Scan to join WeChat groupGemini Embedding 2
Gemini Embedding 2: a gemini model from Google, ~8.2K context, knowledge cutoff 2025-11
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
starsCapabilities
visibilityVision understanding
paymentsContext and pricing
Context limit8,192
Max output1
Knowledge cutoff2025-11
Input price$0.2/ 1M tokens
Output price$0/ 1M tokens
descriptionOverview
Overview
Gemini Embedding 2 is provided by Google, model ID gemini-embedding-2
Key specs
- Context: 8.2K tokens
- Max output: 1 tokens
- Knowledge cutoff: 2025-11
- Input price: $0.2/1M
- Output price: $0/1M
Best for
Consider Gemini Embedding 2 when comparing context length, pricing, multimodal support and relay availability
lightbulbUse cases
- Image and multimodal Q&A
- Visual content analysis
- Document and screenshot understanding
thumb_upStrengths
- Supports image and multimodal input
- Priced and relay availability tracked here for easy side-by-side comparison
infoLimitations
- Knowledge cutoff 2025-11; newer facts need external retrieval
- Relatively short context (~8.2K); long inputs need chunking
- Low single-response output limit
- Pricing and availability vary by upstream and relay; verify with official docs and tests