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.

GPT-6 AstraOpenAI Remove
Perceptron Mk1.5Perceptron Remove
Muse Spark 1.3Meta Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

gpt-6-astra vs perceptron-mk1.5 vs muse-spark-1.3 vs gemini-3.5-transcribe
Attribute	GPT-6 Astragpt-6-astra	Perceptron Mk1.5perceptron-mk1.5	Muse Spark 1.3muse-spark-1.3	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$10.00 / 1M	$0.15 / 1M	$1.25 / 1M	$0 / 1M
Output	$50.00 / 1M	$1.50 / 1M	$4.25 / 1M	$0 / 1M
Cache Write (5m)	$10.00 / 1M	$0.15 / 1M	$1.25 / 1M	Not applicable
Cache Write (1h)	$10.00 / 1M	$0.15 / 1M	$1.25 / 1M	Not applicable
Cache Read	$10.00 / 1M	$0.15 / 1M	$1.25 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	36.9K	1M	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	Yes	No	Yes	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	OpenAI	Perceptron	Meta	Google
Category	chat	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
Description
Summary	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.	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.