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
Hy3Tencent Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs transcribe-1-pro vs hy3 vs perceptron-mk1.5
Attribute	GPT-6.1 Solgpt-6.1-sol	Transcribe 1 Protranscribe-1-pro	Hy3hy3	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$2.00 / 1M	— Not priced per input token	$0.14 / 1M	$0.15 / 1M
Output	$10.00 / 1M	— Not priced per output token	$0.58 / 1M	$1.50 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	$0.14 / 1M	$0.15 / 1M
Cache Write (1h)	$2.00 / 1M	Not applicable	$0.14 / 1M	$0.15 / 1M
Cache Read	$2.00 / 1M	Not applicable	$0.14 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	262K	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	Tencent	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.	Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.