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.

Perceptron Mk1.5Perceptron Remove
GPT-6.1 SolOpenAI Remove
Gemini 3.5 TranscribeGoogle Remove
MiMo-V2-OmniXiaomi Remove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6.1-sol vs gemini-3.5-transcribe vs mimo-v2-omni
Attribute	Perceptron Mk1.5perceptron-mk1.5	GPT-6.1 Solgpt-6.1-sol	Gemini 3.5 Transcribegemini-3.5-transcribe	MiMo-V2-Omnimimo-v2-omni
Pricing
Input	$0.15 / 1M	$2.00 / 1M	— Not priced per input token	$0.40 / 1M
Output	$1.50 / 1M	$10.00 / 1M	— Not priced per output token	$2.00 / 1M
Cache Write (5m)	$0.15 / 1M	$2.00 / 1M	Not applicable	$0.40 / 1M
Cache Write (1h)	$0.15 / 1M	$2.00 / 1M	Not applicable	$0.40 / 1M
Cache Read	$0.15 / 1M	$2.00 / 1M	Not applicable	$0.40 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1M	98.3K	262.1K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	Yes
Function Calling	No	Yes	Yes	Yes
JSON Mode	No	Yes	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Perceptron	OpenAI	Google	Xiaomi
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	—	2026-09-25	—
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	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.	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.