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.

MiniMax M2MiniMax Remove
GPT-6 LunaOpenAI Remove
Perceptron Mk1.5Perceptron Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

minimax-m2 vs gpt-6-luna vs perceptron-mk1.5 vs transcribe-1-pro
Attribute	MiniMax M2minimax-m2	GPT-6 Lunagpt-6-luna	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0.15 / 1M	$0.10 / 1M	$0.15 / 1M	— Not priced per input token
Output	$0.45 / 1M	$0.50 / 1M	$1.50 / 1M	— Not priced per output token
Cache Write (5m)	$0.15 / 1M	$0.10 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	$0.10 / 1M	$0.15 / 1M	Not applicable
Cache Read	$0.15 / 1M	$0.10 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	196.6K	1.1M	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	MiniMax	OpenAI	Perceptron	Fish Audio
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25	2026-09-24
Description
Summary	MiniMax-M2 is a compact, high-efficiency model with 10B active (230B total) parameters, optimized for coding and agentic workflows. It delivers near-frontier reasoning and tool use, excels at multi-file coding tasks and compile-run-fix loops, and performs strongly on benchmarks like SWE-Bench and Terminal-Bench. It also handles long-horizon planning and recovery in agent evaluations, ranking among the top open models across reasoning domains. With fast inference and low cost, it’s ideal for large-scale agents and developer assistants — and works best when reasoning is preserved across turns.	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 Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.