AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

BigCodeBench

A benchmark that challenges LLMs to invoke multiple function calls as tools from 139 libraries and 7 domains for 1,140 fine-grained programming tasks. Evaluates code generation with diverse function calls and complex instructions, featuring two variants: Complete (code completion based on comprehensive docstrings) and Instruct (generating code from natural language instructions).

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 2

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

ModelValueUnitProtocolReported date and basisSource
Gemini Diffusion0.454Not recordedNot recorded2025-05-20 · model_announcementLLM Stats
Qwen2.5-Coder 7B Instruct0.41Not recordedNot recorded2024-09-19 · model_announcementLLM Stats