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.

S1Fish Audio Remove
GPT-6 Sol ProOpenAI Remove
Muse Spark 1.3Meta Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

s1 vs gpt-6-sol-pro vs muse-spark-1.3 vs gemini-3.5-transcribe
Attribute	S1s1	GPT-6 Sol Progpt-6-sol-pro	Muse Spark 1.3muse-spark-1.3	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$0 / 1M	$2.00 / 1M	$1.25 / 1M	$0 / 1M
Output	$0 / 1M	$10.00 / 1M	$4.25 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$2.00 / 1M	$1.25 / 1M	Not applicable
Cache Write (1h)	Not applicable	$2.00 / 1M	$1.25 / 1M	Not applicable
Cache Read	Not applicable	$2.00 / 1M	$1.25 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1.1M	1M	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	Yes
Function Calling	No	Yes	Yes	Yes
JSON Mode	No	Yes	Yes	No
Streaming	No	Yes	Yes	No
Catalogue
Provider	Fish Audio	OpenAI	Meta	Google
Category	voice	chat	chat	voice
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
Description
Summary	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	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.	Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.