Model comparison

Llama 3.1-405B vs Qwen3 32B

Qwen3 32B is the stronger model overall, scoring 38.8 to 30.4 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 3.1-405B Meta

30.4

Rank #279 Confirmed

Qwen3 32B Alibaba (Qwen)

38.8

Rank #166 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 3.1-405B scores higher in 0 categories and Qwen3 32B in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 32B leads 37.9 to 17.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 9.7% for Llama 3.1-405B and 66.9% for Qwen3 32B.

Side by side

Llama 3.1-405B and Qwen3 32B specifications
Llama 3.1-405BQwen3 32B
ProviderMetaAlibaba (Qwen)
Noometry Index30.438.8
Released2024-07-232025-04
WeightsOpenOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked4226

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Category by category

Coding Qwen3 32B leads

Llama 3.1-405B: 32.7 (#257), Qwen3 32B: 37.3 (#184)

Coding benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
LMArena Coding12911358
Aider Polyglot—40%
SciCode—35.4%
WeirdML21.4%—

Agentic & Tool Use Qwen3 32B leads

Llama 3.1-405B: 20.9 (#131), Qwen3 32B: 32.3 (#58)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
Berkeley Function Calling Leaderboard—48.7%
TheAgentCompany7.4%—
Cybench7.5%—

Reasoning Qwen3 32B leads

Llama 3.1-405B: 16.4 (#293), Qwen3 32B: 19.6 (#233)

Reasoning benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
Kagi LLM Benchmark45%54.9%
LMArena Hard Prompts12701335
DTBench61.4%67.5%
Epoch Capabilities Index128.76138.51
SimpleBench23%—
CritPt—0.3%
Chess Puzzles—5%
LMCA—17.3%
BIG-Bench Hard82.9%—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math Qwen3 32B leads

Llama 3.1-405B: 17.3 (#283), Qwen3 32B: 37.9 (#89)

Math benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
OTIS Mock AIME 2024-20259.7%66.9%
LMArena Math12811399
Omni-MATH24.9%—
MATH Level 549.8%—

Knowledge Qwen3 32B leads

Llama 3.1-405B: 30.4 (#221), Qwen3 32B: 40.0 (#112)

Knowledge benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
GPQA Diamond50.9%65.7%
LMArena Expert12431362
MMLU-Pro72.3%—
Confabulations17.6%—
Vectara Hallucination Rate—5.9%
GPQA (HELM)52.2%—
ARC (AI2) Challenge95.3%—
MMLU84.5%—
TriviaQA82.7%—

Multilingual Qwen3 32B leads

Llama 3.1-405B: 40.9 (#209), Qwen3 32B: 45.8 (#162)

Multilingual benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
LMArena Non-English12481317
LMArena Chinese12421357
LMArena German12521341
LMArena Russian12651311
LMArena French1278—
LMArena Japanese1208—
LMArena Korean1184—
LMArena Spanish1259—

Instruction Following Qwen3 32B leads

Llama 3.1-405B: 66.1 (#209), Qwen3 32B: 69.1 (#174)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
LMArena Instruction Following12591305
IFEval81.1%—

Long Context Qwen3 32B leads

Llama 3.1-405B: 38.4 (#192), Qwen3 32B: 43.7 (#83)

Long Context benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
LMArena Longer Query12661327
Fiction.LiveBench—74.2%

Writing & Preference Qwen3 32B leads

Llama 3.1-405B: 39.1 (#246), Qwen3 32B: 53.1 (#158)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BQwen3 32B
LMArena Text12841340
LMArena Creative Writing12621297
LMArena Multi-Turn12971331
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Qwen3 32B?

Qwen3 32B is the stronger model overall, scoring 38.8 to 30.4 on the Noometry Index.

Is Llama 3.1-405B or Qwen3 32B better for coding?

Qwen3 32B scores higher on coding benchmarks: 37.3 versus 32.7 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Qwen3 32B share?

18 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Qwen3 32B has 26.

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