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.

Gemini 3.5 TranscribeGoogle Remove
Muse Spark 1.3Meta Remove
Perceptron Mk1.5Perceptron Remove
Qwen3 ASR 1.7BQwen Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs muse-spark-1.3 vs perceptron-mk1.5 vs qwen3-asr-1.7b
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Muse Spark 1.3muse-spark-1.3	Perceptron Mk1.5perceptron-mk1.5	Qwen3 ASR 1.7Bqwen3-asr-1.7b
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	98.3K	1M	36.9K	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	No	Yes	No	No
Streaming	No	Yes	Yes	No
Catalogue
Provider	Google	Meta	Perceptron	Qwen
Category	voice	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	—	2026-09-25	2026-08-13
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.