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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 Sonnet 5.5AnthropicRemove
  3. GPT-6 Luna ProOpenAIRemove
gemini-embedding-2-preview vs claude-sonnet-5.5 vs gpt-6-luna-pro
AttributeGemini Embedding 2gemini-embedding-2-previewClaude Sonnet 5.5claude-sonnet-5.5GPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0.60 / 1M$2.00 / 1M$0.10 / 1M
Output$2.40 / 1M$10.00 / 1M$0.50 / 1M
Cache Write (5m)$0.60 / 1M$2.50 / 1M$0.10 / 1M
Cache Write (1h)$0.60 / 1M$4.00 / 1M$0.10 / 1M
Cache Read$0.60 / 1M$0.20 / 1M$0.10 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K1M1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleAnthropicOpenAI
Categoryembeddingchatchat
Charge typePay As You GoPay 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 Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.