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
Muse Spark 1.3Meta Remove
MAI-Transcribe 2Microsoft Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

s1 vs muse-spark-1.3 vs mai-transcribe-2 vs transcribe-1-pro
Attribute	S1s1	Muse Spark 1.3muse-spark-1.3	MAI-Transcribe 2mai-transcribe-2	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0 / 1M	$1.25 / 1M	$0 / 1M	$0 / 1M
Output	$0 / 1M	$4.25 / 1M	$0 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$1.25 / 1M	Not applicable	Not applicable
Cache Write (1h)	Not applicable	$1.25 / 1M	Not applicable	Not applicable
Cache Read	Not applicable	$1.25 / 1M	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1M	N/A	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	No	No
Function Calling	No	Yes	No	No
JSON Mode	No	Yes	No	No
Streaming	No	Yes	No	No
Catalogue
Provider	Fish Audio	Meta	Microsoft	Fish Audio
Category	voice	chat	voice	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-29	—	2026-09-03	2026-09-24
Description
Summary	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	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.	Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.