AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

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.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 8

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Gemini 2.0 Flash0.929Not recordedNot recorded2024-12-01 · model_announcementLLM Stats
Gemini 1.5 Pro0.854Not recordedNot recorded2024-05-01 · model_announcementLLM Stats
Gemma 3 27B0.845Not recordedNot recorded2025-03-12 · model_announcementLLM Stats
Gemma 3 12B0.807Not recordedNot recorded2025-03-12 · model_announcementLLM Stats
Gemini 1.5 Flash0.798Not recordedNot recorded2024-05-01 · model_announcementLLM Stats
Gemini 1.5 Flash 8B0.755Not recordedNot recorded2024-03-15 · model_announcementLLM Stats
Gemma 3 4B0.703Not recordedNot recorded2025-03-12 · model_announcementLLM Stats
Gemma 3 1B0.56Not recordedNot recorded2025-03-12 · model_announcementLLM Stats