agents benchmark
DSBench-FullStack Leaderboard
DSBench-FullStack is DeepSeek's internal full-stack development test set for evaluating coding agents on end-to-end software engineering tasks.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
DSBench-FullStack Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelDE | Score71.10% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelDE | Score68.70% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
DSBench-FullStack Highlights
The leading models and scores on this benchmark.
DSBench-FullStack Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for DSBench-FullStack
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is DSBench-FullStack?
What DSBench-FullStack measures and how its scores work.
DSBench-FullStack is DeepSeek's internal full-stack development test set.
It measures coding agents' performance on end-to-end software engineering tasks 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
- DSBench-FullStack
- Modality
- text
- Primary category
- agents
- 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 DSBench-FullStack.
Which model scores highest on DSBench-FullStack?
DeepSeek-V4-Pro-0813 is currently ranked first with 71.10%.
What are the top three models on DSBench-FullStack?
The current leaders are DeepSeek-V4-Pro-0813 (71.10%) and DeepSeek-V4-Flash-0731 (68.70%).
Which DSBench-FullStack model has the lowest official input price?
DeepSeek-V4-Flash-0731 has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.
Which models are fastest among DSBench-FullStack results?
The fastest matched records are DeepSeek-V4-Pro-0813 (45.48 tok/s via DeepSeek) and DeepSeek-V4-Flash-0731 (15.91 tok/s via DeepInfra).
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.