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
Transcribe 1 ProFish Audio Remove
GPT-6.1 SolOpenAI Remove

4 is the maximum. Remove one to add another.

mimo-v2-omni vs perceptron-mk1.5 vs transcribe-1-pro vs gpt-6.1-sol
Attribute	MiMo-V2-Omnimimo-v2-omni	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro	GPT-6.1 Solgpt-6.1-sol
Pricing
Input	$0.40 / 1M	$0.15 / 1M	— Not priced per input token	$2.00 / 1M
Output	$2.00 / 1M	$1.50 / 1M	— Not priced per output token	$10.00 / 1M
Cache Write (5m)	$0.40 / 1M	$0.15 / 1M	Not applicable	$2.00 / 1M
Cache Write (1h)	$0.40 / 1M	$0.15 / 1M	Not applicable	$2.00 / 1M
Cache Read	$0.40 / 1M	$0.15 / 1M	Not applicable	$2.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	262.1K	36.9K	N/A	1M
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	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Xiaomi	Perceptron	Fish Audio	OpenAI
Category	chat	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	—
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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.