Codeforces
Competitive programming rating on Codeforces-style problems. Scores are Elo-style ratings, not percentages. DeepSeek V4.1 Flash launch materials report max-reasoning-effort ratings.
Models ranked
4
tracked on this benchmark
Score band
3471.0 – 1429.0
best → lowest tracked
Snapshot trend
-262.00
Oct 6 → Oct 19 · 1 models
Leaderboard
Tracked models ranked by Rating (higher is better).
Configuration: DiffusionGemma 26B A4B IT (Entropy-Bounded sampler)
Notes: Google HF model card evaluation table (instruction-tuned model, recommended Entropy-Bounded sampler; column 'DiffusionGemma 26B A4B'). Row 'Codeforces ELO'. Retrieved 2026-10-19.
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
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Last reviewed: Sep 10, 2026