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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. GPT-6 LunaOpenAIRemove
  2. S1Fish AudioRemove
  3. Qwen3 ASR 1.7BQwenRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs s1 vs qwen3-asr-1.7b vs gpt-6-astra
AttributeGPT-6 Lunagpt-6-lunaS1s1Qwen3 ASR 1.7Bqwen3-asr-1.7bGPT-6 Astragpt-6-astra
Pricing
Input$0.10 / 1M$0 / 1M$0 / 1M$10.00 / 1M
Output$0.50 / 1M$0 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$0.10 / 1MNot applicableNot applicable$10.00 / 1M
Cache Write (1h)$0.10 / 1MNot applicableNot applicable$10.00 / 1M
Cache Read$0.10 / 1MNot applicableNot applicable$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1MN/AN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderOpenAIFish AudioQwenOpenAI
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-292026-08-13—
Description
SummaryGPT-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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.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.