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
Perceptron Mk1.5Perceptron Remove
Claude Sonnet 5.5Anthropic Remove
MiMo-V2-OmniXiaomi Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs perceptron-mk1.5 vs claude-sonnet-5.5 vs mimo-v2-omni
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5	Claude Sonnet 5.5claude-sonnet-5.5	MiMo-V2-Omnimimo-v2-omni
Pricing
Input	— Not priced per input token	$0.15 / 1M	$2.00 / 1M	$0.40 / 1M
Output	— Not priced per output token	$1.50 / 1M	$10.00 / 1M	$2.00 / 1M
Cache Write (5m)	Not applicable	$0.15 / 1M	$2.50 / 1M	$0.40 / 1M
Cache Write (1h)	Not applicable	$0.15 / 1M	$4.00 / 1M	$0.40 / 1M
Cache Read	Not applicable	$0.15 / 1M	$0.20 / 1M	$0.40 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	36.9K	1M	262.1K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	No	No	Yes	Yes
Streaming	No	Yes	Yes	Yes
Catalogue
Provider	Google	Perceptron	Anthropic	Xiaomi
Category	voice	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-09-25	—	—
Description
Summary	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.	Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.	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.