Model Wiki

GPT-5.6 Sol is an OpenAI general-purpose model for demanding reasoning, coding agents, biology analysis, security research and highest-capability workflows.

GPT-5.6 Terra is an OpenAI general-purpose model for everyday assistants, coding collaboration, content generation, complex Q&A and balanced production workloads.

GPT-5.6 Luna is an OpenAI general-purpose model for high-volume support, batch processing, lightweight automation, summarization and cost-sensitive fast tasks.

GPT-5.5 Pro is a large language model from OpenAI, with an approximate context window of 1,050,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.4 Pro is a large language model from OpenAI, with an approximate context window of 1,050,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.3 Chat (latest) is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.3 Codex Spark is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.3 Codex is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.2 is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.2 Pro is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.2 Chat is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.2 Codex is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.1 Codex mini is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.1 Chat is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.1 is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.1 Codex Max is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.1 Codex is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5 Pro is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5-Codex is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5 Chat (latest) is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5 Nano is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5 is a large language model from OpenAI, with an approximate context window of 400,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5 Mini is a large language model from OpenAI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

o3-pro is a large language model from OpenAI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

o4-mini is a large language model from OpenAI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

o3 is a large language model from OpenAI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4.1 is a large language model from OpenAI, with an approximate context window of 1,047,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4.1 mini is a large language model from OpenAI, with an approximate context window of 1,047,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4.1 nano is a large language model from OpenAI, with an approximate context window of 1,047,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

o1-pro is a large language model from OpenAI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

o3-mini is a large language model from OpenAI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

o1 is a large language model from OpenAI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

GPT-4o (2024-11-20) is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

o1-preview is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

o1-mini is a large language model from OpenAI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

GPT-4o (2024-08-06) is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4o mini is a lightweight OpenAI model designed for lower-cost, high-throughput applications while keeping useful multimodal and tool-assisted capabilities.

o4-mini-deep-research is a large language model from OpenAI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

o3-deep-research is a large language model from OpenAI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4o (2024-05-13) is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4o is OpenAI's general-purpose flagship multimodal model. It is suitable for products that need strong text understanding, image analysis, code assistance, tool calling and stable conversation quality at scale.

text-embedding-3-large is a large language model from OpenAI, with an approximate context window of 8,191 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

text-embedding-3-small is a large language model from OpenAI, with an approximate context window of 8,191 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4 Turbo is a large language model from OpenAI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-4 is a large language model from OpenAI, with an approximate context window of 8,192 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-3.5-turbo is a large language model from OpenAI, with an approximate context window of 16,385 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

text-embedding-ada-002 is a large language model from OpenAI, with an approximate context window of 8,192 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GPT-5.4 nano is an OpenAI general-purpose model for batch tagging, simple extraction, routing, preprocessing and extremely cost-sensitive workloads.

GPT-5.4 is an OpenAI general-purpose model for product assistants, content generation, coding assistance, structured processing and multimodal understanding.

GPT-5.4 mini is an OpenAI general-purpose model for high-volume support, summarization, rewriting, lightweight classification and cost-sensitive automation.

GPT-5.5 is an OpenAI general-purpose model for hard Q&A, complex coding, long-form analysis and agent workflows.

GPT Image 2 is an OpenAI image model for text-to-image generation, image editing, creative design and visual content workflows.

GPT Realtime 2 is an OpenAI realtime model for low-latency voice input, voice output and interactive conversational experiences.

GPT Realtime mini is an OpenAI realtime model for low-latency voice input, voice output and interactive conversational experiences.

GPT Realtime 1.5 is an OpenAI realtime model for low-latency voice input, voice output and interactive conversational experiences.

GPT Realtime Translate focuses on low-latency speech translation for cross-language calls, meetings and voice products.

GPT Realtime Whisper is an OpenAI speech-to-text model for transcription, captions, voice input and audio content processing.

GPT-4o Transcribe is an OpenAI speech-to-text model for transcription, captions, voice input and audio content processing.

GPT-4o mini Transcribe is an OpenAI speech-to-text model for transcription, captions, voice input and audio content processing.

GPT-4o mini TTS turns text into speech for narration, assistant replies, read-aloud experiences and voice-enabled products.

Claude Sonnet 5 is an Anthropic Claude model for coding, agents and professional work at scale, with a focus on long-context understanding, writing quality and reliable analysis.

Claude Fable 5 is an Anthropic Claude model for ambitious knowledge work, complex coding, long-running agents and multi-day enterprise workflows, with a focus on long-context understanding, writing quality and reliable analysis.

Claude Mythos 5 is an Anthropic Claude model for cybersecurity, biology research, healthcare benchmarks and trusted high-risk research workflows, with a focus on long-context understanding, writing quality and reliable analysis.

