Model Wiki

GPT-6.1 Sol is an OpenAI general-purpose model for coding agents, complex document understanding, computer use and multi-step business workflows.

GPT-6 Luna is an OpenAI general-purpose model for high-volume support, summarization, extraction, classification and cost-sensitive automation.

GPT-6 Sol is an OpenAI general-purpose model for professional work, coding agents, computer use and cost-efficient demanding tasks.

GPT-6 Astra is an OpenAI general-purpose model for complex reasoning, coding agents, computer use, research and document creation.

GPT-5.6 is a gpt-sol model from OpenAI (~1.1M context, input around $4/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-Realtime-2.1 is a gpt model from OpenAI (~128K context, input around $4/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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

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

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

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

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

GPT Realtime 1.5 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 2 is an OpenAI realtime model for low-latency voice input, voice output and interactive conversational experiences.

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

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

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

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

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

GPT-5.5 Pro is a gpt-pro model from OpenAI (~1.1M context, input around $30/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.4 Pro is a gpt-pro model from OpenAI (~1.1M context, input around $30/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.3 Chat (latest) is a gpt model from OpenAI (~128K context, input around $1.75/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.3 Codex is a gpt-codex model from OpenAI (~400K context, input around $1.75/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.3 Codex Spark is a gpt-codex-spark model from OpenAI (~128K context, input around $1.75/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

chatgpt-image-latest is a gpt-image model from OpenAI. Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.2 Codex is a gpt-codex model from OpenAI (~400K context, input around $1.75/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.2 Chat is a gpt-codex model from OpenAI (~128K context, input around $1.75/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.2 Pro is a gpt-pro model from OpenAI (~400K context, input around $21/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.2 is a gpt model from OpenAI (~400K context, input around $1.75/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

gpt-image-1.5 is a gpt-image model from OpenAI. Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.1 Codex is a gpt-codex model from OpenAI (~400K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.1 Codex Max is a gpt-codex model from OpenAI (~400K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.1 is a gpt model from OpenAI (~400K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.1 Chat is a gpt-codex model from OpenAI (~128K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5.1 Codex mini is a gpt-codex model from OpenAI (~400K context, input around $0.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5 Pro is a gpt-pro model from OpenAI (~400K context, input around $15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

gpt-image-1-mini is a gpt-image model from OpenAI. Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5-Codex is a gpt-codex model from OpenAI (~400K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5 is a gpt model from OpenAI (~400K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5 Nano is a gpt-nano model from OpenAI (~400K context, input around $0.05/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-5 Chat (latest) is a gpt-codex model from OpenAI (~400K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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 o-pro model from OpenAI (~200K context, input around $20/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

gpt-image-1 is a gpt-image model from OpenAI. Suitable for assistants, content generation, knowledge Q&A and business automation

o3 is a o model from OpenAI (~200K context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

o4-mini is a o-mini model from OpenAI (~200K context, input around $1.1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-4.1 nano is a gpt-nano model from OpenAI (~1M context, input around $0.1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-4.1 mini is a gpt-mini model from OpenAI (~1M context, input around $0.4/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-4.1 is a gpt model from OpenAI (~1M context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

o1-pro is a o-pro model from OpenAI (~200K context, input around $150/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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 gpt model from OpenAI (~128K context, input around $2.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

o1-preview is a o model from OpenAI (~128K context, input around $15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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 gpt model from OpenAI (~128K context, input around $2.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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

o3-deep-research is a o model from OpenAI (~200K context, input around $10/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

o4-mini-deep-research is a o-mini model from OpenAI (~200K context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-4o (2024-05-13) is a gpt model from OpenAI (~128K context, input around $5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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-small is a text-embedding model from OpenAI (~8.2K context, input around $0.02/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

text-embedding-3-large is a text-embedding model from OpenAI (~8.2K context, input around $0.13/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-4 is a gpt model from OpenAI (~8.2K context, input around $30/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-4 Turbo is a gpt model from OpenAI (~128K context, input around $10/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GPT-3.5-turbo is a gpt model from OpenAI (~16.4K context, input around $0.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

text-embedding-ada-002 is a text-embedding model from OpenAI (~8.2K context, input around $0.1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Haiku 5.5 is a claude-haiku model from Anthropic (~1M context, input around $0.1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Sonnet 5.5 is available on Claude Platform, AWS, Google Cloud and Azure. Anthropic reports over 30% faster output and up to 30% lower task cost than Sonnet 5, not lower token rates.

Released on September 22, 2026, Claude Opus 5.5 uses API model ID claude-opus-5-5 and costs $4 per million input tokens, $20 per million output tokens and $0.20 per million cache-read tokens.

Released on September 1, 2026, Claude Fable 5.1 is Anthropic’s generally available model for complex coding, knowledge work and long-running agents. Its API model ID is claude-fable-5-1. Standard input and output pricing remains $10 and $50 per million tokens, while cache reads cost $0.25 per million tokens.

