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
Gemini 3.5 TranscribeGoogle Remove
Nova-3Deepgram Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

gpt-6-luna vs gemini-3.5-transcribe vs nova-3 vs perceptron-mk1.5
Attribute	GPT-6 Lunagpt-6-luna	Gemini 3.5 Transcribegemini-3.5-transcribe	Nova-3nova-3	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0.10 / 1M	$0 / 1M	$0 / 1M	$0.15 / 1M
Output	$0.50 / 1M	$0 / 1M	$0 / 1M	$1.50 / 1M
Cache Write (5m)	$0.10 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Write (1h)	$0.10 / 1M	Not applicable	Not applicable	$0.15 / 1M
Cache Read	$0.10 / 1M	Not applicable	Not applicable	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1.1M	98.3K	N/A	36.9K
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	No	No	No
Streaming	Yes	No	No	Yes
Catalogue
Provider	OpenAI	Google	Deepgram	Perceptron
Category	chat	voice	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-25	2026-07-15	2026-09-25
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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Deepgram Nova-3 speech-to-text. Billed per second of audio.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.