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.

4 is the maximum. Remove one to add another.

gpt-6-sol-pro vs qwen3-asr-1.7b vs s1 vs gemini-3.5-transcribe
Attribute	GPT-6 Sol Progpt-6-sol-pro	Qwen3 ASR 1.7Bqwen3-asr-1.7b	S1s1	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$2.00 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Output	$10.00 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Cache Write (5m)	$2.00 / 1M	Not applicable	Not applicable	Not applicable
Cache Write (1h)	$2.00 / 1M	Not applicable	Not applicable	Not applicable
Cache Read	$2.00 / 1M	Not applicable	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	N/A	N/A	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	Yes
Function Calling	Yes	No	No	Yes
JSON Mode	Yes	No	No	No
Streaming	Yes	No	No	No
Catalogue
Provider	OpenAI	Qwen	Fish Audio	Google
Category	chat	voice	voice	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-08-13	2026-07-29	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.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.	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.