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.

s1 vs mai-transcribe-2 vs muse-spark-1.3 vs perceptron-mk1.5
Attribute	S1s1	MAI-Transcribe 2mai-transcribe-2	Muse Spark 1.3muse-spark-1.3	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0 / 1M	$0 / 1M	$1.25 / 1M	$0.15 / 1M
Output	$0 / 1M	$0 / 1M	$4.25 / 1M	$1.50 / 1M
Cache Write (5m)	Not applicable	Not applicable	$1.25 / 1M	$0.15 / 1M
Cache Write (1h)	Not applicable	Not applicable	$1.25 / 1M	$0.15 / 1M
Cache Read	Not applicable	Not applicable	$1.25 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	N/A	1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	No	Yes	No
Function Calling	No	No	Yes	No
JSON Mode	No	No	Yes	No
Streaming	No	No	Yes	Yes
Catalogue
Provider	Fish Audio	Microsoft	Meta	Perceptron
Category	voice	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-29	2026-09-03	—	2026-09-25
Description
Summary	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.