Model comparison

Llama 2-13B vs Qwen3-4B

Qwen3-4B is the stronger model overall, scoring 31.9 to 29.6 on the Noometry Index.

Last verified . 1 shared benchmarks.

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Qwen3-4B Alibaba (Qwen)

31.9

Rank #264 Confirmed

Summary

  • They share 1 benchmark with published results for both. Llama 2-13B scores higher in 1 category and Qwen3-4B in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3-4B leads 19.2 to 12.8.

Side by side

Llama 2-13B and Qwen3-4B specifications
Llama 2-13BQwen3-4B
ProviderMetaAlibaba (Qwen)
Noometry Index29.631.9
Released2023-07-182025-04-29
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked326

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Category by category

Coding Not comparable

Llama 2-13B: 30.9 (#291), Qwen3-4B: —

Coding benchmarks
BenchmarkLlama 2-13BQwen3-4B
LMArena Coding1062—

Agentic & Tool Use Not comparable

Llama 2-13B: —, Qwen3-4B: 27.6 (#100)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-13BQwen3-4B
Berkeley Function Calling Leaderboard—35.7%

Reasoning Qwen3-4B leads

Llama 2-13B: 12.8 (#337), Qwen3-4B: 19.2 (#268)

Reasoning benchmarks
BenchmarkLlama 2-13BQwen3-4B
Chess Puzzles0%4%
LMArena Hard Prompts1051—
DTBench42.2%—
BIG-Bench Hard58.2%—
Epoch Capabilities Index106.17—
HellaSwag80.7%—
LAMBADA76.5%—
PIQA80.8%—
WinoGrande72.8%—

Math Llama 2-13B leads

Llama 2-13B: 31.1 (#229), Qwen3-4B: 29.7 (#240)

Math benchmarks
BenchmarkLlama 2-13BQwen3-4B
MathArena Final-Answer Competitions—38.5%
OTIS Mock AIME 2024-2025—52.2%
LMArena Math1065—
GSM8K36.9%—

Knowledge Qwen3-4B leads

Llama 2-13B: 28.1 (#249), Qwen3-4B: 33.0 (#208)

Knowledge benchmarks
BenchmarkLlama 2-13BQwen3-4B
GPQA Diamond—52.3%
Vectara Hallucination Rate—5.7%
LMArena Expert1030—
ARC (AI2) Challenge60.3%—
BoolQ82.4%—
MMLU55.6%—
OpenBookQA57%—
TriviaQA79.6%—

Multimodal Not comparable

Llama 2-13B: —, Qwen3-4B: —

Multimodal benchmarks
BenchmarkLlama 2-13BQwen3-4B
ScienceQA55.8%—

Multilingual Not comparable

Llama 2-13B: 26.5 (#279), Qwen3-4B: —

Multilingual benchmarks
BenchmarkLlama 2-13BQwen3-4B
LMArena Non-English1024—
LMArena Chinese1001—
LMArena French1044—
LMArena German1009—
LMArena Japanese894—
LMArena Korean953—
LMArena Russian1055—
LMArena Spanish1087—

Instruction Following Not comparable

Llama 2-13B: 53.3 (#287), Qwen3-4B: —

Instruction Following benchmarks
BenchmarkLlama 2-13BQwen3-4B
LMArena Instruction Following1045—

Long Context Not comparable

Llama 2-13B: 32.3 (#269), Qwen3-4B: —

Long Context benchmarks
BenchmarkLlama 2-13BQwen3-4B
LMArena Longer Query1064—

Writing & Preference Not comparable

Llama 2-13B: 29.8 (#289), Qwen3-4B: —

Writing & Preference benchmarks
BenchmarkLlama 2-13BQwen3-4B
LMArena Text1084—
LMArena Creative Writing1047—
LMArena Multi-Turn1050—

Frequently asked questions

Is Llama 2-13B better than Qwen3-4B?

Qwen3-4B is the stronger model overall, scoring 31.9 to 29.6 on the Noometry Index.

How many benchmarks do Llama 2-13B and Qwen3-4B share?

1 benchmark has published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3-4B has 6.

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