general benchmark
DS-FIM-Eval Leaderboard
DS-FIM-Eval is DeepSeek's internal Fill-in-the-Middle evaluation dataset for measuring code completion performance improvements in data science contexts.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
DS-FIM-Eval Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelDE | Score78.30% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
DS-FIM-Eval Highlights
The leading models and scores on this benchmark.
The Top AI Models for DS-FIM-Eval
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis ds-fim-eval AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01DEDeepSeek
- Score
- 78.30%
- Speed
- Up to 100.00 tok/s via DeepSeek
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures DS-FIM-Eval, not total model capability
Selection summary
Best AI Models for DS-FIM-Eval
DeepSeek-V2.5 currently leads DS-FIM-Eval with 78.30%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is DS-FIM-Eval?
What DS-FIM-Eval measures and how its scores work.
DS-FIM-Eval is DeepSeek's internal Fill-in-the-Middle evaluation dataset.
It measures code completion performance improvements in data science contexts using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- DS-FIM-Eval
- Modality
- text
- Primary category
- general
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about DS-FIM-Eval.
Which model scores highest on DS-FIM-Eval?
DeepSeek-V2.5 is currently ranked first with 78.30%.
What are the top three models on DS-FIM-Eval?
The current leaders are DeepSeek-V2.5 (78.30%).
Which DS-FIM-Eval model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among DS-FIM-Eval results?
The fastest matched records are DeepSeek-V2.5 (100.00 tok/s via DeepSeek).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.