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
Transcribe 1 ProFish Audio Remove
GPT-6 AstraOpenAI Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs transcribe-1-pro vs gpt-6-astra vs perceptron-mk1.5
Attribute	Muse Spark 1.3muse-spark-1.3	Transcribe 1 Protranscribe-1-pro	GPT-6 Astragpt-6-astra	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$1.25 / 1M	$0 / 1M	$10.00 / 1M	$0.15 / 1M
Output	$4.25 / 1M	$0 / 1M	$50.00 / 1M	$1.50 / 1M
Cache Write (5m)	$1.25 / 1M	Not applicable	$10.00 / 1M	$0.15 / 1M
Cache Write (1h)	$1.25 / 1M	Not applicable	$10.00 / 1M	$0.15 / 1M
Cache Read	$1.25 / 1M	Not applicable	$10.00 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	No	Yes	No
JSON Mode	Yes	No	Yes	No
Streaming	Yes	No	Yes	Yes
Catalogue
Provider	Meta	Fish Audio	OpenAI	Perceptron
Category	chat	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-24	—	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.