reasoning benchmark
NaturalCodeBench (NCB) is a challenging code benchmark designed to mirror the complexity and variety of real-world coding tasks. It comprises 402 high-quality problems in Python and Java, selected from natural user queries from online coding services, covering 6 different domains.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | GO | 92.9% | 100.0% | 8 | C | |
| 2 | GO | 85.4% | 85.7% | 8 | C | |
| 3 | GO | 84.5% | 71.4% | 8 | C | |
| 4 | GO | 80.7% | 57.1% | 8 | C | |
| 5 | GO | 79.8% | 42.9% | 8 | C | |
| 6 | GO | 75.5% | 28.6% | 8 | C | |
| 7 | GO | 70.3% | 14.3% | 8 | C | |
| 8 | GO | 56.0% | 0.0% | 8 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
NaturalCodeBench (NCB) is a challenging code benchmark designed to mirror the complexity and variety of real-world coding tasks. It comprises 402 high-quality problems in Python and Java, selected from natural user queries from online coding services, covering 6 different domains.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about Natural2Code.
Gemini 2.0 Flash is currently ranked first with 92.9%.
NaturalCodeBench (NCB) is a challenging code benchmark designed to mirror the complexity and variety of real-world coding tasks. It comprises 402 high-quality problems in Python and Java, selected from natural user queries from online coding services, covering 6 different domains.
Yes. Higher values rank better for this benchmark.
8 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.