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.

Qwen3 ASR 1.7BQwen Remove
Muse Spark 1.3Meta Remove
Perceptron Mk1.5Perceptron Remove
MAI-Transcribe 2Microsoft Remove

4 is the maximum. Remove one to add another.

qwen3-asr-1.7b vs muse-spark-1.3 vs perceptron-mk1.5 vs mai-transcribe-2
Attribute	Qwen3 ASR 1.7Bqwen3-asr-1.7b	Muse Spark 1.3muse-spark-1.3	Perceptron Mk1.5perceptron-mk1.5	MAI-Transcribe 2mai-transcribe-2
Pricing
Input	$0 / 1M	$1.25 / 1M	$0.15 / 1M	$0 / 1M
Output	$0 / 1M	$4.25 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$1.25 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	Not applicable	$1.25 / 1M	$0.15 / 1M	Not applicable
Cache Read	Not applicable	$1.25 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1M	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	No	No
Function Calling	No	Yes	No	No
JSON Mode	No	Yes	No	No
Streaming	No	Yes	Yes	No
Catalogue
Provider	Qwen	Meta	Perceptron	Microsoft
Category	voice	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-08-13	—	2026-09-25	2026-09-03
Description
Summary	Qwen3-ASR 1.7B 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.	Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.