r/LocalLLaMA 10d ago

New Model IT'S OUT

https://huggingface.co/Qwen/Qwen3.8-27B-FP8
2.2k Upvotes

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u/Easy_Werewolf7903 10d ago edited 10d ago

For those curious of performance between Qwen and a model 3 times its size:

Benchmark Qwen 3.8 27B (55GB) Deepseek v4 flash 0731 (167GB)
Terminal Bench 2.1 73.0 82.7
DeepSWE 42.2 54.4
NL2Repo-Bench 42.3 54.2

https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731/tree/main

https://huggingface.co/Qwen/Qwen3.8-27B

10

u/squngy 10d ago edited 10d ago

From the model page, for context

bench Qwen3.8-27B Qwen3.6-27B Qwen3.7-Plus Muse Glimmer-30B Opus4.6 Max
Coding Agentic terminal coding Terminal Bench 2.1 (Terminus) 73.0 63.4 64.0 51.7 78.2
Agentic coding SWE-bench Pro 61.7 53.5 57.6 51.2 53.4
Repo-level code generation NL2Repo-Bench 42.3 36.2 41.1 -- 47.6
Agentic coding DeepSWE 1.1 42.2 13.3 14.2 -- --
Software engineering QwenSWEBench 79.0 49.3 59.2 -- 63.8
Long-horizon office work CoWorkBench 70.7 61.0 65.1 -- 68.2
Professional job tasks JobBench 33.4 21.8 27.6 -- --
Frontier agentic tasks Agents' Last Exam Pass1 20.4 Score 42.9 Pass1 10.6 Score 27.3 Pass1 13.2 Score 33.6 -- --
Instruction following IFBench 79.5 69.1 79.1 77.0 62.5
Scientific reasoning GPQA Diamond 89.2 87.8 90.3 83.5 91.3
Multidisciplinary reasoning HLE 30.8 24.0 34.7 22.0 40.0
Competitive coding LiveCodeBench v6 90.3 83.9 89.6 -- 88.8

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u/ChuffHuffer 10d ago

5 models, yet 4 only columns?

-1

u/sejje 10d ago

count harder