general benchmark
Average evaluation of HumanEval Fill-in-the-Middle benchmark variants (single-line, multi-line, random-span) for assessing code infilling capabilities of language models
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | MA | 91.6% | 100.0% | 1 | C |
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
Average evaluation of HumanEval Fill-in-the-Middle benchmark variants (single-line, multi-line, random-span) for assessing code infilling capabilities of language models
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 HumanEvalFIM-Average.
Codestral-22B is currently ranked first with 91.6%.
Average evaluation of HumanEval Fill-in-the-Middle benchmark variants (single-line, multi-line, random-span) for assessing code infilling capabilities of language models
Yes. Higher values rank better for this benchmark.
1 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.