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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. Speech 2.8 TurboMiniMaxRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs speech-2.8-turbo vs perceptron-mk1.5 vs gpt-6-luna
AttributeTranscribe 1 Protranscribe-1-proSpeech 2.8 Turbospeech-2.8-turboPerceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-luna
Pricing
Input$0 / 1M$0 / 1M$0.15 / 1M$0.10 / 1M
Output$0 / 1M$0 / 1M$1.50 / 1M$0.50 / 1M
Cache Write (5m)Not applicableNot applicable$0.15 / 1M$0.10 / 1M
Cache Write (1h)Not applicableNot applicable$0.15 / 1M$0.10 / 1M
Cache ReadNot applicableNot applicable$0.15 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A36.9K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoNoYes
Function CallingNoNoNoYes
JSON ModeNoNoNoYes
StreamingNoNoYesYes
Catalogue
ProviderFish AudioMiniMaxPerceptronOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-242026-07-162026-09-25—
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.MiniMax Speech 2.8 Turbo text-to-speech. Billed per input character; each Chinese (Han) character counts as 2.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.