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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 1 ProFish AudioRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Speech 2.8 TurboMiniMaxRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs perceptron-mk1.5 vs speech-2.8-turbo vs gpt-6-sol
AttributeTranscribe 1 Protranscribe-1-proPerceptron Mk1.5perceptron-mk1.5Speech 2.8 Turbospeech-2.8-turboGPT-6 Solgpt-6-sol
Pricing
Input$0 / 1M$0.15 / 1M$0 / 1M$2.00 / 1M
Output$0 / 1M$1.50 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$0.15 / 1MNot applicable$2.00 / 1M
Cache Write (1h)Not applicable$0.15 / 1MNot applicable$2.00 / 1M
Cache ReadNot applicable$0.15 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A36.9KN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoNoYes
Function CallingNoNoNoYes
JSON ModeNoNoNoYes
StreamingNoYesNoYes
Catalogue
ProviderFish AudioPerceptronMiniMaxOpenAI
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-242026-09-252026-07-16—
Description
SummaryFish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.MiniMax Speech 2.8 Turbo text-to-speech. Billed per input character; each Chinese (Han) character counts as 2.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