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

4 is the maximum. Remove one to add another.

gpt-6-astra-pro vs gemini-3.5-transcribe vs s1 vs gpt-6-sol
AttributeGPT-6 Astra Progpt-6-astra-proGemini 3.5 Transcribegemini-3.5-transcribeS1s1GPT-6 Solgpt-6-sol
Pricing
Input$10.00 / 1M$0 / 1M$0 / 1M$2.00 / 1M
Output$50.00 / 1M$0 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)$10.00 / 1MNot applicableNot applicable$2.00 / 1M
Cache Write (1h)$10.00 / 1MNot applicableNot applicable$2.00 / 1M
Cache Read$10.00 / 1MNot applicableNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3KN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderOpenAIGoogleFish AudioOpenAI
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-07-29—
Description
SummaryGPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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 applications