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-6.1 SolOpenAI Remove
Transcribe 1 ProFish Audio Remove
MiMo-V2-ProXiaomi Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs transcribe-1-pro vs mimo-v2-pro vs perceptron-mk1.5
Attribute	GPT-6.1 Solgpt-6.1-sol	Transcribe 1 Protranscribe-1-pro	MiMo-V2-Promimo-v2-pro	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$2.00 / 1M	— Not priced per input token	$1.00 / 1M	$0.15 / 1M
Output	$10.00 / 1M	— Not priced per output token	$3.00 / 1M	$1.50 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	$1.00 / 1M	$0.15 / 1M
Cache Write (1h)	$2.00 / 1M	Not applicable	$1.00 / 1M	$0.15 / 1M
Cache Read	$2.00 / 1M	Not applicable	$1.00 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	1.0M	36.9K
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	No	Yes	Yes
Catalogue
Provider	OpenAI	Fish Audio	Xiaomi	Perceptron
Category	chat	voice	chat	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-6.1 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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	MiMo-V2-Pro is Xiaomi's flagship foundation model with over 1T parameters and a 1M-token context window, optimized for advanced agentic workflows. It is highly adaptable to general agent frameworks such as OpenClaw, delivering strong performance in complex, real-world task execution. Ranking among the top tier on benchmarks like PinchBench and ClawBench, with performance approaching models like Opus 4.6, MiMo-V2-Pro is designed to act as the core intelligence of agent systems, orchestrating workflows, driving production engineering tasks, and delivering reliable results at scale.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.