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.

Aura-2Deepgram Remove
S2 ProFish Audio Remove
Muse Spark 1.3Meta Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

aura-2 vs s2-pro vs muse-spark-1.3 vs perceptron-mk1.5
Attribute	Aura-2aura-2	S2 Pros2-pro	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	Deepgram	Fish Audio	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	2026-07-16	2026-07-29	—	2026-09-25
Description
Summary	Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.	Fish Audio S2 Pro 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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.