Scan to join WeChat groupGemini Embedding 001
Gemini Embedding 001 is a gemini model from Google for assistants, generation and automation tasks
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.
starsCapabilities
streamStreaming output
paymentsContext and pricing
Context limit2,048
Max output1
Knowledge cutoff2025-05
Input price$0.15/ 1M tokens
Output price$0/ 1M tokens
descriptionOverview
Overview
Gemini Embedding 001 is a model from Google with model ID gemini-embedding-001. This wiki entry helps compare its positioning, pricing signals, common use cases and relay availability.
Best for
Use Gemini Embedding 001 as a candidate when comparing context length, input/output pricing, tool support, multimodal capability and real-world latency.
lightbulbUse cases
- Assistants and customer support
- Content generation and rewriting
- Knowledge Q&A and summarization
- Structured extraction
thumb_upStrengths
- Useful for common language tasks
- Easy to compare with related models
- Can be evaluated with pricing and relay availability
- Good candidate for model selection
infoLimitations
- Exact capability depends on provider implementation
- Pricing and availability can change
- Complex tasks still need evaluation
- Auto-generated content should be checked against official sources