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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. MAI-Transcribe 2MicrosoftRemove
  2. GPT-6 LunaOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. S2 ProFish AudioRemove

4 is the maximum. Remove one to add another.

mai-transcribe-2 vs gpt-6-luna vs perceptron-mk1.5 vs s2-pro
AttributeMAI-Transcribe 2mai-transcribe-2GPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5S2 Pros2-pro
Pricing
Input$0 / 1M$0.10 / 1M$0.15 / 1M$0 / 1M
Output$0 / 1M$0.50 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)Not applicable$0.10 / 1M$0.15 / 1MNot applicable
Cache Write (1h)Not applicable$0.10 / 1M$0.15 / 1MNot applicable
Cache ReadNot applicable$0.10 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesYesNo
Catalogue
ProviderMicrosoftOpenAIPerceptronFish Audio
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-03—2026-09-252026-07-29
Description
SummaryMicrosoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.