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Models

61 of 61 models•
Benchmarks
Qwen 3.8 27B80.578%72%86%
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DeepSeek V4 Flash 073178.985%72%83%
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PoolsideLaguna S 2.175.156%71%78%
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0
Qwen3.6 27B73.799%65%78%
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0
Qwen3.6 35B A3B71.199%65%73%
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DeepSeek V4 Flash70.487%59%77%
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Step 3.7 Flash70.0100%61%74%
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0
DeepReinforceOrnith 1.0 397B67.797%64%69%
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DeepReinforceOrnith 1.0 35B67.296%60%70%
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rNex N2 Mini60.986%53%65%
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Gemma 4 31B It59.569%67%55%
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Nemotron 3 Super 120B A12B58.869%63%56%
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InternScienceAgents A157.195%56%57%
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Nemotron 3.5 Lightning56.265%58%55%
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Gpt Oss 120B56.272%55%56%
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Gemma 4 26B A4B53.680%51%54%
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Bonsai 27B53.269%50%54%
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H CompanyHolo 3.1 35B A3B53.097%49%54%
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Gemma 4 12B It51.982%62%45%
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PoolsideLaguna XS 2.151.858%50%53%
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Qwen3.5 9B Base51.099%50%50%
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Gpt Oss 20B48.078%50%46%
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Qwen3.5 9B46.399%49%43%
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Diffusiongemma 26B A4B It44.166%40%46%
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Mimo V2 Flash38.488%30%42%
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Nemotron 3 Nano 30B A3B38.239%41%37%
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Nemotron 3 Nano Omni 30B A3B Reasoning32.950%33%32%
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Gemma 4 E4B It28.914%28%30%
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Gemma 4 E2B It21.38%23%21%
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0
LFM2.5 8B A1B13.195%8%13%
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0
In Progress
AIBTL-4—–––
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Gemma 4 12B Coder Fable5 Composer2.5 V1—–––
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Llama 3.1 70B—–––
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Llama 3.1 70B Instruct—–––
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Llama 3.3 70B Instruct—–––
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Nvidia Nemotron 3 Ultra 550B A55B—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dflash—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dflash-n3—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dflash1—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dflash2—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dflash4—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dflash5—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dflash6—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dspark—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dspark1—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dspark4—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dspark5—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dspark6—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dspark7—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-dspark8—–––
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0
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-mtp2—–––
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NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4-mtp4—–––
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Qwen2 72B Instruct—–––
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Qwen2.5 32B—–––
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Qwen2.5 72B—–––
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Qwen2.5 72B Instruct—–––
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Qwen2.5 Coder 32B—–––
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Qwen3 235B A22B—–––
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Qwen3-32B—–––
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Qwen3.5 122B A10B—–––
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qwen3.8-27b-ud-q4km—–––
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0

61 models · 195 scored variants ·Intelligence = 2% × τ²-bench + 36% × GAIA + 62% × GDPval · Decode/Prefill = measured tok/s at a cold 32k-token context, single stream · benchmark scores = best measured run, whole percents.

Intelligence / Speed →the ranked leaderboardHardware →what your hardware runs
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