Claude Opus 5 is an Anthropic Claude model for complex coding, long-running agents, professional knowledge work and scientific research, with a focus on long-context understanding, writing quality and reliable analysis.

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 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 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 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.

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.

Claude Opus 4.7 is a claude-opus model from Anthropic (~1M context, input around $5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Sonnet 4.6 is a claude-sonnet model from Anthropic (~1M context, input around $3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Opus 4.6 is a claude-opus model from Anthropic (~1M context, input around $5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Opus 4.5 is a claude-opus model from Anthropic (~200K context, input around $5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Haiku 4.5 (latest) is a claude-haiku model from Anthropic (~200K context, input around $1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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 is a claude-opus model from Anthropic (~200K context, input around $15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Sonnet 4 (latest) is a claude-sonnet model from Anthropic (~200K context, input around $3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Opus 4 (latest) is a claude-opus model from Anthropic (~200K context, input around $15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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 claude-sonnet model from Anthropic (~200K context, input around $3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Sonnet 3.5 v2 is a claude-sonnet model from Anthropic (~200K context, input around $3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Haiku 3.5 is a claude-haiku model from Anthropic (~200K context, input around $0.8/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Haiku 3.5 (latest) is a claude-haiku model from Anthropic (~200K context, input around $0.8/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Haiku 3 is a claude-haiku model from Anthropic (~200K context, input around $0.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Sonnet 3 is a claude-sonnet model from Anthropic (~200K context, input around $3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Claude Opus 3 is a claude-opus model from Anthropic (~200K context, input around $15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini Flash Latest is a gemini-flash model from Google (~1M context, input around $1.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.6 Flash is a stable Flash model in Google’s official catalog for general agent and everyday tasks balancing speed and multimodal understanding.

Gemini 3.5 Flash Lite is a gemini-flash-lite model from Google (~1M context, input around $0.3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini Flash-Lite Latest is a gemini-flash-lite model from Google (~1M context, input around $0.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Nano Banana 2 Lite is a gemini-flash-lite model from Google (~65.5K context, input around $0.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini Omni Flash Preview is a gemini model from Google (~131.1K context, input around $1.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.5 Live Translate Preview is a gemini-pro model from Google (~16.4K context, input around $3.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Nano Banana Pro is a gemini-pro model from Google (~131.1K context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Nano Banana 2 is a gemini-flash model from Google (~65.5K context, input around $0.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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.

Gemini 3.5 Flash is a gemini-flash model from Google (~1M context, input around $1.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.1 Flash Lite is a gemini-flash-lite model from Google (~1M context, input around $0.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini Embedding 2 is a gemini model from Google (~8.2K context, input around $0.2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Deep Research Max Preview (Apr-21-2026) is a gemini-pro model from Google (~131.1K context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Deep Research Preview (Apr-21-2026) is a gemini-pro model from Google (~131.1K context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.1 Flash TTS Preview is a gemini-flash model from Google (~8.2K context, input around $1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini Robotics-ER 1.6 Preview is a gemini model from Google (~131.1K context, input around $1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemma 4 26B A4B IT is a gemma model from Google (~262.1K context). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemma 4 31B IT is a gemma model from Google (~262.1K context). Suitable for assistants, content generation, knowledge Q&A and business automation

Veo 3.1 lite is a veo model from Google. Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.1 Flash Live Preview is a gemini-flash model from Google (~131.1K context, input around $0.75/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Lyria 3 Clip Preview is a lyria model from Google (~1M context, input around $0/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Lyria 3 Pro Preview is a lyria model from Google (~1M context, input around $0/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.1 Flash Lite Preview is a gemini-flash-lite model from Google (~1M context, input around $0.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Nano Banana 2 is a gemini-flash model from Google (~65.5K context, input around $0.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.1 Pro Preview is a gemini-pro model from Google (~1M context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3.1 Pro Preview Custom Tools is a gemini-pro model from Google (~1M context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3 Flash Preview is a gemini-flash model from Google (~1M context, input around $0.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Nano Banana Pro is a gemini-pro model from Google (~131.1K context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 3 Pro Preview is a gemini-pro model from Google (~1M context, input around $2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Veo 3.1 fast is a veo model from Google. Suitable for assistants, content generation, knowledge Q&A and business automation

Veo 3.1 is a veo model from Google. Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 2.5 Computer Use Preview 10-2025 is a gemini-pro model from Google (~131.1K context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Nano Banana is a gemini-flash model from Google (~32.8K context, input around $0.3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 2.5 Flash is a gemini-flash model from Google (~1M context, input around $0.3/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 2.5 Flash-Lite is a gemini-flash-lite model from Google (~1M context, input around $0.1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 2.5 Pro is a gemini-pro model from Google (~1M context, input around $1.25/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini Embedding 001 is a gemini model from Google (~2K context, input around $0.15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 2.5 Flash Preview TTS is a gemini-flash model from Google (~8.2K context, input around $0.5/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 2.5 Pro Preview TTS is a gemini-flash model from Google (~8.2K context, input around $1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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 is a gemini-flash model from Google (~1M context, input around $0.1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Gemini 2.0 Flash-Lite is a gemini-flash-lite model from Google (~1M context, input around $0.075/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

DeepSeek V4.1 Flash uses deepseek-flash with native visual understanding for image-text Q&A, coding assistance and content analysis.

