CF-Div2-Stepfun
Models solve 53 Codeforces Div. 2 problems from September 2024 to February 2025. An offline judge with rebuilt test cases scores C++, Python and Java submissions.
StepFun reports avg@8 accuracy per language and an estimated Codeforces rating. The judge flags 92.45% of known failed submissions.
- Made by
- StepFun
- Released
- February 2026
- Kind
- Competitive programming
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- All public
- Strongest model tested
-
Gemini 3 Pro #55 on the capability index
- Last in a system card
- February 2026
- Last model added
- February 2026
- Scores refreshed
- November 12th, 2026
Step 3.5 Flash leads with 86.1% among models released by February 2026
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
The newest model with a score here came out in February 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1
Step 3.5 Flash C++; avg@8 86.1%
- 2
Gemini 3 Pro C++; avg@8 83.5%
- 3
DeepSeek-V3.2 C++; avg@8 81.6%
- 4 GLM-4.7 C++; avg@8 74.1%
- 5 Claude Opus 4.5 C++; avg@8 72.2%
- 6 Kimi K2 Thinking C++; avg@8 67.9%
- 7
MiniMax-M2.1 C++; avg@8 59%
- 8 MiMo-V2-Flash C++; avg@8 46.9%
Source: Official CF-Div2-Stepfun leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 86.1% | C++; avg@8 | Feb 2026 | Official leaderboard |
| 2 | | 83.5% | C++; avg@8 | Nov 2025 | Official leaderboard |
| 3 | | 81.6% | C++; avg@8 | Dec 2025 | Official leaderboard |
| 4 | GLM-4.7 | 74.1% | C++; avg@8 | Dec 2025 | Official leaderboard |
| 5 | Claude Opus 4.5 | 72.2% | C++; avg@8 | Nov 2025 | Official leaderboard |
| 6 | Kimi K2 Thinking | 67.9% | C++; avg@8 | Nov 2025 | Official leaderboard |
| 7 | | 59% | C++; avg@8 | Dec 2025 | Official leaderboard |
| 8 | MiMo-V2-Flash | 46.9% | C++; avg@8 | Dec 2025 | Official leaderboard |
Labs report scores for 1 model in their cards. We plot every source in the charts below.
2 models have held number one on the official leaderboard since its release in February 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official CF-Div2-Stepfun leaderboard
Step 3.5 Flash on the official leaderboard passed 85% in February 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official CF-Div2-Stepfun leaderboard and labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Feb 11, 2026 | | 86.1 | CF-Div2-Stepfun-cpp, avg@8 (Tables 5 and 15). PaCoRe 93.3. Python 81.5, Java 77.1, estimated Codeforces C++ pass@8 rating 2489 (Table 15) | Capabilities |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 86.1% CF-Div2-Stepfun-cpp, avg@8 (Tables 5 and 15). PaCoRe 93.3. Python 81.5, Java 77.1, estimated Codeforces C++ pass@8 rating 2489 (Table 15) | 86.1% Leaderboard, C++; avg@8 | Same |
More in Coding
- SWE-bench Verified In use 500 human-validated GitHub issues from 12 Python repos. Agent writes a patch that must pass hidden tests. Claude Opus 4.7 83.5%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Fable 5.2 96.6%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471