Leaderboard bars
1 ranked models · higher is better
View accessible chart data
| Model | Rank | Provider | Score |
|---|---|---|---|
| MiniMax M2.7 | #1 | MiniMax | 52.7% |
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Coding · Benchmark profile
Multi-language software engineering repository evaluation extending SWE-bench style tasks.
Data verified 15 July 2026 · Methodology 1.2.0
Visual analysis
Three views of the same sourced leaderboard: model placement, the score curve, and descriptive provider averages. These visuals never alter ranking calculations.
1 ranked models · higher is better
| Model | Rank | Provider | Score |
|---|---|---|---|
| MiniMax M2.7 | #1 | MiniMax | 52.7% |
Shows how quickly scores separate down the field
| Model | Rank | Provider | Score |
|---|---|---|---|
| MiniMax M2.7 | #1 | MiniMax | 52.7% |
Average within the visible cohort · descriptive only
| Provider | Models | Average score |
|---|---|---|
| MiniMax | 1 | 52.7% |
One best score per model · higher is better
| Rank | Model | Provider | License | Score |
|---|---|---|---|---|
| #1 | MiniMax M2.7 minimax-m2-7 | MiniMax | open | 52.7% |
About Multi-SWE-Bench
Multi-language software engineering repository evaluation extending SWE-bench style tasks. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
Multi-language software engineering repository evaluation extending SWE-bench style tasks.
MiniMax M2.7 by MiniMax currently leads with 52.7%.
1 model in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
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