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

4 is the maximum. Remove one to add another.

gpt-6-sol vs mimo-v2-omni vs transcribe-1-pro vs perceptron-mk1.5
Attribute	GPT-6 Solgpt-6-sol	MiMo-V2-Omnimimo-v2-omni	Transcribe 1 Protranscribe-1-pro	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$2.00 / 1M	$0.40 / 1M	— Not priced per input token	$0.15 / 1M
Output	$10.00 / 1M	$2.00 / 1M	— Not priced per output token	$1.50 / 1M
Cache Write (5m)	$2.00 / 1M	$0.40 / 1M	Not applicable	$0.15 / 1M
Cache Write (1h)	$2.00 / 1M	$0.40 / 1M	Not applicable	$0.15 / 1M
Cache Read	$2.00 / 1M	$0.40 / 1M	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	262.1K	N/A	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	OpenAI	Xiaomi	Fish Audio	Perceptron
Category	chat	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-24	2026-09-25
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	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.