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

4 is the maximum. Remove one to add another.

gpt-6-luna vs muse-spark-1.3 vs perceptron-mk1.5 vs transcribe-1-pro
Attribute	GPT-6 Lunagpt-6-luna	Muse Spark 1.3muse-spark-1.3	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0.10 / 1M	$1.25 / 1M	$0.15 / 1M	$0 / 1M
Output	$0.50 / 1M	$4.25 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	$0.10 / 1M	$1.25 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	$0.10 / 1M	$1.25 / 1M	$0.15 / 1M	Not applicable
Cache Read	$0.10 / 1M	$1.25 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	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	Yes	Yes	No	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	OpenAI	Meta	Perceptron	Fish Audio
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	2026-09-24
Description
Summary	GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.	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.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.