general benchmark
DeepSeek's internal Fill-in-the-Middle evaluation dataset for measuring code completion performance improvements in data science contexts
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | DE | 78.3% | 100.0% | 1 | C |
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
DeepSeek's internal Fill-in-the-Middle evaluation dataset for measuring code completion performance improvements in data science contexts
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 DS-FIM-Eval.
DeepSeek-V2.5 is currently ranked first with 78.3%.
DeepSeek's internal Fill-in-the-Middle evaluation dataset for measuring code completion performance improvements in data science contexts
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.