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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. S1Fish AudioRemove
  2. Grok STT 1.0xAIRemove
  3. GPT-6 SolOpenAIRemove
  4. GPT-6 Sol ProOpenAIRemove

4 is the maximum. Remove one to add another.

s1 vs grok-stt-1.0 vs gpt-6-sol vs gpt-6-sol-pro
AttributeS1s1Grok STT 1.0grok-stt-1.0GPT-6 Solgpt-6-solGPT-6 Sol Progpt-6-sol-pro
Pricing
Input$0 / 1M$0 / 1M$2.00 / 1M$2.00 / 1M
Output$0 / 1M$0 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)Not applicableNot applicable$2.00 / 1M$2.00 / 1M
Cache Write (1h)Not applicableNot applicable$2.00 / 1M$2.00 / 1M
Cache ReadNot applicableNot applicable$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1.1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderFish AudioxAIOpenAIOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-292026-07-23——
Description
SummaryFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.xAI Grok STT 1.0 speech-to-text. Billed per second of audio.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 applicationsGPT-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.