activeCodingAgents
NL2Repo-Bench
Metric: Score (higher is better)Introduced: 2026
Natural-language-to-repository benchmark measuring agentic ability to scaffold and implement full repositories from specifications. DeepSeek reports scores with DeepSeek Harness Minimal mode and a 1M-token context window.
Models ranked
1
tracked on this benchmark
Score band
65.4 – 65.4
best → lowest tracked
Snapshot trend
—
need ≥2 snapshots
Leaderboard
Tracked models ranked by Score (higher is better).
#Model variant and provenanceRelative to leaderScore
1
DeepSeek V4.1 Flash
65.4Version: NL2Repo-Bench Score; DeepSeek Harness Minimal mode; 1M contextHarness: Not recordedEvaluator: Not recordedObserved: Sep 10, 2026Confidence: Not recordedSource
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.
Related benchmarks
Last reviewed: Sep 10, 2026