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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. MiMo-V2-ProXiaomiRemove
  3. GPT-6 LunaOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

transcribe-1-pro vs mimo-v2-pro vs gpt-6-luna vs perceptron-mk1.5
AttributeTranscribe 1 Protranscribe-1-proMiMo-V2-Promimo-v2-proGPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5
Pricing
Input— Not priced per input token$1.00 / 1M$0.10 / 1M$0.15 / 1M
Output— Not priced per output token$3.00 / 1M$0.50 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$1.00 / 1M$0.10 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$1.00 / 1M$0.10 / 1M$0.15 / 1M
Cache ReadNot applicable$1.00 / 1M$0.10 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.0M1.1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesNo
JSON ModeNoYesYesNo
StreamingNoYesYesYes
Catalogue
ProviderFish AudioXiaomiOpenAIPerceptron
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-24——2026-09-25
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.MiMo-V2-Pro is Xiaomi's flagship foundation model with over 1T parameters and a 1M-token context window, optimized for advanced agentic workflows. It is highly adaptable to general agent frameworks such as OpenClaw, delivering strong performance in complex, real-world task execution. Ranking among the top tier on benchmarks like PinchBench and ClawBench, with performance approaching models like Opus 4.6, MiMo-V2-Pro is designed to act as the core intelligence of agent systems, orchestrating workflows, driving production engineering tasks, and delivering reliable results at scale.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.