Noometry

Model comparison

Llama 2-13B vs Qwen3-30B-A3B

Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.1 on the Noometry Index.

Last verified . 20 shared benchmarks.

Llama 2-13B Meta

29.1

Rank #304 Confirmed

Qwen3-30B-A3B Alibaba (Qwen)

38.5

Rank #174 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Llama 2-13B scores higher in 1 category and Qwen3-30B-A3B in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3-30B-A3B leads 55.9 to 30.0.
  • The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 69.3% for Qwen3-30B-A3B.

Side by side

Llama 2-13BQwen3-30B-A3B
ProviderMetaAlibaba (Qwen)
Noometry Index29.138.5
Released2023-07-182025-04-28
WeightsOpenOpen
Context window—41K
Max output—16K
Input $ / M tokens—$0.12
Output $ / M tokens—$0.50
Results tracked3232

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Category by category

Coding Qwen3-30B-A3B leads

Llama 2-13B: 30.4 (#287), Qwen3-30B-A3B: 37.0 (#188)

BenchmarkLlama 2-13BQwen3-30B-A3B
LMArena Coding10621416
SciCode—33.3%
WeirdML—29.8%

Agentic & Tool Use Not comparable

Llama 2-13B: —, Qwen3-30B-A3B: 29.5 (#75)

BenchmarkLlama 2-13BQwen3-30B-A3B
Berkeley Function Calling Leaderboard—41.4%

Reasoning Qwen3-30B-A3B leads

Llama 2-13B: 12.3 (#333), Qwen3-30B-A3B: 21.6 (#193)

BenchmarkLlama 2-13BQwen3-30B-A3B
Chess Puzzles0%8%
LMArena Hard Prompts10511398
DTBench42.2%69.3%
Epoch Capabilities Index105.8139.63
Kagi LLM Benchmark—54.9%
CritPt—0.3%
LMCA—22.4%
BIG-Bench Hard58.2%—
HellaSwag80.7%—
LAMBADA76.5%—
PIQA80.8%—
WinoGrande72.8%—

Math Qwen3-30B-A3B leads

Llama 2-13B: 28.7 (#226), Qwen3-30B-A3B: 36.0 (#133)

BenchmarkLlama 2-13BQwen3-30B-A3B
LMArena Math10651394
MathArena Final-Answer Competitions—47.8%
OTIS Mock AIME 2024-2025—70.3%
GSM8K36.9%—

Knowledge Qwen3-30B-A3B leads

Llama 2-13B: 27.5 (#244), Qwen3-30B-A3B: 41.7 (#96)

BenchmarkLlama 2-13BQwen3-30B-A3B
LMArena Expert10301395
GPQA Diamond—70.1%
Confabulations—12.3%
ARC (AI2) Challenge60.3%—
BoolQ82.4%—
MMLU55.6%—
OpenBookQA57%—
TriviaQA79.6%—

Multimodal Not comparable

Llama 2-13B: —, Qwen3-30B-A3B: —

BenchmarkLlama 2-13BQwen3-30B-A3B
ScienceQA55.8%—

Multilingual Qwen3-30B-A3B leads

Llama 2-13B: 26.7 (#274), Qwen3-30B-A3B: 49.8 (#126)

BenchmarkLlama 2-13BQwen3-30B-A3B
LMArena Non-English10241372
LMArena Chinese10011434
LMArena French10431419
LMArena German10091379
LMArena Japanese8941338
LMArena Korean9531333
LMArena Russian10551369
LMArena Spanish10861403

Instruction Following Qwen3-30B-A3B leads

Llama 2-13B: 53.5 (#282), Qwen3-30B-A3B: 72.2 (#137)

BenchmarkLlama 2-13BQwen3-30B-A3B
LMArena Instruction Following10461364

Long Context Llama 2-13B leads

Llama 2-13B: 32.3 (#264), Qwen3-30B-A3B: 31.0 (#278)

BenchmarkLlama 2-13BQwen3-30B-A3B
LMArena Longer Query10641379
Fiction.LiveBench—40.6%

Writing & Preference Qwen3-30B-A3B leads

Llama 2-13B: 30.0 (#284), Qwen3-30B-A3B: 55.9 (#138)

BenchmarkLlama 2-13BQwen3-30B-A3B
LMArena Text10851384
LMArena Creative Writing10471318
LMArena Multi-Turn10501378
Short-Story Creative Writing—75.3%

Frequently asked questions

Is Llama 2-13B better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 29.1 on the Noometry Index.

Is Llama 2-13B or Qwen3-30B-A3B better for coding?

Qwen3-30B-A3B scores higher on coding benchmarks: 37.0 versus 30.4 in the Noometry coding category.

How many benchmarks do Llama 2-13B and Qwen3-30B-A3B share?

20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3-30B-A3B has 32.

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