Official benchmarks map / SWE-bench_Multilingual
inclusionAI/Ling-3.1-flash is ranked first on the SWE-bench_Multilingual leaderboard with 88.5, 6.8% ahead of tencent/Hy4-preview. Read live from the Hugging Face API on November 8, 2026.
| # | Model | Organization | Score |
|---|---|---|---|
| 1 | inclusionAI/Ling-3.1-flash | inclusionAI | 88.5 |
| 2 | tencent/Hy4-preview | tencent | 82.9 |
| 3 | internlm/Intern-S2-Preview-397B | internlm | 81.67 |
| 4 | Qwen/Qwen3.8-Flash-Next | Qwen | 81 |
| 5 | ornith-ai/Ornith-1.5-397B | ornith-ai | 79.6 |
| 6 | ornith-ai/Ornith-1.0-397B | ornith-ai | 78.9 |
| 7 | reflection/Beam-1.0-501B-A23B | reflection | 78.3 |
| 8 | meituan-longcat/LongCat-2.0 | meituan-longcat | 77.3 |
| 9 | moonshotai/Kimi-K2.6 | moonshotai | 76.7 |
| 10 | MiniMaxAI/MiniMax-M2.7 | MiniMaxAI | 76.5 |
SWE-bench_Multilingual is a dataset that Hugging Face marks as an official benchmark. Its leaderboard is built automatically from the .eval_results files that model repositories publish, so entries are mostly self-reported by model authors and evaluation settings differ between submissions. A verified tag appears only where Hugging Face marks an entry as verified.
Original board: huggingface.co/datasets/SWE-bench/SWE-bench_Multilingual
Part of the Hugging Face official benchmarks map by QuantID. Unofficial. Not affiliated with or endorsed by Hugging Face.