DSBench (DeepSeek internal)
DeepSeek internal coding-agent test sets: full-stack development tasks and hard agentic coding problems. Pass-rate scoring.
Lab-created in-house eval (DeepSeek). Unrelated to the 2024 public DSBench data-science benchmark.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Code A program or patch run against tests.
DeepSeek V4 Pro 0813 leads with 71.1% among models released by Aug 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Aug 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1
DeepSeek V4 Pro 0813 71.1%
- 2
DeepSeek V4 Flash 0731 68.7%
- 3
DeepSeek-V4-Flash-Vision-Exp 63.6%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 71.1% | Aug 2026 | Model card | |
| 2 | | 68.7% | Jul 2026 | Model card | |
| 3 | | 63.6% | Aug 2026 | Model card |
2 models have held number one since its release in Aug 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
One lab put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 21 Aug 2026 | 63.6 | DSBench-Hard (in-house) | |
| 13 Aug 2026 | 67.2 | DSBench-Hard (in-house) | |
| 13 Aug 2026 | 71.1 | DSBench-FullStack (in-house) | |
| 31 Jul 2026 | 59.6 | DSBench-Hard (in-house) | |
| 31 Jul 2026 | 68.7 | DSBench-FullStack (in-house) |
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%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Opus 5.5 93.9%
- 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%
- 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