// COMPARISON

Qwen3-8B

A head-to-head benchmark comparison of Qwen3-8B across 23 evaluations.

The models

Language Open (Restricted)
Params
8.2B
Context
β€”
Released
Apr 2025

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon .

Full Qwen3-8B specs β†’

Benchmark comparison

Benchmark Qwen3-8B
code
Codeforces Elo 1,785
LiveCodeBench v5 54.5%
general
AlignBench v1.1 8.46
ArenaHard 85.8%
C-Eval 83.4%
Creative Writing v3 75
IFEval 85%
LiveBench 67.1
MMLU-Redux 87.5%
MMMLU 74.4%
Multi-IF 71.2
WritingBench 7.59
knowledge
INCLUDE 67.8
math
AIME 2024 76%
AIME 2025 67.3%
MATH-500 97.4%
MT-AIME 2024 65.4
PolyMath-en 42.7
reasoning
AutoLogi 89.1
GPQA Diamond 62%
MLogiQA 69
ZebraLogic 84.8%
tool-use
BFCL v3 68.1%

Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.

Frequently asked questions

Which of these models is best for coding? β–Ά

Qwen3-8B has the strongest result on Codeforces Elo among the models compared here. See the code-category rows in the table for the full picture.

How many benchmarks are compared? β–Ά

This comparison covers 23 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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