Model comparison
Llama 3.1-405B vs Qwen3.5 27B
Qwen3.5 27B is the stronger model overall, scoring 41.9 to 30.7 on the Noometry Index.
Last verified . 19 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Llama 3.1-405B scores higher in 0 categories and Qwen3.5 27B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.5 27B leads 38.8 to 18.4.
- The biggest single-benchmark swing is DTBench: 61.4% for Llama 3.1-405B and 82.4% for Qwen3.5 27B.
Side by side
| Llama 3.1-405B | Qwen3.5 27B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.7 | 41.9 |
| Released | 2024-07-23 | 2026-02-23 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $2.40 |
| Results tracked | 42 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.5 27B leads
Llama 3.1-405B: 33.1 (#262), Qwen3.5 27B: 38.9 (#168)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| WeirdML | 21.4% | 39.5% |
| LMArena Coding | 1291 | 1427 |
| LMArena WebDev | — | 1358 |
| ALE-Bench | — | 349.45 |
Agentic & Tool Use Not comparable
Llama 3.1-405B: 21.0 (#140), Qwen3.5 27B: —
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
| Vending-Bench 2 | — | 201.98 |
Reasoning Qwen3.5 27B leads
Llama 3.1-405B: 16.8 (#300), Qwen3.5 27B: 27.5 (#117)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Hard Prompts | 1269 | 1414 |
| DTBench | 61.4% | 82.4% |
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| NYT Connections (extended) | — | 47.9% |
| Thematic Generalization | — | 45.5% |
| LMCA | — | 34% |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.75 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |
Math Qwen3.5 27B leads
Llama 3.1-405B: 18.4 (#290), Qwen3.5 27B: 38.8 (#127)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Math | 1281 | 1429 |
| MathArena Final-Answer Competitions | — | 56.7% |
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| MATH Level 5 | 49.8% | — |
Knowledge Qwen3.5 27B leads
Llama 3.1-405B: 30.4 (#227), Qwen3.5 27B: 38.0 (#150)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Expert | 1243 | 1428 |
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| Vectara Hallucination Rate | — | 12.1% |
| GPQA (HELM) | 52.2% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 84.5% | — |
| TriviaQA | 82.7% | — |
Multimodal Not comparable
Llama 3.1-405B: —, Qwen3.5 27B: 39.4 (#59)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Vision | — | 1241 |
Multilingual Qwen3.5 27B leads
Llama 3.1-405B: 40.7 (#214), Qwen3.5 27B: 50.8 (#115)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Non-English | 1248 | 1390 |
| LMArena Chinese | 1242 | 1478 |
| LMArena French | 1279 | 1410 |
| LMArena German | 1252 | 1393 |
| LMArena Japanese | 1208 | 1345 |
| LMArena Korean | 1184 | 1358 |
| LMArena Russian | 1265 | 1390 |
| LMArena Spanish | 1260 | 1407 |
Instruction Following Qwen3.5 27B leads
Llama 3.1-405B: 65.9 (#214), Qwen3.5 27B: 73.5 (#119)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Instruction Following | 1259 | 1393 |
| IFEval | 81.1% | — |
Long Context Qwen3.5 27B leads
Llama 3.1-405B: 38.4 (#197), Qwen3.5 27B: 43.1 (#106)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Longer Query | 1266 | 1413 |
Writing & Preference Qwen3.5 27B leads
Llama 3.1-405B: 38.9 (#251), Qwen3.5 27B: 59.3 (#111)
| Benchmark | Llama 3.1-405B | Qwen3.5 27B |
|---|---|---|
| LMArena Text | 1284 | 1409 |
| LMArena Creative Writing | 1262 | 1362 |
| LMArena Multi-Turn | 1297 | 1410 |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
Frequently asked questions
Is Llama 3.1-405B better than Qwen3.5 27B?
Qwen3.5 27B is the stronger model overall, scoring 41.9 to 30.7 on the Noometry Index.
Is Llama 3.1-405B or Qwen3.5 27B better for coding?
Qwen3.5 27B scores higher on coding benchmarks: 38.9 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and Qwen3.5 27B share?
19 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Qwen3.5 27B has 28.