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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 3.5 TranscribeGoogleRemove
  2. GPT-6 SolOpenAIRemove
  3. S1Fish AudioRemove
  4. GPT-6 Luna ProOpenAIRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs gpt-6-sol vs s1 vs gpt-6-luna-pro
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Solgpt-6-solS1s1GPT-6 Luna Progpt-6-luna-pro
Pricing
Input$0 / 1M$2.00 / 1M$0 / 1M$0.10 / 1M
Output$0 / 1M$10.00 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)Not applicable$2.00 / 1MNot applicable$0.10 / 1M
Cache Write (1h)Not applicable$2.00 / 1MNot applicable$0.10 / 1M
Cache ReadNot applicable$2.00 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1.1MN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesNoYes
Catalogue
ProviderGoogleOpenAIFish AudioOpenAI
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-07-29—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.