Model comparison

Llama 2-13B vs Qwen3.5 122B-A10B

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 29.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 2-13B Meta

29.6

Rank #309 Confirmed

Qwen3.5 122B-A10B Alibaba (Qwen)

42.1

Rank #119 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Qwen3.5 122B-A10B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.5 122B-A10B leads 60.0 to 29.8.
  • The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 84.3% for Qwen3.5 122B-A10B.

Side by side

Llama 2-13B and Qwen3.5 122B-A10B specifications
Llama 2-13BQwen3.5 122B-A10B
ProviderMetaAlibaba (Qwen)
Noometry Index29.642.1
Released2023-07-182026-02-23
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.40
Output $ / M tokens—$3.20
Results tracked3227

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Qwen3.5 122B-A10B leads

Llama 2-13B: 30.9 (#291), Qwen3.5 122B-A10B: 39.1 (#162)

Coding benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Coding10621436
LMArena WebDev—1360
SciCode—35.6%

Reasoning Qwen3.5 122B-A10B leads

Llama 2-13B: 12.8 (#337), Qwen3.5 122B-A10B: 27.2 (#123)

Reasoning benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Hard Prompts10511421
DTBench42.2%84.3%
NYT Connections (extended)—51.7%
CritPt—0.9%
Chess Puzzles0%—
Thematic Generalization—51.2%
Mystery Game Puzzles—17%
LMCA—32.2%
BIG-Bench Hard58.2%—
Epoch Capabilities Index106.17—
HellaSwag80.7%—
LAMBADA76.5%—
PIQA80.8%—
WinoGrande72.8%—

Math Qwen3.5 122B-A10B leads

Llama 2-13B: 31.1 (#229), Qwen3.5 122B-A10B: 39.1 (#112)

Math benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Math10651432
GSM8K36.9%—

Knowledge Qwen3.5 122B-A10B leads

Llama 2-13B: 28.1 (#249), Qwen3.5 122B-A10B: 38.8 (#142)

Knowledge benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Expert10301432
Vectara Hallucination Rate—11.2%
ARC (AI2) Challenge60.3%—
BoolQ82.4%—
MMLU55.6%—
OpenBookQA57%—
TriviaQA79.6%—

Multimodal Not comparable

Llama 2-13B: —, Qwen3.5 122B-A10B: 39.6 (#57)

Multimodal benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Vision—1245
ScienceQA55.8%—

Multilingual Qwen3.5 122B-A10B leads

Llama 2-13B: 26.5 (#279), Qwen3.5 122B-A10B: 51.6 (#107)

Multilingual benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Non-English10241400
LMArena Chinese10011462
LMArena French10441442
LMArena German10091426
LMArena Japanese8941367
LMArena Korean9531352
LMArena Russian10551400
LMArena Spanish10871424

Instruction Following Qwen3.5 122B-A10B leads

Llama 2-13B: 53.3 (#287), Qwen3.5 122B-A10B: 73.8 (#115)

Instruction Following benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Instruction Following10451399

Long Context Qwen3.5 122B-A10B leads

Llama 2-13B: 32.3 (#269), Qwen3.5 122B-A10B: 43.0 (#109)

Long Context benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Longer Query10641410

Writing & Preference Qwen3.5 122B-A10B leads

Llama 2-13B: 29.8 (#289), Qwen3.5 122B-A10B: 60.0 (#105)

Writing & Preference benchmarks
BenchmarkLlama 2-13BQwen3.5 122B-A10B
LMArena Text10841417
LMArena Creative Writing10471368
LMArena Multi-Turn10501416

Frequently asked questions

Is Llama 2-13B better than Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the stronger model overall, scoring 42.1 to 29.6 on the Noometry Index.

Is Llama 2-13B or Qwen3.5 122B-A10B better for coding?

Qwen3.5 122B-A10B scores higher on coding benchmarks: 39.1 versus 30.9 in the Noometry coding category.

How many benchmarks do Llama 2-13B and Qwen3.5 122B-A10B share?

18 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3.5 122B-A10B has 27.

Related comparisons

Go deeper