Noometry

Model comparison

Llama 2-13B vs Qwen3.5 35B-A3B

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 29.6 on the Noometry Index.

Last verified . 20 shared benchmarks.

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Qwen3.5 35B-A3B Alibaba (Qwen)

42.0

Rank #123 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Qwen3.5 35B-A3B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.5 35B-A3B leads 57.9 to 29.8.
  • The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 80% for Qwen3.5 35B-A3B.

Side by side

Llama 2-13BQwen3.5 35B-A3B
ProviderMetaAlibaba (Qwen)
Noometry Index29.642.0
Released2023-07-182026-02-01
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.25
Output $ / M tokens—$2
Results tracked3228

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Category by category

Coding Qwen3.5 35B-A3B leads

Llama 2-13B: 30.9 (#291), Qwen3.5 35B-A3B: 33.8 (#251)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
LMArena Coding10621410
LMArena WebDev—1254
SciCode—29.3%

Reasoning Qwen3.5 35B-A3B leads

Llama 2-13B: 12.8 (#337), Qwen3.5 35B-A3B: 24.6 (#161)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
Chess Puzzles0%10%
LMArena Hard Prompts10511400
DTBench42.2%80%
Epoch Capabilities Index106.17142.52
CritPt—0.6%
LMCA—29.5%
BIG-Bench Hard58.2%—
HellaSwag80.7%—
LAMBADA76.5%—
PIQA80.8%—
WinoGrande72.8%—

Math Qwen3.5 35B-A3B leads

Llama 2-13B: 31.1 (#229), Qwen3.5 35B-A3B: 39.9 (#97)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
LMArena Math10651404
MathArena Final-Answer Competitions—56%
OTIS Mock AIME 2024-2025—70%
GSM8K36.9%—

Knowledge Qwen3.5 35B-A3B leads

Llama 2-13B: 28.1 (#249), Qwen3.5 35B-A3B: 47.8 (#79)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
LMArena Expert10301408
GPQA Diamond—83.5%
Vectara Hallucination Rate—10.5%
ARC (AI2) Challenge60.3%—
BoolQ82.4%—
MMLU55.6%—
OpenBookQA57%—
TriviaQA79.6%—

Multimodal Not comparable

Llama 2-13B: —, Qwen3.5 35B-A3B: —

BenchmarkLlama 2-13BQwen3.5 35B-A3B
ScienceQA55.8%—

Multilingual Qwen3.5 35B-A3B leads

Llama 2-13B: 26.5 (#279), Qwen3.5 35B-A3B: 50.0 (#127)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
LMArena Non-English10241378
LMArena Chinese10011457
LMArena French10441412
LMArena German10091367
LMArena Japanese8941325
LMArena Korean9531356
LMArena Russian10551376
LMArena Spanish10871392

Instruction Following Qwen3.5 35B-A3B leads

Llama 2-13B: 53.3 (#287), Qwen3.5 35B-A3B: 72.8 (#128)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
LMArena Instruction Following10451379

Long Context Qwen3.5 35B-A3B leads

Llama 2-13B: 32.3 (#269), Qwen3.5 35B-A3B: 42.4 (#127)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
LMArena Longer Query10641389

Writing & Preference Qwen3.5 35B-A3B leads

Llama 2-13B: 29.8 (#289), Qwen3.5 35B-A3B: 57.9 (#124)

BenchmarkLlama 2-13BQwen3.5 35B-A3B
LMArena Text10841395
LMArena Creative Writing10471346
LMArena Multi-Turn10501390

Frequently asked questions

Is Llama 2-13B better than Qwen3.5 35B-A3B?

Qwen3.5 35B-A3B is the stronger model overall, scoring 42.0 to 29.6 on the Noometry Index.

Is Llama 2-13B or Qwen3.5 35B-A3B better for coding?

Qwen3.5 35B-A3B scores higher on coding benchmarks: 33.8 versus 30.9 in the Noometry coding category.

How many benchmarks do Llama 2-13B and Qwen3.5 35B-A3B share?

20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3.5 35B-A3B has 28.

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