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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. GPT-6.1 SolOpenAIRemove
  2. Gemini Embedding 2GoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-6.1-sol vs gemini-embedding-2-preview vs perceptron-mk1.5
AttributeGPT-6.1 Solgpt-6.1-solGemini Embedding 2gemini-embedding-2-previewPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$0.60 / 1M$0.15 / 1M
Output$10.00 / 1M$2.40 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1M$0.60 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1M$0.60 / 1M$0.15 / 1M
Cache Read$2.00 / 1M$0.60 / 1M$0.15 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context1M8.2K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesNoNo
StreamingYesNoYes
Catalogue
ProviderOpenAIGooglePerceptron
Categorychatembeddingchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.