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.

GPT-6 SolOpenAI Remove
Perceptron Mk1.5Perceptron Remove
MiMo-V2-OmniXiaomi Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

gpt-6-sol vs perceptron-mk1.5 vs mimo-v2-omni vs transcribe-1-pro
Attribute	GPT-6 Solgpt-6-sol	Perceptron Mk1.5perceptron-mk1.5	MiMo-V2-Omnimimo-v2-omni	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$2.00 / 1M	$0.15 / 1M	$0.40 / 1M	— Not priced per input token
Output	$10.00 / 1M	$1.50 / 1M	$2.00 / 1M	— Not priced per output token
Cache Write (5m)	$2.00 / 1M	$0.15 / 1M	$0.40 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$0.15 / 1M	$0.40 / 1M	Not applicable
Cache Read	$2.00 / 1M	$0.15 / 1M	$0.40 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	36.9K	262.1K	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	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	OpenAI	Perceptron	Xiaomi	Fish Audio
Category	chat	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	—	2026-09-24
Description
Summary	GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.