Quasar Alpha has a larger context window than Mistral Large 2 (1.0M tokens vs 128K tokens).
Hex grid you can resize with a slider. Geometry plus state.
Which answer wins?
Not enough votes to call it. On the specs, Quasar Alpha has the edge: newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $8/M tokens | — |
| Output price | $24/M tokens | — |
| Context window | 128K tokens | 1.0M tokens |
| Parameters | 123B | Not disclosed |
| Weights | Open | — |
| Free API (OpenRouter) | No | — |
| Released | Jul 2024 | Apr 2025 |
| At 10M a month | $80.00 | not listed |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 2 Oct 2026.
Mistral Large 2 is developed by Mistral AI while Quasar Alpha is developed by OpenRouter. Mistral Large 2 has a 128K token context window vs Quasar Alpha's 1.0M. You can compare their actual outputs across 3 challenges on Rival to see how they differ in practice.
It depends on your use case. Mistral Large 2 and Quasar Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 3 challenges so you can judge which fits your needs best.
This page shows a side-by-side comparison of Mistral Large 2 and Quasar Alpha 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.