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.
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 | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 27.5 | 31.9 |
| Released | 2024-09-24 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 9 | 43 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Llama 3.2 90B | Qwen2.5 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)
| Benchmark | Llama 3.2 90B | Qwen2.5 72B Instruct |
|---|---|---|
| BALROG | 27.3% | 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)
| Benchmark | Llama 3.2 90B | Qwen2.5 72B Instruct |
|---|---|---|
| Epoch Capabilities Index | 125.5 | 129 |
| EnigmaEval | 0.4% | — |
| 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)
| Benchmark | Llama 3.2 90B | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | 8.1% |
| MATH Level 5 | 39.4% | 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)
| Benchmark | Llama 3.2 90B | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | 41% | 49.1% |
| MMLU | 80.3% | 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: —
| Benchmark | Llama 3.2 90B | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Llama 3.2 90B: —, Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Llama 3.2 90B | Qwen2.5 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)
| Benchmark | Llama 3.2 90B | Qwen2.5 72B Instruct |
|---|---|---|
| IFEval | — | 80.6% |
| LMArena Instruction Following | — | 1254 |
Long Context Not comparable
Llama 3.2 90B: —, Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Llama 3.2 90B | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1282 |
Writing & Preference Not comparable
Llama 3.2 90B: —, Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Llama 3.2 90B | Qwen2.5 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.