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.

Gemini 3.5 TranscribeGoogle Remove
Nova-3Deepgram Remove
GPT-6 LunaOpenAI Remove
Aura-2Deepgram Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs nova-3 vs gpt-6-luna vs aura-2
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Nova-3nova-3	GPT-6 Lunagpt-6-luna	Aura-2aura-2
Pricing
Input	$0 / 1M	$0 / 1M	$0.10 / 1M	$0 / 1M
Output	$0 / 1M	$0 / 1M	$0.50 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	Not applicable	$0.10 / 1M	Not applicable
Cache Write (1h)	Not applicable	Not applicable	$0.10 / 1M	Not applicable
Cache Read	Not applicable	Not applicable	$0.10 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	N/A	1.1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	No	Yes	No
JSON Mode	No	No	Yes	No
Streaming	No	No	Yes	No
Catalogue
Provider	Google	Deepgram	OpenAI	Deepgram
Category	voice	voice	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-07-15	—	2026-07-16
Description
Summary	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.	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.	Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.