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

4 is the maximum. Remove one to add another.

mimo-v2-omni vs perceptron-mk1.5 vs gemini-3.5-transcribe vs transcribe-1-pro
Attribute	MiMo-V2-Omnimimo-v2-omni	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Transcribegemini-3.5-transcribe	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0.40 / 1M	$0.15 / 1M	— Not priced per input token	— Not priced per input token
Output	$2.00 / 1M	$1.50 / 1M	— Not priced per output token	— Not priced per output token
Cache Write (5m)	$0.40 / 1M	$0.15 / 1M	Not applicable	Not applicable
Cache Write (1h)	$0.40 / 1M	$0.15 / 1M	Not applicable	Not applicable
Cache Read	$0.40 / 1M	$0.15 / 1M	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262.1K	36.9K	98.3K	N/A
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	Yes	No	No
Catalogue
Provider	Xiaomi	Perceptron	Google	Fish Audio
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	2026-09-25	2026-09-24
Description
Summary	MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with advanced agentic capabilities, including visual grounding, multi-step planning, tool use, and code execution. With a 256K context window, MiMo-V2-Omni is well suited for complex real-world tasks that span multiple modalities, enabling integrated reasoning and execution across diverse input types.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output 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.