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Compare models

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. Perceptron Mk1.5PerceptronRemove
  3. Claude Sonnet 5.5AnthropicRemove
gemini-embedding-2-preview vs perceptron-mk1.5 vs claude-sonnet-5.5
AttributeGemini Embedding 2gemini-embedding-2-previewPerceptron Mk1.5perceptron-mk1.5Claude Sonnet 5.5claude-sonnet-5.5
Pricing
Input$0.60 / 1M$0.15 / 1M$2.00 / 1M
Output$2.40 / 1M$1.50 / 1M$10.00 / 1M
Cache Write (5m)$0.60 / 1M$0.15 / 1M$2.50 / 1M
Cache Write (1h)$0.60 / 1M$0.15 / 1M$4.00 / 1M
Cache Read$0.60 / 1M$0.15 / 1M$0.20 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoYesYes
Catalogue
ProviderGooglePerceptronAnthropic
Categoryembeddingchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.