DeepSeek V4 Flash Vision Exp is an experimental DeepSeek V4 vision model with text and image input, a 1M context window, up to 384K output, and thinking and non-thinking modes.

DeepSeek V4 Pro 0813 is a DeepSeek V4 model currently backed by DeepSeek-V4-Pro-0813, with a 1M context window, up to 384K output, and thinking and non-thinking modes.

DeepSeek V4 Pro is a DeepSeek V4 model currently backed by DeepSeek-V4-Pro-0813, with a 1M context window, up to 384K output, and thinking and non-thinking modes.

DeepSeek V4 Flash 0731 is a DeepSeek V4 model currently backed by DeepSeek-V4-Flash-0731, with a 1M context window, up to 384K output, and thinking and non-thinking modes.

DeepSeek V4 Flash is a DeepSeek V4 model currently backed by DeepSeek-V4-Flash-0731, with a 1M context window, up to 384K output, and thinking and non-thinking modes.

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.

DeepSeek Reasoner is a deepseek-thinking model from DeepSeek (~1M context, input around $0.14/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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.

Qwen3.8 Omni Flash Realtime is a Qwen model listed by Alibaba Cloud for realtime audio/video conversations and speech interaction.

Qwen3.8 Omni Flash is a Qwen model listed by Alibaba Cloud for text, image, audio and video understanding with text output.

Qwen3.8 Flash is a Qwen model listed by Alibaba Cloud for text generation.

Qwen3.8 Max is a Qwen model listed by Alibaba Cloud for text generation and image/video understanding.

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.

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.

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 K3 is Moonshot AI's flagship model with a 1M-token context window and native visual understanding for long-horizon coding, knowledge work and deep reasoning.

Kimi K2.7 Code HighSpeed is a kimi-k2 model from Moonshot AI (~262.1K context, input around $1.9/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Kimi K2.7 Code is a kimi-k2 model from Moonshot AI (~262.1K context, input around $0.95/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

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

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.

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.

Kimi K2.6 is a kimi-k2 model from Moonshot AI (~262.1K context, input around $0.95/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Kimi K2.5 is a kimi-k2 model from Moonshot AI (~262.1K context, input around $0.6/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Kimi K2 Thinking Turbo is a kimi-thinking model from Moonshot AI (~262.1K context, input around $1.15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Kimi K2 Thinking is a kimi-thinking model from Moonshot AI (~262.1K context, input around $0.6/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Kimi K2 Turbo is a kimi-k2 model from Moonshot AI (~262.1K context, input around $2.4/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Kimi K2 0905 is a kimi-k2 model from Moonshot AI (~262.1K context, input around $0.6/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

Kimi K2 0711 is a kimi-k2 model from Moonshot AI (~131.1K context, input around $0.6/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5.3-Flash accepts text, images, video and files with text output, a 1M context and 128K maximum output, through the model API and GLM Coding Plan.

GLM-5.3-FlashX is a glm-flash model from Zhipu AI (~1M context, input around $0.37/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5.3-FlashX accepts text, image, video and file input with a 1M-token context window, 128K maximum output and an official rated speed of up to 200 tokens/s.

GLM-5.3-Flash is a glm-flash model from Zhipu AI (~1M context, input around $0.15/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5.3 is a glm model from Zhipu AI (~1M context, input around $1.4/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5.2 is a Zhipu AI GLM model for complex software engineering, coding and long-running agent workflows, commonly evaluated for Chinese enterprise and agent workflows.

GLM-5.3 supports a 1M-token context window and 128K maximum output with always-on reasoning at low, high or max effort. It is available in GLM Coding Plan, while the model API is not yet generally available.

GLM-5.2 is a glm model from Zhipu AI (~1M context, input around $1.4/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5 is a Zhipu AI GLM model for Chinese dialogue, coding and enterprise applications, 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-5.1 is a Zhipu AI GLM model for advanced reasoning, coding and agent workflows, 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-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-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-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-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.

GLM-5.1 is a glm model from Zhipu AI (~200K context, input around $1.4/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5V-Turbo is a glm model from Zhipu AI (~200K context, input around $1.2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5-Turbo is a glm model from Zhipu AI (~200K context, input around $1.2/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-5 is a glm model from Zhipu AI (~204.8K context, input around $1/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-4.7-Flash is a glm-flash model from Zhipu AI (~200K context, input around $0/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation

GLM-4.7-FlashX is a glm-flash model from Zhipu AI (~200K context, input around $0.07/1M tokens). Suitable for assistants, content generation, knowledge Q&A and business automation