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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. Aura-2DeepgramRemove
  2. GPT-6 LunaOpenAIRemove
  3. Qwen3 ASR 1.7BQwenRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

aura-2 vs gpt-6-luna vs qwen3-asr-1.7b vs gpt-6-sol
AttributeAura-2aura-2GPT-6 Lunagpt-6-lunaQwen3 ASR 1.7Bqwen3-asr-1.7bGPT-6 Solgpt-6-sol
Pricing
Input$0 / 1M$0.10 / 1M$0 / 1M$2.00 / 1M
Output$0 / 1M$0.50 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$0.10 / 1MNot applicable$2.00 / 1M
Cache Write (1h)Not applicable$0.10 / 1MNot applicable$2.00 / 1M
Cache ReadNot applicable$0.10 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1MN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesNoYes
Catalogue
ProviderDeepgramOpenAIQwenOpenAI
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-16—2026-08-13—
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.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.Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications