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.

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

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs minimax-m2 vs gpt-6-sol vs transcribe-1-pro
Attribute	Perceptron Mk1.5perceptron-mk1.5	MiniMax M2minimax-m2	GPT-6 Solgpt-6-sol	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0.15 / 1M	$0.15 / 1M	$2.00 / 1M	— Not priced per input token
Output	$1.50 / 1M	$0.45 / 1M	$10.00 / 1M	— Not priced per output token
Cache Write (5m)	$0.15 / 1M	$0.15 / 1M	$2.00 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	$0.15 / 1M	$2.00 / 1M	Not applicable
Cache Read	$0.15 / 1M	$0.15 / 1M	$2.00 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	196.6K	1.1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	No	Yes	Yes	No
JSON Mode	No	Yes	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	Perceptron	MiniMax	OpenAI	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	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	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 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	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.