Model comparison
Llama 3.1-405B vs Qwen2.5-Coder (1.5B)
Llama 3.1-405B has enough public results to be ranked (#288); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 5 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both.
Side by side
| Llama 3.1-405B | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.7 | — |
| Released | 2024-07-23 | 2024-09-18 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Llama 3.1-405B: 33.1 (#262), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| WeirdML | 21.4% | — |
| LMArena Coding | 1291 | — |
Agentic & Tool Use Not comparable
Llama 3.1-405B: 21.0 (#140), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
Reasoning Not comparable
Llama 3.1-405B: 16.8 (#300), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 128.75 | 113.14 |
| HellaSwag | 89.2% | 76.8% |
| WinoGrande | 89.2% | 72.9% |
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| LMArena Hard Prompts | 1269 | — |
| DTBench | 61.4% | — |
| BIG-Bench Hard | 82.9% | — |
| ForecastBench | 59.9 | — |
| PIQA | 85.9% | — |
Math Not comparable
Llama 3.1-405B: 18.4 (#290), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| LMArena Math | 1281 | — |
| MATH Level 5 | 49.8% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Llama 3.1-405B: 30.4 (#227), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| ARC (AI2) Challenge | 95.3% | 60.9% |
| MMLU | 84.5% | 68% |
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| GPQA (HELM) | 52.2% | — |
| LMArena Expert | 1243 | — |
| TriviaQA | 82.7% | — |
Multilingual Not comparable
Llama 3.1-405B: 40.7 (#214), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| 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 Not comparable
Llama 3.1-405B: 65.9 (#214), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| IFEval | 81.1% | — |
| LMArena Instruction Following | 1259 | — |
Long Context Not comparable
Llama 3.1-405B: 38.4 (#197), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1266 | — |
Writing & Preference Not comparable
Llama 3.1-405B: 38.9 (#251), Qwen2.5-Coder (1.5B): —
| Benchmark | Llama 3.1-405B | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1284 | — |
| LMArena Creative Writing | 1262 | — |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is Llama 3.1-405B better than Qwen2.5-Coder (1.5B)?
Llama 3.1-405B has enough public results to be ranked (#288); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Llama 3.1-405B and Qwen2.5-Coder (1.5B) share?
5 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.