Model comparison

Llama 3.2 90B vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct is the stronger model overall, scoring 31.9 to 27.5 on the Noometry Index.

Last verified . 6 shared benchmarks.

Llama 3.2 90B Meta

27.5

Rank #331 Confirmed

Qwen2.5 72B Instruct Alibaba (Qwen)

31.9

Rank #267 Confirmed

Summary

  • They share 6 benchmarks with published results for both. Llama 3.2 90B scores higher in 1 category and Qwen2.5 72B Instruct in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen2.5 72B Instruct leads 19.3 to 11.1.
  • The biggest single-benchmark swing is MATH Level 5: 39.4% for Llama 3.2 90B and 63.2% for Qwen2.5 72B Instruct.

Side by side

Llama 3.2 90B and Qwen2.5 72B Instruct specifications
Llama 3.2 90BQwen2.5 72B Instruct
ProviderMetaAlibaba (Qwen)
Noometry Index27.531.9
Released2024-09-242024-09
WeightsOpenOpen
Context window—131K
Max output—8K
Input $ / M tokens—$1.40
Output $ / M tokens—$5.60
Results tracked943

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

Category by category

Coding Not comparable

Llama 3.2 90B: —, Qwen2.5 72B Instruct: 33.2 (#260)

Coding benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
WeirdML—16%
BigCodeBench Instruct—45.8%
LMArena Coding—1292
BigCodeBench Complete—55.9%

Agentic & Tool Use Llama 3.2 90B leads

Llama 3.2 90B: 30.0 (#80), Qwen2.5 72B Instruct: 22.1 (#133)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
BALROG27.3%16.2%
TheAgentCompany—5.7%
METR Time Horizons—35.8%

Reasoning Too close to call

Llama 3.2 90B: 21.7 (#217), Qwen2.5 72B Instruct: 22.3 (#199)

Reasoning benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
Epoch Capabilities Index125.5129
EnigmaEval0.4%—
LMArena Hard Prompts—1271
DTBench—62.9%
LMCA—13.4%
BIG-Bench Hard—79.8%
ForecastBench—57.5
HellaSwag—84.8%
PIQA—82.6%
WinoGrande—82.3%

Math Qwen2.5 72B Instruct leads

Llama 3.2 90B: 11.1 (#308), Qwen2.5 72B Instruct: 19.3 (#287)

Math benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
OTIS Mock AIME 2024-20252.6%8.1%
MATH Level 539.4%63.2%
Omni-MATH—33%
LMArena Math—1283

Knowledge Qwen2.5 72B Instruct leads

Llama 3.2 90B: 21.7 (#274), Qwen2.5 72B Instruct: 27.0 (#253)

Knowledge benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
GPQA Diamond41%49.1%
MMLU80.3%85.3%
MMLU-Pro—63.1%
Confabulations—19.1%
GPQA (HELM)—42.6%
LMArena Expert—1245
ARC (AI2) Challenge—94.5%
TriviaQA—71.9%

Multimodal Not comparable

Llama 3.2 90B: 25.4 (#124), Qwen2.5 72B Instruct: —

Multimodal benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
LMArena Vision1000—
GeoBench52%—

Multilingual Not comparable

Llama 3.2 90B: —, Qwen2.5 72B Instruct: 41.0 (#213)

Multilingual benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
LMArena Non-English—1252
LMArena Chinese—1272
LMArena French—1280
LMArena German—1234
LMArena Japanese—1180
LMArena Korean—1188
LMArena Russian—1264
LMArena Spanish—1256

Instruction Following Not comparable

Llama 3.2 90B: —, Qwen2.5 72B Instruct: 65.5 (#221)

Instruction Following benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
IFEval—80.6%
LMArena Instruction Following—1254

Long Context Not comparable

Llama 3.2 90B: —, Qwen2.5 72B Instruct: 38.9 (#188)

Long Context benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
LMArena Longer Query—1282

Writing & Preference Not comparable

Llama 3.2 90B: —, Qwen2.5 72B Instruct: 46.7 (#215)

Writing & Preference benchmarks
BenchmarkLlama 3.2 90BQwen2.5 72B Instruct
LMArena Text—1269
LMArena Creative Writing—1221
WildBench—80.2%
LMArena Multi-Turn—1272

Frequently asked questions

Is Llama 3.2 90B better than Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct is the stronger model overall, scoring 31.9 to 27.5 on the Noometry Index.

How many benchmarks do Llama 3.2 90B and Qwen2.5 72B Instruct share?

6 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Qwen2.5 72B Instruct has 43.

Related comparisons

Go deeper