Qwen3.7 Flash is cheaper than GPT-6 Astra Pro at $0.03/M vs $10/M input tokens.
Pokémon battle screen you can actually click. One HTML file.
Which answer wins?
Not enough votes to call it. On the specs, GPT-6 Astra Pro has the edge: bigger model tier, newer, major provider backing. Qwen3.7 Flash costs 385x less per token.
| Spec | ||
|---|---|---|
| Input price | $10/M tokens | $0.03/M tokens |
| Output price | $50/M tokens | $0.13/M tokens |
| Context window | 1.1M tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Jul 2026 |
| At 10M a month | $100 | $0.30 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 11 Oct 2026.
GPT-6 Astra Pro is developed by OpenAI while Qwen3.7 Flash is developed by Qwen. GPT-6 Astra Pro has a 1.1M token context window vs Qwen3.7 Flash's 1.0M. You can compare their actual outputs across 6 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-6 Astra Pro and Qwen3.7 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 6 challenges so you can judge which fits your needs best.
GPT-6 Astra Pro costs $10/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $9.97/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of GPT-6 Astra Pro and Qwen3.7 Flash across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.