// COMPARISON

Qwen3-0.6B

A head-to-head benchmark comparison of Qwen3-0.6B across 24 evaluations.

The models

Language Open (Restricted)
Params
600M
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 Qwen3-0.6B specs β†’

Benchmark comparison

Benchmark Qwen3-0.6B
code
LiveCodeBench v5 12.3%
LiveCodeBench v6 6.9%
general
AlignBench v1.1 6.1
ArenaHard 8.5%
C-Eval 50.4%
Creative Writing v3 30.6
IFEval 59.2%
LiveBench 30.3
MMLU-Pro 26.6%
MMLU-Redux 55.6%
MMMLU 43.1%
Multi-IF 36.1
WritingBench 5.61
knowledge
INCLUDE 35.9
math
AIME 2024 10.7%
AIME 2025 15.1%
MATH-500 77.6%
MT-AIME 2024 7.8
PolyMath-en 11.4
reasoning
AutoLogi 61.6
GPQA Diamond 27.9%
MLogiQA 40.9
ZebraLogic 30.3%
tool-use
BFCL v3 46.4%

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

Qwen3-0.6B has the strongest result on LiveCodeBench v5 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 24 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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