Claude Opus 4.8 is an Anthropic Claude model for serious coding, agentic workflows, long-running tasks and high-stakes professional work, with a focus on long-context understanding, writing quality and reliable analysis.

Claude Opus 4.7 is a large language model from Anthropic, with an approximate context window of 1,000,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Sonnet 4.6 is a large language model from Anthropic, with an approximate context window of 1,000,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Opus 4.6 is a large language model from Anthropic, with an approximate context window of 1,000,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Opus 4.5 (latest) is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Haiku 4.5 (latest) is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Anthropicclaude

Claude Sonnet 4.5 is positioned as a high-quality model for coding, long-form reasoning, agent workflows and structured professional writing. It is a strong option when reliability and instruction following matter.

Claude Opus 4.1 (latest) is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Opus 4 (latest) is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Sonnet 4 (latest) is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Anthropicclaude

Claude Sonnet 4 is a large language model from Anthropic. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Anthropicclaude

Claude Opus 4 is positioned for demanding tasks that need stronger reasoning, deeper code understanding and careful execution over longer workflows.

Claude Sonnet 3.7 is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Haiku 3.5 (latest) is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Haiku 3.5 is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Sonnet 3.5 v2 is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Haiku 3 is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Sonnet 3 is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Claude Opus 3 is a large language model from Anthropic, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Anthropicclaude

Claude Haiku 4 is a large language model from Anthropic. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Gemini 3.5 Flash is a large language model from Google. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 3.1 Flash Lite is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemma 4 31B IT is a large language model from Google, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 3.1 Flash Lite Preview is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Nano Banana 2 is a large language model from Google, with an approximate context window of 131,072 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 3.1 Pro Preview Custom Tools is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 3.1 Pro Preview is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 3 Flash Preview is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Nano Banana Pro is a large language model from Google, with an approximate context window of 131,072 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 3 Pro Preview is a large language model from Google, with an approximate context window of 1,000,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini Flash Latest is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini Flash-Lite Latest is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Nano Banana is a large language model from Google, with an approximate context window of 32,768 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 2.5 Pro is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 2.5 Flash-Lite is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 2.5 Flash is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini Embedding 001 is a large language model from Google, with an approximate context window of 2,048 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 2.5 Pro Preview TTS is a large language model from Google, with an approximate context window of 8,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 2.5 Flash Preview TTS is a large language model from Google, with an approximate context window of 8,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Googlegemini-pro

Gemini 2.5 Pro is Google's high-capability Gemini model, useful for complex reasoning, long-context analysis and multimodal applications across text and media inputs.

Googlegemini-flash

Gemini 2.5 Flash is optimized for speed and efficiency, making it suitable for interactive products, lightweight reasoning and high-volume calls.

Gemini 2.0 Flash-Lite is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Gemini 2.0 Flash is a large language model from Google, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Googlegemini

Gemini Experimental 1206 is a large language model from Google. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

DeepSeek Reasoner is a large language model from DeepSeek, with an approximate context window of 1,000,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

DeepSeekdeepseek

DeepSeek Chat is a large language model from DeepSeek. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

DeepSeek V4 Pro is a DeepSeek model for higher-quality Chinese tasks, coding and enterprise workloads, often evaluated for Chinese tasks, coding and cost efficiency.

DeepSeek V4 Flash is a DeepSeek model for low-latency chat, coding and high-volume production workloads, often evaluated for Chinese tasks, coding and cost efficiency.

DeepSeekdeepseek

DeepSeek V3 is a general-purpose chat model known for strong value, Chinese language tasks and coding assistance. It is often considered for cost-sensitive production workloads.

DeepSeekdeepseek

DeepSeek R1 focuses on reasoning-heavy tasks such as mathematical thinking, multi-step logic and code analysis while remaining attractive for value-conscious teams.

Qwen3.7 Max is a Qwen model from Alibaba Cloud for advanced reasoning, coding, high-quality Chinese tasks and enterprise workloads, commonly evaluated for Chinese enterprise and automation workloads.

Qwen3.7 Plus is a Qwen model from Alibaba Cloud for balanced enterprise Q&A, writing, coding and agent workflows, commonly evaluated for Chinese enterprise and automation workloads.

Alibaba Cloud (Qwen)qwen

Qwen Turbo is a large language model from Qwen. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Alibaba Cloud (Qwen)qwen

Qwen Plus is a balanced model in the Qwen family, suitable for common enterprise workloads, Chinese writing, knowledge Q&A and code assistance.

Alibaba Cloud (Qwen)qwen

Qwen Max is a high-end model in the Qwen family. It is useful for Chinese enterprise scenarios, complex writing, knowledge workflows and code assistance.

