Model comparison

Llama 3.1-405B vs Qwen2-72B

Llama 3.1-405B and Qwen2-72B score almost the same on the Noometry Index (30.4 vs 29.5), so choose on price, context window or the category you care about most.

Last verified . 23 shared benchmarks.

Llama 3.1-405B Meta

30.4

Rank #279 Confirmed

Qwen2-72B Alibaba (Qwen)

29.5

Rank #294 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Llama 3.1-405B scores higher in 6 categories and Qwen2-72B in 3 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen2-72B leads 27.9 to 17.3.
  • The biggest single-benchmark swing is MATH Level 5: 49.8% for Llama 3.1-405B and 39.1% for Qwen2-72B.

Side by side

Llama 3.1-405B and Qwen2-72B specifications
Llama 3.1-405BQwen2-72B
ProviderMetaAlibaba (Qwen)
Noometry Index30.429.5
Released2024-07-232024-06-07
WeightsOpenOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked4226

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Category by category

Coding Llama 3.1-405B leads

Llama 3.1-405B: 32.7 (#257), Qwen2-72B: 28.7 (#303)

Coding benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
WeirdML21.4%11.3%
LMArena Coding12911196
BigCodeBench Instruct—38.5%
BigCodeBench Complete—54%

Agentic & Tool Use Llama 3.1-405B leads

Llama 3.1-405B: 20.9 (#131), Qwen2-72B: 16.9 (#138)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
TheAgentCompany7.4%1.1%
Cybench7.5%—
METR Time Horizons—29.9%

Reasoning Qwen2-72B leads

Llama 3.1-405B: 16.4 (#293), Qwen2-72B: 22.2 (#184)

Reasoning benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
LMArena Hard Prompts12701191
Epoch Capabilities Index128.76125.27
SimpleBench23%—
Kagi LLM Benchmark45%—
DTBench61.4%—
BIG-Bench Hard82.9%—
ForecastBench59.9—
HellaSwag89.2%—
PIQA85.9%—
WinoGrande89.2%—

Math Qwen2-72B leads

Llama 3.1-405B: 17.3 (#283), Qwen2-72B: 27.9 (#232)

Math benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
LMArena Math12811235
MATH Level 549.8%39.1%
OTIS Mock AIME 2024-20259.7%—
Omni-MATH24.9%—

Knowledge Llama 3.1-405B leads

Llama 3.1-405B: 30.4 (#221), Qwen2-72B: 21.2 (#270)

Knowledge benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
GPQA Diamond50.9%40.8%
LMArena Expert12431171
MMLU84.5%82.4%
MMLU-Pro72.3%—
Confabulations17.6%—
GPQA (HELM)52.2%—
ARC (AI2) Challenge95.3%—
TriviaQA82.7%—

Multilingual Llama 3.1-405B leads

Llama 3.1-405B: 40.9 (#209), Qwen2-72B: 36.0 (#239)

Multilingual benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
LMArena Non-English12481176
LMArena Chinese12421240
LMArena French12781169
LMArena German12521151
LMArena Japanese12081111
LMArena Korean11841083
LMArena Russian12651169
LMArena Spanish12591168

Instruction Following Llama 3.1-405B leads

Llama 3.1-405B: 66.1 (#209), Qwen2-72B: 62.0 (#236)

Instruction Following benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
LMArena Instruction Following12591181
IFEval81.1%—

Long Context Llama 3.1-405B leads

Llama 3.1-405B: 38.4 (#192), Qwen2-72B: 36.1 (#230)

Long Context benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
LMArena Longer Query12661193

Writing & Preference Qwen2-72B leads

Llama 3.1-405B: 39.1 (#246), Qwen2-72B: 41.0 (#236)

Writing & Preference benchmarks
BenchmarkLlama 3.1-405BQwen2-72B
LMArena Text12841203
LMArena Creative Writing12621181
LMArena Multi-Turn12971195
EQ-Bench Creative Writing870—
WildBench78.3%—

Frequently asked questions

Is Llama 3.1-405B better than Qwen2-72B?

Llama 3.1-405B and Qwen2-72B score almost the same on the Noometry Index (30.4 vs 29.5), so choose on price, context window or the category you care about most.

Is Llama 3.1-405B or Qwen2-72B better for coding?

Llama 3.1-405B scores higher on coding benchmarks: 32.7 versus 28.7 in the Noometry coding category.

How many benchmarks do Llama 3.1-405B and Qwen2-72B share?

23 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Qwen2-72B has 26.

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