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
Transcribe 1 ProFish Audio Remove
Gemini 3.5 TranscribeGoogle Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

minimax-m2 vs transcribe-1-pro vs gemini-3.5-transcribe vs perceptron-mk1.5
Attribute	MiniMax M2minimax-m2	Transcribe 1 Protranscribe-1-pro	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0.15 / 1M	— Not priced per input token	— Not priced per input token	$0.15 / 1M
Output	$0.45 / 1M	— Not priced per output token	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	$0.15 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Write (1h)	$0.15 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Read	$0.15 / 1M	Not applicable	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	196.6K	N/A	98.3K	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	No	Yes	No
JSON Mode	Yes	No	No	No
Streaming	Yes	No	No	Yes
Catalogue
Provider	MiniMax	Fish Audio	Google	Perceptron
Category	chat	voice	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-24	2026-09-25	2026-09-25
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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.