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
Gemini 3.5 TranscribeGoogle Remove
Qwen3 ASR 1.7BQwen Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gemini-3.5-transcribe vs qwen3-asr-1.7b vs perceptron-mk1.5
Attribute	Muse Spark 1.3muse-spark-1.3	Gemini 3.5 Transcribegemini-3.5-transcribe	Qwen3 ASR 1.7Bqwen3-asr-1.7b	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$1.25 / 1M	$0 / 1M	$0 / 1M	$0.15 / 1M
Output	$4.25 / 1M	$0 / 1M	$0 / 1M	$1.50 / 1M
Cache Write (5m)	$1.25 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Write (1h)	$1.25 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Read	$1.25 / 1M	Not applicable	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	98.3K	N/A	36.9K
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	No	No	No
Streaming	Yes	No	No	Yes
Catalogue
Provider	Meta	Google	Qwen	Perceptron
Category	chat	voice	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-25	2026-08-13	2026-09-25
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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.