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reasoning benchmark

Natural2Code

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

Published models8
Registry coverage8
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

Natural2Code leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

8 rows
Columns

Show columns

1GOGemini 2.0 FlashGoogle92.9%100.0%8CAug 7, 2026
2GOGemini 1.5 ProGoogle85.4%85.7%8CAug 7, 2026
3GOGemma 3 27BGoogle84.5%71.4%8CAug 7, 2026
4GOGemma 3 12BGoogle80.7%57.1%8CAug 7, 2026
5GOGemini 1.5 FlashGoogle79.8%42.9%8CAug 7, 2026
6GOGemini 1.5 Flash 8BGoogle75.5%28.6%8CAug 7, 2026
7GOGemma 3 4BGoogle70.3%14.3%8CAug 7, 2026
8GOGemma 3 1BGoogle56.0%0.0%8CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

Natural2Code

Natural2Code highlights

The top published results on this benchmark's own scale.

Rank #1Gemini 2.0 Flash92.9%Rank #2Gemini 1.5 Pro85.4%Rank #3Gemma 3 27B84.5%Rank #4Gemma 3 12B80.7%

What is Natural2Code?

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.

Family
Natural2Code
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
natural2code|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about Natural2Code.

Which model scores highest on Natural2Code?

Gemini 2.0 Flash is currently ranked first with 92.9%.

What does Natural2Code measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

8 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
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