Quasar Alpha has a larger context window than Mistral Small 4 (1.0M tokens vs 262K tokens).
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Not enough votes to call it. On the specs, Quasar Alpha has the edge: bigger model tier, bigger context window.
| Spec | ||
|---|---|---|
| Input price | $0.15/M tokens | — |
| Output price | $0.6/M tokens | — |
| Context window | 262K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | — |
| Released | Mar 2026 | Apr 2025 |
| At 10M a month | $1.50 | 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 10 Oct 2026.
Mistral Small 4 is developed by Mistral AI while Quasar Alpha is developed by OpenRouter. Mistral Small 4 has a 262K token context window vs Quasar Alpha'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. Mistral Small 4 and Quasar Alpha 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.
This page shows a side-by-side comparison of Mistral Small 4 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.