Skip to content

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. Aura-2DeepgramRemove
  2. S1Fish AudioRemove
  3. GPT-6 LunaOpenAIRemove
  4. GPT-6 Sol ProOpenAIRemove

4 is the maximum. Remove one to add another.

aura-2 vs s1 vs gpt-6-luna vs gpt-6-sol-pro
AttributeAura-2aura-2S1s1GPT-6 Lunagpt-6-lunaGPT-6 Sol Progpt-6-sol-pro
Pricing
Input$0 / 1M$0 / 1M$0.10 / 1M$2.00 / 1M
Output$0 / 1M$0 / 1M$0.50 / 1M$10.00 / 1M
Cache Write (5m)Not applicableNot applicable$0.10 / 1M$2.00 / 1M
Cache Write (1h)Not applicableNot applicable$0.10 / 1M$2.00 / 1M
Cache ReadNot applicableNot applicable$0.10 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1.1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingNoNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderDeepgramFish AudioOpenAIOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-162026-07-29——
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.