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.

Nova-3Deepgram Remove
Transcribe 1 ProFish Audio Remove
Muse Spark 1.3Meta Remove
Qwen3 ASR 1.7BQwen Remove

4 is the maximum. Remove one to add another.

nova-3 vs transcribe-1-pro vs muse-spark-1.3 vs qwen3-asr-1.7b
Attribute	Nova-3nova-3	Transcribe 1 Protranscribe-1-pro	Muse Spark 1.3muse-spark-1.3	Qwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input	$0 / 1M	$0 / 1M	$1.25 / 1M	$0 / 1M
Output	$0 / 1M	$0 / 1M	$4.25 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	Not applicable	$1.25 / 1M	Not applicable
Cache Write (1h)	Not applicable	Not applicable	$1.25 / 1M	Not applicable
Cache Read	Not applicable	Not applicable	$1.25 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	N/A	1M	N/A
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	No
Catalogue
Provider	Deepgram	Fish Audio	Meta	Qwen
Category	voice	voice	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-15	2026-09-24	—	2026-08-13
Description
Summary	Deepgram Nova-3 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.	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.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.