// COMPARISON

Qwen3-4B

A head-to-head benchmark comparison of Qwen3-4B across 23 evaluations.

The models

Language Open (Restricted)
Params
4B
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 Qwen3-4B specs β†’

Benchmark comparison

Benchmark Qwen3-4B
code
Codeforces Elo 1,671
LiveCodeBench v5 45.5%
general
AlignBench v1.1 8.3
ArenaHard 76.6%
C-Eval 77.5%
Creative Writing v3 61.1
IFEval 81.9%
LiveBench 63.6
MMLU-Redux 83.7%
MMMLU 69.8%
Multi-IF 66.3
WritingBench 7.35
knowledge
INCLUDE 61.8
math
AIME 2024 73.8%
AIME 2025 65.6%
MATH-500 97%
MT-AIME 2024 60.7
PolyMath-en 40
reasoning
AutoLogi 87.9
GPQA Diamond 55.9%
MLogiQA 65.9
ZebraLogic 81%
tool-use
BFCL v3 65.9%

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

Qwen3-4B 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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