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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

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gpt-6-sol-pro vs s1 vs gemini-3.5-transcribe vs perceptron-mk1.5
Attribute	GPT-6 Sol Progpt-6-sol-pro	S1s1	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$2.00 / 1M	$0 / 1M	$0 / 1M	$0.15 / 1M
Output	$10.00 / 1M	$0 / 1M	$0 / 1M	$1.50 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Write (1h)	$2.00 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Read	$2.00 / 1M	Not applicable	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	N/A	98.3K	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	No	No
Streaming	Yes	No	No	Yes
Catalogue
Provider	OpenAI	Fish Audio	Google	Perceptron
Category	chat	voice	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-07-29	2026-09-25	2026-09-25
Description
Summary	GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.