Qwen3.8 Omni Flash is cheaper than GPT-6 Astra Pro at $0.15/M vs $10/M input tokens.
Rhythm game in a browser tab. The theme is the model's problem.
Which answer wins?
Not enough votes to call it. On the specs, GPT-6 Astra Pro has the edge: bigger model tier, major provider backing. Qwen3.8 Omni Flash costs 106x less per token.
| Spec | ||
|---|---|---|
| Input price | $10/M tokens | $0.15/M tokens |
| Output price | $50/M tokens | $0.47/M tokens |
| Context window | 1.1M tokens | 1.0M tokens |
| Weights | Closed | Closed |
| Free API (OpenRouter) | No | No |
| Released | Sep 2026 | Sep 2026 |
| At 10M a month | $100 | $1.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 29 Sep 2026.
GPT-6 Astra Pro is developed by OpenAI while Qwen3.8 Omni Flash is developed by Qwen. GPT-6 Astra Pro has a 1.1M token context window vs Qwen3.8 Omni Flash's 1.0M. You can compare their actual outputs across 2 challenges on Rival to see how they differ in practice.
It depends on your use case. GPT-6 Astra Pro and Qwen3.8 Omni Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 2 challenges so you can judge which fits your needs best.
GPT-6 Astra Pro costs $10/M input tokens and Qwen3.8 Omni Flash costs $0.15/M input tokens. Qwen3.8 Omni Flash is $9.85/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 Qwen3.8 Omni 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.