agents benchmark
SWE-fficiency Leaderboard
SWE-fficiency is an open-source benchmark and workflow for evaluating language models on optimizing the runtime efficiency of real-world software engineering tasks.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
SWE-fficiency Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score34.80% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
SWE-fficiency Highlights
The leading models and scores on this benchmark.
The Top AI Models for SWE-fficiency
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis swe-fficiency AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMiniMax
- Score
- 34.80%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 6.61 tok/s via MiniMax
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-fficiency, not total model capability
Selection summary
Best AI Models for SWE-fficiency
MiniMax M3 currently leads SWE-fficiency with 34.80%. 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 SWE-fficiency?
What SWE-fficiency measures and how its scores work.
SWE-fficiency is an open-source benchmark and workflow in the agents category.
It measures how well agents can autonomously improve code performance, 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
- SWE-fficiency
- 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 SWE-fficiency.
Which model scores highest on SWE-fficiency?
MiniMax M3 is currently ranked first with 34.80%.
What are the top three models on SWE-fficiency?
The current leaders are MiniMax M3 (34.80%).
Which SWE-fficiency model has the lowest official input price?
MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.
Which models are fastest among SWE-fficiency results?
The fastest matched records are MiniMax M3 (6.61 tok/s via MiniMax).
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.