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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. Perceptron Mk1.5PerceptronRemove
  2. Gemini Embedding 2GoogleRemove
  3. GPT-6 Sol ProOpenAIRemove
perceptron-mk1.5 vs gemini-embedding-2-preview vs gpt-6-sol-pro
AttributePerceptron Mk1.5perceptron-mk1.5Gemini Embedding 2gemini-embedding-2-previewGPT-6 Sol Progpt-6-sol-pro
Pricing
Input$0.15 / 1M$0.60 / 1M$2.00 / 1M
Output$1.50 / 1M$2.40 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1M$0.60 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$0.60 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$0.60 / 1M$2.00 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context36.9K8.2K1.1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoNoYes
StreamingYesNoYes
Catalogue
ProviderPerceptronGoogleOpenAI
Categorychatembeddingchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Gemini 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.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.