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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. GPT-6 Sol ProOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-embedding-2-preview vs gpt-6-sol-pro vs gemini-3.5-transcribe
AttributeGemini Embedding 2gemini-embedding-2-previewGPT-6 Sol Progpt-6-sol-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.60 / 1M$2.00 / 1M— Not priced per input token
Output$2.40 / 1M$10.00 / 1M— Not priced per output token
Cache Write (5m)$0.60 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$0.60 / 1M$2.00 / 1MNot applicable
Cache Read$0.60 / 1M$2.00 / 1MNot applicable
Web Search—$0 / 1M$0 / 1M
Context
Max context8.2K1.1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeNoYesNo
StreamingNoYesNo
Catalogue
ProviderGoogleOpenAIGoogle
Categoryembeddingchatvoice
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.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.