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
Perceptron Mk1.5Perceptron Remove
Transcribe 1 ProFish Audio Remove
Muse Spark 1.3Meta Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs perceptron-mk1.5 vs transcribe-1-pro vs muse-spark-1.3
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro	Muse Spark 1.3muse-spark-1.3
Pricing
Input	$0 / 1M	$0.15 / 1M	$0 / 1M	$1.25 / 1M
Output	$0 / 1M	$1.50 / 1M	$0 / 1M	$4.25 / 1M
Cache Write (5m)	Not applicable	$0.15 / 1M	Not applicable	$1.25 / 1M
Cache Write (1h)	Not applicable	$0.15 / 1M	Not applicable	$1.25 / 1M
Cache Read	Not applicable	$0.15 / 1M	Not applicable	$1.25 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	36.9K	N/A	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	Yes
Function Calling	Yes	No	No	Yes
JSON Mode	No	No	No	Yes
Streaming	No	Yes	No	Yes
Catalogue
Provider	Google	Perceptron	Fish Audio	Meta
Category	voice	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-09-25	2026-09-24	—
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	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.