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.

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

4 is the maximum. Remove one to add another.

transcribe-1 vs gpt-6-luna vs perceptron-mk1.5 vs transcribe-1-pro
Attribute	Transcribe 1transcribe-1	GPT-6 Lunagpt-6-luna	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$0 / 1M	$0.10 / 1M	$0.15 / 1M	$0 / 1M
Output	$0 / 1M	$0.50 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$0.10 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	Not applicable	$0.10 / 1M	$0.15 / 1M	Not applicable
Cache Read	Not applicable	$0.10 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1.1M	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	No	No
Function Calling	No	Yes	No	No
JSON Mode	No	Yes	No	No
Streaming	No	Yes	Yes	No
Catalogue
Provider	Fish Audio	OpenAI	Perceptron	Fish Audio
Category	voice	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-29	—	2026-09-25	2026-09-24
Description
Summary	Fish Audio Transcribe 1 speech-to-text. Billed per second of audio.	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.	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.