Kimi K2.7 Code is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2.7 Code HighSpeed is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2.6 is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2.5 is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2 Thinking is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2 Thinking Turbo is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2 0905 is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2 Turbo is a large language model from Moonshot AI, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Kimi K2 0711 is a large language model from Moonshot AI, with an approximate context window of 131,072 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Moonshot v1 128K is a Moonshot/Kimi model for very long-document analysis, retrieval-augmented reading and complex context workflows, often evaluated for Chinese document and knowledge workflows.

Kimi K2 is a Moonshot/Kimi model for complex reasoning, coding, agent workflows and higher-value production tasks, often evaluated for Chinese document and knowledge workflows.

Kimi K2.6 is a Moonshot/Kimi model for complex reasoning, coding, agent workflows and production assistants, often evaluated for Chinese document and knowledge workflows.

Kimi K2.5 is a Moonshot/Kimi model for coding, long-running tasks and agent workflows, often evaluated for Chinese document and knowledge workflows.

Moonshot v1 8K is a large language model from Moonshot AI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Moonshot v1 32K is a large language model from Moonshot AI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

GLM-4.7-FlashX is a large language model from Zhipu AI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.7-Flash is a large language model from Zhipu AI, with an approximate context window of 200,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.7 is a large language model from Zhipu AI, with an approximate context window of 204,800 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.6V is a large language model from Zhipu AI, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.6 is a large language model from Zhipu AI, with an approximate context window of 204,800 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.5V is a large language model from Zhipu AI, with an approximate context window of 64,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.5-Air is a large language model from Zhipu AI, with an approximate context window of 131,072 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.5 is a large language model from Zhipu AI, with an approximate context window of 131,072 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4.5-Flash is a large language model from Zhipu AI, with an approximate context window of 131,072 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

GLM-4-Air is a Zhipu AI GLM model for low-cost high-concurrency Chinese assistant workloads, commonly evaluated for Chinese enterprise and agent workflows.

GLM-4-Flash is a Zhipu AI GLM model for fast responses, lightweight automation and high-frequency conversations, commonly evaluated for Chinese enterprise and agent workflows.

GLM-4.5 is a Zhipu AI GLM model for agent workflows, coding and complex reasoning tasks, commonly evaluated for Chinese enterprise and agent workflows.

GLM-Z1 is a Zhipu AI GLM model for multi-step reasoning, math, coding and complex problem solving, commonly evaluated for Chinese enterprise and agent workflows.

GLM-5.1 is a Zhipu AI GLM model for advanced reasoning, coding and agent workflows, commonly evaluated for Chinese enterprise and agent workflows.

GLM-5-Turbo is a Zhipu AI GLM model for cost-efficient Chinese business tasks and high-volume assistants, commonly evaluated for Chinese enterprise and agent workflows.

GLM-5 is a Zhipu AI GLM model for Chinese dialogue, coding and enterprise applications, commonly evaluated for Chinese enterprise and agent workflows.

GLM-4-Plus is a large language model from Zhipu AI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

GLM-4 is a large language model from Zhipu AI. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

ABAB6.5s Chat is a MiniMax model for Chinese chat, writing and business assistant workloads, often evaluated for Chinese assistants, generation and multimedia workflows.

ABAB6.5 Chat is a MiniMax model for general conversation, long-text understanding and complex interactions, often evaluated for Chinese assistants, generation and multimedia workflows.

MiniMax Text 01 is a MiniMax model for general language understanding, generation and agent workflows, often evaluated for Chinese assistants, generation and multimedia workflows.

MiniMax M1 is a MiniMax model for long-context reasoning, coding and complex task planning, often evaluated for Chinese assistants, generation and multimedia workflows.

MiniMax Speech 01 focuses on voice generation and multimedia experiences rather than general text conversation.

MiniMax M3 is a MiniMax model for coding, agent workflows and complex production tasks, often evaluated for Chinese assistants, generation and multimedia workflows.

abab7-chat is a large language model from MiniMax. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

abab6.5s-chat is a large language model from MiniMax. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Step 3.5 Flash 2603 is a large language model from stepfun, with an approximate context window of 256,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Step 1 32K is a StepFun model for document understanding, summarization and knowledge Q&A, commonly evaluated for Chinese assistants, document and multimodal workflows.

Step 3.5 Flash is a StepFun model for reasoning, Q&A and business assistant workloads, commonly evaluated for Chinese assistants, document and multimodal workflows.

Step 1 128K is a StepFun model for very long-document analysis and retrieval-augmented workflows, commonly evaluated for Chinese assistants, document and multimodal workflows.

