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.

MiMo-V2-ProXiaomi Remove
Perceptron Mk1.5Perceptron Remove
Transcribe 1 ProFish Audio Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

mimo-v2-pro vs perceptron-mk1.5 vs transcribe-1-pro vs gemini-3.5-transcribe
Attribute	MiMo-V2-Promimo-v2-pro	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$1.00 / 1M	$0.15 / 1M	— Not priced per input token	— Not priced per input token
Output	$3.00 / 1M	$1.50 / 1M	— Not priced per output token	— Not priced per output token
Cache Write (5m)	$1.00 / 1M	$0.15 / 1M	Not applicable	Not applicable
Cache Write (1h)	$1.00 / 1M	$0.15 / 1M	Not applicable	Not applicable
Cache Read	$1.00 / 1M	$0.15 / 1M	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.0M	36.9K	N/A	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	Yes
Function Calling	Yes	No	No	Yes
JSON Mode	Yes	No	No	No
Streaming	Yes	Yes	No	No
Catalogue
Provider	Xiaomi	Perceptron	Fish Audio	Google
Category	chat	chat	voice	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	2026-09-25
Description
Summary	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.	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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.