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

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs perceptron-mk1.5 vs mimo-v2-flash vs transcribe-1-pro
Attribute	GPT-6.1 Solgpt-6.1-sol	Perceptron Mk1.5perceptron-mk1.5	MiMo-V2-Flashmimo-v2-flash	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$2.00 / 1M	$0.15 / 1M	$0.09 / 1M	— Not priced per input token
Output	$10.00 / 1M	$1.50 / 1M	$0.29 / 1M	— Not priced per output token
Cache Write (5m)	$2.00 / 1M	$0.15 / 1M	$0.09 / 1M	Not applicable
Cache Write (1h)	$2.00 / 1M	$0.15 / 1M	$0.09 / 1M	Not applicable
Cache Read	$2.00 / 1M	$0.15 / 1M	$0.09 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	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-6.1 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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	MiMo-V2-Flash is an open-source Mixture-of-Experts (MoE) foundation model developed by Xiaomi, featuring 309B total parameters with 15B activated per token and a hybrid attention architecture. It supports a 256K context window and a hybrid thinking mode toggle, enabling flexible trade-offs between speed and reasoning depth. The model excels in reasoning, coding, and agentic workflows, ranking #1 globally among open-source models on benchmarks such as SWE-bench Verified and SWE-bench Multilingual. With performance comparable to leading proprietary models like Claude Sonnet 4.5 at a fraction of the cost, MiMo-V2-Flash is well suited for efficient, high-performance deployments.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.