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
Claude Sonnet 5.5Anthropic Remove
Aura-2Deepgram Remove
Qwen3 ASR 0.6BQwen Remove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs claude-sonnet-5.5 vs aura-2 vs qwen3-asr-0.6b
Attribute	Muse Spark 1.3muse-spark-1.3	Claude Sonnet 5.5claude-sonnet-5.5	Aura-2aura-2	Qwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input	$1.25 / 1M	$2.00 / 1M	$0 / 1M	$0 / 1M
Output	$4.25 / 1M	$10.00 / 1M	$0 / 1M	$0 / 1M
Cache Write (5m)	$1.25 / 1M	$2.50 / 1M	Not applicable	Not applicable
Cache Write (1h)	$1.25 / 1M	$4.00 / 1M	Not applicable	Not applicable
Cache Read	$1.25 / 1M	$0.20 / 1M	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	N/A	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	No	No
Catalogue
Provider	Meta	Anthropic	Deepgram	Qwen
Category	chat	chat	voice	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-07-16	2026-08-13
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.	Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.	Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.	Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.