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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.

  1. Nova-3DeepgramRemove
  2. MAI-Transcribe 2MicrosoftRemove
  3. GPT-6 LunaOpenAIRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

nova-3 vs mai-transcribe-2 vs gpt-6-luna vs gpt-6-astra
AttributeNova-3nova-3MAI-Transcribe 2mai-transcribe-2GPT-6 Lunagpt-6-lunaGPT-6 Astragpt-6-astra
Pricing
Input$0 / 1M$0 / 1M$0.10 / 1M$10.00 / 1M
Output$0 / 1M$0 / 1M$0.50 / 1M$50.00 / 1M
Cache Write (5m)Not applicableNot applicable$0.10 / 1M$10.00 / 1M
Cache Write (1h)Not applicableNot applicable$0.10 / 1M$10.00 / 1M
Cache ReadNot applicableNot applicable$0.10 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1.1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderDeepgramMicrosoftOpenAIOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-152026-09-03——
Description
SummaryDeepgram Nova-3 speech-to-text. Billed per second of audio.Microsoft MAI-Transcribe-2 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.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.