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.

Muse Spark 1.3Meta Remove
Transcribe 1 ProFish Audio Remove
S1Fish Audio Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs transcribe-1-pro vs s1 vs gemini-3.5-transcribe
Attribute	Muse Spark 1.3muse-spark-1.3	Transcribe 1 Protranscribe-1-pro	S1s1	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$1.25 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Output	$4.25 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Cache Write (5m)	$1.25 / 1M	Not applicable	Not applicable	Not applicable
Cache Write (1h)	$1.25 / 1M	Not applicable	Not applicable	Not applicable
Cache Read	$1.25 / 1M	Not applicable	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	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	Meta	Fish Audio	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	—	2026-09-24	2026-07-29	2026-09-25
Description
Summary	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. 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.