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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. GPT-6 Sol ProOpenAIRemove
  3. GPT-6.1 SolOpenAIRemove
gemini-embedding-2-preview vs gpt-6-sol-pro vs gpt-6.1-sol
AttributeGemini Embedding 2gemini-embedding-2-previewGPT-6 Sol Progpt-6-sol-proGPT-6.1 Solgpt-6.1-sol
Pricing
Input$0.60 / 1M$2.00 / 1M$2.00 / 1M
Output$2.40 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)$0.60 / 1M$2.00 / 1M$2.00 / 1M
Cache Write (1h)$0.60 / 1M$2.00 / 1M$2.00 / 1M
Cache Read$0.60 / 1M$2.00 / 1M$2.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K1.1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleOpenAIOpenAI
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.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.GPT-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.