Step 2 Mini is a StepFun model for low-latency and cost-sensitive high-volume workloads, commonly evaluated for Chinese assistants, document and multimodal workflows.

Step 1V 8K is a StepFun model for visual Q&A, multimodal analysis and image-text understanding, commonly evaluated for Chinese assistants, document and multimodal workflows.

Step 3.7 Flash is a StepFun model for efficient reasoning, complex Chinese tasks and production assistants, commonly evaluated for Chinese assistants, document and multimodal workflows.

Step-1 8K is a large language model from StepFun. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Step-2 16K is a large language model from StepFun. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Doubao Pro is a Volcengine Doubao model for higher-quality Chinese assistants, content generation and business automation, often evaluated for Chinese enterprise and multimodal workflows.

Doubao Lite is a Volcengine Doubao model for low-cost high-concurrency chat and lightweight text tasks, often evaluated for Chinese enterprise and multimodal workflows.

Doubao Seed 1.6 is a Volcengine Doubao model for general chat, reasoning and agent workflow evaluation, often evaluated for Chinese enterprise and multimodal workflows.

Doubao Seed 1.6 Thinking is a Volcengine Doubao model for complex reasoning, multi-step analysis and coding assistance, often evaluated for Chinese enterprise and multimodal workflows.

Doubao Vision Pro is a Volcengine Doubao model for image-text analysis, multimodal Q&A and visual content understanding, often evaluated for Chinese enterprise and multimodal workflows.

Doubao Pro 32K is a large language model from Volcengine. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Doubao Lite 32K is a large language model from Volcengine. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

MiMo-V2.5-Pro-UltraSpeed is a large language model from Xiaomi, with an approximate context window of 1,048,576 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

MiMo V2.5 is a Xiaomi MiMo model for Chinese conversation, content generation and tool-use workflows, useful for Chinese assistants, tool use and ecosystem-oriented applications.

MiMo V2.5 Pro is a Xiaomi MiMo model for complex reasoning, coding and long-text tasks, useful for Chinese assistants, tool use and ecosystem-oriented applications.

MiMo V2 Flash is a Xiaomi MiMo model for low-latency high-frequency chat and quick responses, useful for Chinese assistants, tool use and ecosystem-oriented applications.

MiMo V2 Omni is a Xiaomi MiMo model for multimodal understanding and integrated interactive experiences, useful for Chinese assistants, tool use and ecosystem-oriented applications.

MiMo V2 Pro is a Xiaomi MiMo model for complex tasks, coding assistance and business automation, useful for Chinese assistants, tool use and ecosystem-oriented applications.

ERNIE 4.0 Turbo 8K is a Baidu ERNIE/Qianfan model for Chinese understanding, content generation and enterprise applications, commonly evaluated for Chinese enterprise workloads.

ERNIE 4.5 Turbo is a Baidu ERNIE/Qianfan model for multi-scenario Chinese tasks, knowledge Q&A and business assistants, commonly evaluated for Chinese enterprise workloads.

ERNIE X1 is a Baidu ERNIE/Qianfan model for complex analysis, logical reasoning and multi-step problem solving, commonly evaluated for Chinese enterprise workloads.

ERNIE Speed is a Baidu ERNIE/Qianfan model for low-latency conversations and high-frequency basic text tasks, commonly evaluated for Chinese enterprise workloads.

ERNIE Lite is a Baidu ERNIE/Qianfan model for cost-sensitive Q&A, summarization and content generation, commonly evaluated for Chinese enterprise workloads.

Baidu (ERNIE)ernie

ERNIE 4.0 Turbo 8K is a large language model from Baidu. This entry summarizes its positioning, typical use cases, strengths, limitations and related pricing signals for quick comparison.

Mistral Medium (latest) is a large language model from Mistral, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Mistral Medium 3.5 is a large language model from Mistral, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Mistral Small 4 is a large language model from Mistral, with an approximate context window of 256,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Devstral 2 is a large language model from Mistral, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Devstral Small 2 is a large language model from Mistral, with an approximate context window of 256,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Devstral 2 is a large language model from Mistral, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Devstral 2 (latest) is a large language model from Mistral, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Mistral Medium 3.1 is a large language model from Mistral, with an approximate context window of 262,144 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Devstral Medium is a large language model from Mistral, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Devstral Small is a large language model from Mistral, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Mistral Small 3.2 is a large language model from Mistral, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Devstral Small 2505 is a large language model from Mistral, with an approximate context window of 128,000 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.

Mistral Medium 3 is a large language model from Mistral, with an approximate context window of 131,072 tokens. It can be evaluated for assistants, knowledge Q&A, content generation, structured extraction and business automation. Pricing and availability may vary by upstream provider or relay service.