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-OmniXiaomi Remove
Perceptron Mk1.5Perceptron Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs mimo-v2-omni vs perceptron-mk1.5 vs transcribe-1-pro
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	MiMo-V2-Omnimimo-v2-omni	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro
Pricing
Input	— Not priced per input token	$0.40 / 1M	$0.15 / 1M	— Not priced per input token
Output	— Not priced per output token	$2.00 / 1M	$1.50 / 1M	— Not priced per output token
Cache Write (5m)	Not applicable	$0.40 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	Not applicable	$0.40 / 1M	$0.15 / 1M	Not applicable
Cache Read	Not applicable	$0.40 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	262.1K	36.9K	N/A
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	Yes	No
Catalogue
Provider	Google	Xiaomi	Perceptron	Fish Audio
Category	voice	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	—	2026-09-25	2026-09-24
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.