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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. Transcribe 1Fish AudioRemove
  2. GPT-6 SolOpenAIRemove
  3. Grok STT 1.0xAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

transcribe-1 vs gpt-6-sol vs grok-stt-1.0 vs perceptron-mk1.5
AttributeTranscribe 1transcribe-1GPT-6 Solgpt-6-solGrok STT 1.0grok-stt-1.0Perceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M$2.00 / 1M$0 / 1M$0.15 / 1M
Output$0 / 1M$10.00 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$2.00 / 1MNot applicable$0.15 / 1M
Cache Write (1h)Not applicable$2.00 / 1MNot applicable$0.15 / 1M
Cache ReadNot applicable$2.00 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1MN/A36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesNoYes
Catalogue
ProviderFish AudioOpenAIxAIPerceptron
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29—2026-07-232026-09-25
Description
SummaryFish Audio Transcribe 1 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 applicationsxAI Grok STT 1.0 speech-to-text. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.