Quasar Alpha has a larger context window than DeepSeek Prover V2 (1.0M tokens vs 164K tokens).
Hex grid you can resize with a slider. Geometry plus state.
Which answer wins?
Not enough votes to call it. On the specs, DeepSeek Prover V2 has the edge: bigger model tier, major provider backing.
| Spec | ||
|---|---|---|
| Input price | Free | — |
| Output price | Free | — |
| Context window | 164K tokens | 1.0M tokens |
| Parameters | 671B | Not disclosed |
| Weights | Open | — |
| Free API (OpenRouter) | No | — |
| Released | Apr 2025 | Apr 2025 |
| At 10M a month | $0 | not listed |
Input tokens at list price. No caching, no batch discount.
DeepSeek Prover V2 is developed by DeepSeek while Quasar Alpha is developed by OpenRouter. DeepSeek Prover V2 has a 164K 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. DeepSeek Prover V2 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 DeepSeek Prover V2 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.