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.

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

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs mimo-v2-pro vs transcribe-1-pro vs perceptron-mk1.5
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	MiMo-V2-Promimo-v2-pro	Transcribe 1 Protranscribe-1-pro	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	— Not priced per input token	$1.00 / 1M	— Not priced per input token	$0.15 / 1M
Output	— Not priced per output token	$3.00 / 1M	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	Not applicable	$1.00 / 1M	Not applicable	$0.15 / 1M
Cache Write (1h)	Not applicable	$1.00 / 1M	Not applicable	$0.15 / 1M
Cache Read	Not applicable	$1.00 / 1M	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	1.0M	N/A	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	No	Yes	No	No
Streaming	No	Yes	No	Yes
Catalogue
Provider	Google	Xiaomi	Fish Audio	Perceptron
Category	voice	chat	voice	chat
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	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.