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Hugging Face Official Benchmarks: Daily Update 2026-10-20

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.

by read3 min views5 publishedOct 19, 2026

This is the daily update of the Hugging Face Official Benchmarks map, which reads every Hugging Face official benchmark leaderboard straight from the public API.

As of 2026-10-20 (KST): 49 official benchmarks, 1,107 leaderboard entries.

Rank Organization #1 spots
1 FINAL-Bench 11
2 inclusionAI 4
3 zai-org 4
4 XiaomiMiMo 3
5 deepseek-ai 3
6 MiniMaxAI 2
7 moonshotai 2
8 ornith-ai 2
9 Edge0 1
10 KDLAI 1

| Benchmark | #1 model | Score | Entries |

|---|---|---|---|
| [MMLU-Pro](https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro) | FINAL-Bench/Darwin-180B-RSI | 88.12 | 142 | 
| [gpqa](https://huggingface.co/datasets/Idavidrein/gpqa) | FINAL-Bench/Darwin-180B-RSI | 94.44 | 115 | 
| [hle](https://huggingface.co/datasets/cais/hle) | deepseek-ai/DeepSeek-V4.1-Flash | 63.9 | 95 | 
| [SWE-bench_Verified](https://huggingface.co/datasets/SWE-bench/SWE-bench_Verified) | ornith-ai/Ornith-1.5-397B | 86 | 68 | 
| [open-asr-leaderboard](https://huggingface.co/datasets/hf-audio/open-asr-leaderboard) | Edge0/ARK-ASR-3B | 4.76 | 63 | 
| [WildClawBench](https://huggingface.co/datasets/internlm/WildClawBench) | Qwen/Qwen3.8-2.4T-A95B | 708 | 51 | 
| [SWE-bench_Pro](https://huggingface.co/datasets/ScaleAI/SWE-bench_Pro) | inclusionAI/Ling-3.1-flash | 68.74 | 47 | 
| [terminal-bench-2.0](https://huggingface.co/datasets/harborframework/terminal-bench-2.0) | mindlab-research/Macaron-V1-Venti | 87.6 | 40 | 
| [terminal-bench-2.1](https://huggingface.co/datasets/harborframework/terminal-bench-2.1) | deepseek-ai/DeepSeek-V4.1-Flash | 90.6 | 37 | 
| [ParseBench](https://huggingface.co/datasets/llamaindex/ParseBench) | KDLAI/KDL-Frontier-Parser-nano | 76.36 | 34 | 
| [SWE-bench_Multilingual](https://huggingface.co/datasets/SWE-bench/SWE-bench_Multilingual) | inclusionAI/Ling-3.1-flash | 88.5 | 28 | 
| [aime_2026](https://huggingface.co/datasets/MathArena/aime_2026) | FINAL-Bench/Darwin-180B-RSI | 100 | 27 | 
| [deep-swe](https://huggingface.co/datasets/datacurve/deep-swe) | deepseek-ai/DeepSeek-V4.1-Flash | 74.2 | 25 | 
| [ScreenSpot-Pro](https://huggingface.co/datasets/likaixin/ScreenSpot-Pro) | meta-models/Muse-Glimmer-30B | 75.4 | 24 | 
| [Claw-Eval](https://huggingface.co/datasets/claw-eval/Claw-Eval) | ornith-ai/Ornith-1.5-397B | 81.4 | 23 | 
| [olmOCR-bench](https://huggingface.co/datasets/allenai/olmOCR-bench) | SoMarkAI/OXR-1.0 | 87.84 | 22 | 
| [hmmt_feb_2026](https://huggingface.co/datasets/MathArena/hmmt_feb_2026) | FINAL-Bench/Darwin-180B-RSI | 100 | 20 | 
| [gsm8k](https://huggingface.co/datasets/openai/gsm8k) | XiaomiMiMo/MiMo-V2.5-Pro | 99.6 | 19 | 
| [Toolathlon](https://huggingface.co/datasets/hkust-nlp/Toolathlon) | XiaomiMiMo/MiMo-V2.6-Pro-RL | 76.9 | 18 | 
