{"slug": "hugging-face-official-benchmarks-daily-update-2026-10-20", "title": "Hugging Face Official Benchmarks: Daily Update 2026-10-20", "summary": "A public leaderboard map tracking Hugging Face official benchmarks reported 49 benchmarks and 1,107 leaderboard entries as of October 20, 2026. FINAL-Bench's Darwin-180B-RSI held the most top spots with 11, including MMLU-Pro (88.12), GPQA (94.44), AIME 2026 (100) and HMMT Feb 2026 (100), while deepseek-ai's DeepSeek-V4.1-Flash led HLE (63.9) and terminal-bench-2.1 (90.6). inclusionAI, zai-org, XiaomiMiMo and deepseek-ai followed in the organization rankings.", "body_md": "This is the daily update of the [Hugging Face Official Benchmarks map](https://huggingface.co/spaces/quantid/huggingface-official-benchmark-leaderboards), which reads every Hugging Face *official benchmark* leaderboard straight from the public API.\n\n**As of 2026-10-20 (KST):** 49 official benchmarks, 1,107 leaderboard entries.\n\n| Rank | Organization | #1 spots | \n|---|---|---|\n| 1 | FINAL-Bench | 11 | \n| 2 | inclusionAI | 4 | \n| 3 | zai-org | 4 | \n| 4 | XiaomiMiMo | 3 | \n| 5 | deepseek-ai | 3 | \n| 6 | MiniMaxAI | 2 | \n| 7 | moonshotai | 2 | \n| 8 | ornith-ai | 2 | \n| 9 | Edge0 | 1 | \n| 10 | KDLAI | 1 | \n\n| Benchmark | #1 model | Score | Entries | \n|---|---|---|---|\n| [MMLU-Pro](https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro) | FINAL-Bench/Darwin-180B-RSI | 88.12 | 142 | \n| [gpqa](https://huggingface.co/datasets/Idavidrein/gpqa) | FINAL-Bench/Darwin-180B-RSI | 94.44 | 115 | \n| [hle](https://huggingface.co/datasets/cais/hle) | deepseek-ai/DeepSeek-V4.1-Flash | 63.9 | 95 | \n| [SWE-bench_Verified](https://huggingface.co/datasets/SWE-bench/SWE-bench_Verified) | ornith-ai/Ornith-1.5-397B | 86 | 68 | \n| [open-asr-leaderboard](https://huggingface.co/datasets/hf-audio/open-asr-leaderboard) | Edge0/ARK-ASR-3B | 4.76 | 63 | \n| [WildClawBench](https://huggingface.co/datasets/internlm/WildClawBench) | Qwen/Qwen3.8-2.4T-A95B | 708 | 51 | \n| [SWE-bench_Pro](https://huggingface.co/datasets/ScaleAI/SWE-bench_Pro) | inclusionAI/Ling-3.1-flash | 68.74 | 47 | \n| [terminal-bench-2.0](https://huggingface.co/datasets/harborframework/terminal-bench-2.0) | mindlab-research/Macaron-V1-Venti | 87.6 | 40 | \n| [terminal-bench-2.1](https://huggingface.co/datasets/harborframework/terminal-bench-2.1) | deepseek-ai/DeepSeek-V4.1-Flash | 90.6 | 37 | \n| [ParseBench](https://huggingface.co/datasets/llamaindex/ParseBench) | KDLAI/KDL-Frontier-Parser-nano | 76.36 | 34 | \n| [SWE-bench_Multilingual](https://huggingface.co/datasets/SWE-bench/SWE-bench_Multilingual) | inclusionAI/Ling-3.1-flash | 88.5 | 28 | \n| [aime_2026](https://huggingface.co/datasets/MathArena/aime_2026) | FINAL-Bench/Darwin-180B-RSI | 100 | 27 | \n| [deep-swe](https://huggingface.co/datasets/datacurve/deep-swe) | deepseek-ai/DeepSeek-V4.1-Flash | 74.2 | 25 | \n| [ScreenSpot-Pro](https://huggingface.co/datasets/likaixin/ScreenSpot-Pro) | meta-models/Muse-Glimmer-30B | 75.4 | 24 | \n| [Claw-Eval](https://huggingface.co/datasets/claw-eval/Claw-Eval) | ornith-ai/Ornith-1.5-397B | 81.4 | 23 | \n| [olmOCR-bench](https://huggingface.co/datasets/allenai/olmOCR-bench) | SoMarkAI/OXR-1.0 | 87.84 | 22 | \n| [hmmt_feb_2026](https://huggingface.co/datasets/MathArena/hmmt_feb_2026) | FINAL-Bench/Darwin-180B-RSI | 100 | 20 | \n| [gsm8k](https://huggingface.co/datasets/openai/gsm8k) | XiaomiMiMo/MiMo-V2.5-Pro | 99.6 | 19 | \n| [Toolathlon](https://huggingface.co/datasets/hkust-nlp/Toolathlon) | XiaomiMiMo/MiMo-V2.6-Pro-RL | 76.9 | 18 | \n| [Real5-OmniDocBench](https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench) | PaddlePaddle/PaddleOCR-VL-1.6 | 93.19 | 17 | \n| [MDPBench](https://huggingface.co/datasets/Delores-Lin/MDPBench) | FINAL-Bench/Darwin-180B-RSI | 83.65 | 15 | \n| [RedlineBench](https://huggingface.co/datasets/crosbylegal/RedlineBench) | crosbylegal/gemini-4-argon | 59.5 | 14 | \n| [apex-agents](https://huggingface.co/datasets/mercor/apex-agents) | moonshotai/Kimi-K3 | 41 | 13 | \n| [skillsbench](https://huggingface.co/datasets/benchflow/skillsbench) | inclusionAI/Ling-3.1-flash | 68.7 | 12 | \n| [LEXam-hard](https://huggingface.co/datasets/joelniklaus/LEXam-hard) | FINAL-Bench/Darwin-180B-RSI | 45.72 | 12 | \n| [ExtractBench](https://huggingface.co/datasets/llamaindex/ExtractBench) | FINAL-Bench/Darwin-180B-RSI-R3 | 90.29 | 11 | \n| [MMMU_Pro](https://huggingface.co/datasets/MMMU/MMMU_Pro) | FINAL-Bench/Darwin-180B-RSI | 79.48 | 11 | \n| [LEXam](https://huggingface.co/datasets/LEXam-Benchmark/LEXam) | FINAL-Bench/Darwin-180B-RSI | 68.94 | 10 | \n| [yc-bench](https://huggingface.co/datasets/collinear-ai/yc-bench) | MiniMaxAI/MiniMax-M3 | 2100000 | 10 | \n| [Vaani-Benchmark-V1.0](https://huggingface.co/datasets/ARTPARK-IISc/Vaani-Benchmark-V1.0) | gnani/gnani | 13 | 10 | \n| [Long-Horizon-Terminal-Bench](https://huggingface.co/datasets/IntelligenceLab/Long-Horizon-Terminal-Bench) | moonshotai/Kimi-K3 | 6 | 9 | \n| [typed-decisions](https://huggingface.co/datasets/LocalLLaMA/typed-decisions) | FINAL-Bench/Darwin-27B-ZTC-v5 | 0.812 | 8 | \n| [agents-last-exam](https://huggingface.co/datasets/agents-last-exam/agents-last-exam) | XiaomiMiMo/MiMo-V2.6-Pro-RL | 31.6 | 8 | \n| [WBench](https://huggingface.co/datasets/meituan-longcat/WBench) | robbyant/lingbot-world-fast | 78.8 | 8 | \n| [ResearchClawBench](https://huggingface.co/datasets/InternScience/ResearchClawBench) | zai-org/GLM-5.2 | 20.709230769230768 | 7 | \n| [Video-MME-v2](https://huggingface.co/datasets/MME-Benchmarks/Video-MME-v2) | MiniMaxAI/MiniMax-M3 | 85.4 | 7 | \n| [ifstruct-v1.0](https://huggingface.co/datasets/LiquidAI/ifstruct-v1.0) | FINAL-Bench/Darwin-180B-RSI | 98.95 | 6 | \n| [terminal-bench](https://huggingface.co/datasets/harborframework/terminal-bench) | inclusionAI/Ling-3.1-flash | 46.03 | 6 | \n| [EvasionBench](https://huggingface.co/datasets/FutureMa/EvasionBench) | zai-org/GLM-4.7 | 82.91 | 5 | \n| [chi-bench](https://huggingface.co/datasets/actava/chi-bench) | zai-org/GLM-5.1 | 18.7 | 3 | \n| [arguana](https://huggingface.co/datasets/mteb/arguana) | google/embeddinggemma-300m | 71.535 | 3 | \n| [APEX-v1-extended](https://huggingface.co/datasets/mercor/APEX-v1-extended) | zai-org/GLM-4.7 | 51.7 | 2 | \n| [vlabench_primitive_ft_lerobot_video](https://huggingface.co/datasets/VLABench/vlabench_primitive_ft_lerobot_video) | nvidia/GR00T-N1-2B | 39.7 | 1 | \n| [BRIGHT](https://huggingface.co/datasets/mteb/BRIGHT) | mteb/baseline-bm25s | 0.11 | 1 | \n\nMost leaderboard entries are self-reported by model authors, and evaluation settings differ between submissions (sampling, voting, thinking budget). An entry is marked *verified* only where Hugging Face marks it so. Ties at rank 1 count for each tied organization.\n\nDisclosure: QuantID is a technology partner of VIDRAFT, whose FINAL-Bench organization appears in these rankings. This post reports the public leaderboard data as published on Hugging Face; it is not an independent evaluation.", "url": "https://wpnews.pro/news/hugging-face-official-benchmarks-daily-update-2026-10-20", "canonical_source": "https://dev.to/quantid/hugging-face-official-benchmarks-daily-update-2026-10-20-3gl7", "published_at": "2026-10-19 15:00:54+00:00", "updated_at": "2026-10-19 15:14:48.722535+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-research"], "entities": ["Hugging Face", "FINAL-Bench", "Darwin-180B-RSI", "deepseek-ai", "DeepSeek-V4.1-Flash", "inclusionAI", "XiaomiMiMo", "zai-org"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/hugging-face-official-benchmarks-daily-update-2026-10-20", "markdown": "https://wpnews.pro/news/hugging-face-official-benchmarks-daily-update-2026-10-20.md", "text": "https://wpnews.pro/news/hugging-face-official-benchmarks-daily-update-2026-10-20.txt", "jsonld": "https://wpnews.pro/news/hugging-face-official-benchmarks-daily-update-2026-10-20.jsonld"}}