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.

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

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs muse-spark-1.3 vs gemini-3.5-transcribe vs qwen3-asr-1.7b
Attribute	Perceptron Mk1.5perceptron-mk1.5	Muse Spark 1.3muse-spark-1.3	Gemini 3.5 Transcribegemini-3.5-transcribe	Qwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input	$0.15 / 1M	$1.25 / 1M	$0 / 1M	$0 / 1M
Output	$1.50 / 1M	$4.25 / 1M	$0 / 1M	$0 / 1M
Cache Write (5m)	$0.15 / 1M	$1.25 / 1M	Not applicable	Not applicable
Cache Write (1h)	$0.15 / 1M	$1.25 / 1M	Not applicable	Not applicable
Cache Read	$0.15 / 1M	$1.25 / 1M	Not applicable	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	36.9K	1M	98.3K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	No	Yes	Yes	No
JSON Mode	No	Yes	No	No
Streaming	Yes	Yes	No	No
Catalogue
Provider	Perceptron	Meta	Google	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	2026-09-25	—	2026-09-25	2026-08-13
Description
Summary	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per 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.	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.