| [Real5-OmniDocBench](https://huggingface.co/datasets/PaddlePaddle/Real5-OmniDocBench) | PaddlePaddle/PaddleOCR-VL-1.6 | 93.19 | 17 | 
| [MDPBench](https://huggingface.co/datasets/Delores-Lin/MDPBench) | FINAL-Bench/Darwin-180B-RSI | 83.65 | 15 | 
| [RedlineBench](https://huggingface.co/datasets/crosbylegal/RedlineBench) | crosbylegal/gemini-4-argon | 59.5 | 14 | 
| [apex-agents](https://huggingface.co/datasets/mercor/apex-agents) | moonshotai/Kimi-K3 | 41 | 13 | 
| [skillsbench](https://huggingface.co/datasets/benchflow/skillsbench) | inclusionAI/Ling-3.1-flash | 68.7 | 12 | 
| [LEXam-hard](https://huggingface.co/datasets/joelniklaus/LEXam-hard) | FINAL-Bench/Darwin-180B-RSI | 45.72 | 12 | 
| [ExtractBench](https://huggingface.co/datasets/llamaindex/ExtractBench) | FINAL-Bench/Darwin-180B-RSI-R3 | 90.29 | 11 | 
| [MMMU_Pro](https://huggingface.co/datasets/MMMU/MMMU_Pro) | FINAL-Bench/Darwin-180B-RSI | 79.48 | 11 | 
| [LEXam](https://huggingface.co/datasets/LEXam-Benchmark/LEXam) | FINAL-Bench/Darwin-180B-RSI | 68.94 | 10 | 
| [yc-bench](https://huggingface.co/datasets/collinear-ai/yc-bench) | MiniMaxAI/MiniMax-M3 | 2100000 | 10 | 
| [Vaani-Benchmark-V1.0](https://huggingface.co/datasets/ARTPARK-IISc/Vaani-Benchmark-V1.0) | gnani/gnani | 13 | 10 | 
| [Long-Horizon-Terminal-Bench](https://huggingface.co/datasets/IntelligenceLab/Long-Horizon-Terminal-Bench) | moonshotai/Kimi-K3 | 6 | 9 | 
| [typed-decisions](https://huggingface.co/datasets/LocalLLaMA/typed-decisions) | FINAL-Bench/Darwin-27B-ZTC-v5 | 0.812 | 8 | 
| [agents-last-exam](https://huggingface.co/datasets/agents-last-exam/agents-last-exam) | XiaomiMiMo/MiMo-V2.6-Pro-RL | 31.6 | 8 | 
| [WBench](https://huggingface.co/datasets/meituan-longcat/WBench) | robbyant/lingbot-world-fast | 78.8 | 8 | 
| [ResearchClawBench](https://huggingface.co/datasets/InternScience/ResearchClawBench) | zai-org/GLM-5.2 | 20.709230769230768 | 7 | 
| [Video-MME-v2](https://huggingface.co/datasets/MME-Benchmarks/Video-MME-v2) | MiniMaxAI/MiniMax-M3 | 85.4 | 7 | 
| [ifstruct-v1.0](https://huggingface.co/datasets/LiquidAI/ifstruct-v1.0) | FINAL-Bench/Darwin-180B-RSI | 98.95 | 6 | 
| [terminal-bench](https://huggingface.co/datasets/harborframework/terminal-bench) | inclusionAI/Ling-3.1-flash | 46.03 | 6 | 
| [EvasionBench](https://huggingface.co/datasets/FutureMa/EvasionBench) | zai-org/GLM-4.7 | 82.91 | 5 | 
| [chi-bench](https://huggingface.co/datasets/actava/chi-bench) | zai-org/GLM-5.1 | 18.7 | 3 | 
| [arguana](https://huggingface.co/datasets/mteb/arguana) | google/embeddinggemma-300m | 71.535 | 3 | 
| [APEX-v1-extended](https://huggingface.co/datasets/mercor/APEX-v1-extended) | zai-org/GLM-4.7 | 51.7 | 2 | 

| vlabench_primitive_ft_lerobot_video | nvidia/GR00T-N1-2B | 39.7 | 1 |

| BRIGHT | mteb/baseline-bm25s | 0.11 | 1 | Most 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.

Disclosure: 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.

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