Model comparison
Llama 3.1-405B vs Qwen2.5 7B Instruct
Llama 3.1-405B is the stronger model overall, scoring 30.7 to 29.0 on the Noometry Index.
Last verified . 10 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Llama 3.1-405B scores higher in 4 categories and Qwen2.5 7B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 17.0.
- The biggest single-benchmark swing is MMLU-Pro: 72.3% for Llama 3.1-405B and 53.9% for Qwen2.5 7B Instruct.
Side by side
| Llama 3.1-405B | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.7 | 29.0 |
| Released | 2024-07-23 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 42 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Llama 3.1-405B: 33.1 (#262), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| WeirdML | 21.4% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1291 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Qwen2.5 7B Instruct leads
Llama 3.1-405B: 21.0 (#140), Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
| BALROG | — | 7.8% |
Reasoning Llama 3.1-405B leads
Llama 3.1-405B: 16.8 (#300), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 61.4% | 47.7% |
| Epoch Capabilities Index | 128.75 | 118.51 |
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1269 | — |
| LMCA | — | 6.4% |
| BIG-Bench Hard | 82.9% | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |
Math Llama 3.1-405B leads
Llama 3.1-405B: 18.4 (#290), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 9.7% | 2.5% |
| Omni-MATH | 24.9% | 29.4% |
| LMArena Math | 1281 | — |
| MATH Level 5 | 49.8% | — |
Knowledge Llama 3.1-405B leads
Llama 3.1-405B: 30.4 (#227), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 50.9% | 35.5% |
| MMLU-Pro | 72.3% | 53.9% |
| GPQA (HELM) | 52.2% | 34.1% |
| MMLU | 84.5% | 72.9% |
| Confabulations | 17.6% | — |
| LMArena Expert | 1243 | — |
| ARC (AI2) Challenge | 95.3% | — |
| TriviaQA | 82.7% | — |
Multilingual Not comparable
Llama 3.1-405B: 40.7 (#214), Qwen2.5 7B Instruct: —
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1248 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1279 | — |
| LMArena German | 1252 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1265 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Llama 3.1-405B leads
Llama 3.1-405B: 65.9 (#214), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | 81.1% | 74.1% |
| LMArena Instruction Following | 1259 | — |
Long Context Not comparable
Llama 3.1-405B: 38.4 (#197), Qwen2.5 7B Instruct: —
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1266 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Llama 3.1-405B: 38.9 (#251), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Llama 3.1-405B | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | 78.3% | 73.1% |
| LMArena Text | 1284 | — |
| LMArena Creative Writing | 1262 | — |
| EQ-Bench Creative Writing | 870 | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is Llama 3.1-405B better than Qwen2.5 7B Instruct?
Llama 3.1-405B is the stronger model overall, scoring 30.7 to 29.0 on the Noometry Index.
Is Llama 3.1-405B or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and Qwen2.5 7B Instruct share?
10 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Qwen2.5 7B Instruct has 15.