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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini Embedding 2GoogleRemove
  2. Claude Fable 5.1AnthropicRemove
gemini-embedding-2-preview vs claude-fable-5.1
AttributeGemini Embedding 2gemini-embedding-2-previewClaude Fable 5.1claude-fable-5.1
Pricing
Input$0.60 / 1M$10.00 / 1M
Output$2.40 / 1M$50.00 / 1M
Cache Write (5m)$0.60 / 1M$12.50 / 1M
Cache Write (1h)$0.60 / 1M$20.00 / 1M
Cache Read$0.60 / 1M$1.00 / 1M
Web Search—$0 / 1M
Context
Max context8.2K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeNoYes
StreamingNoYes
Catalogue
ProviderGoogleAnthropic
Categoryembeddingchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGemini Embedding 2 is Google's advanced text embedding model designed for high-accuracy semantic representation across large-scale retrieval and understanding tasks. It converts text into dense vector embeddings optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. Built for production use, it offers strong multilingual support, improved semantic similarity accuracy, and efficient embedding generation, making it well suited for large knowledge indexing pipelines and enterprise-scale retrieval applications.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.