Model comparison
Llama 3-70B vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 28.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Qwen3.8 27B in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 27B leads 37.1 to 12.8.
- The biggest single-benchmark swing is DTBench: 54.2% for Llama 3-70B and 88% for Qwen3.8 27B.
Side by side
| Llama 3-70B | Qwen3.8 27B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 46.0 |
| Released | 2024-04-18 | 2026-08-14 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.99 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 31 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.8 27B leads
Llama 3-70B: 35.8 (#218), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1206 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Qwen3.8 27B leads
Llama 3-70B: 21.1 (#139), Qwen3.8 27B: 32.9 (#57)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
| Cybench | 5% | — |
Reasoning Qwen3.8 27B leads
Llama 3-70B: 18.0 (#288), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1460 |
| DTBench | 54.2% | 88% |
| Epoch Capabilities Index | 122.93 | 149.38 |
| ARC-AGI-2 | — | 42.4% |
| Kagi LLM Benchmark | 35.1% | — |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Qwen3.8 27B leads
Llama 3-70B: 12.8 (#305), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1218 | 1456 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| ProofBench | — | 16% |
| MATH Level 5 | 22.6% | — |
Knowledge Qwen3.8 27B leads
Llama 3-70B: 20.8 (#277), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1149 | 1482 |
| GPQA Diamond | 40.6% | — |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Qwen3.8 27B leads
Llama 3-70B: 33.6 (#251), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1142 | 1430 |
| LMArena Chinese | 1114 | 1504 |
| LMArena French | 1232 | 1465 |
| LMArena German | 1169 | 1438 |
| LMArena Japanese | 1017 | 1384 |
| LMArena Korean | 1017 | 1393 |
| LMArena Russian | 1159 | 1415 |
| LMArena Spanish | 1241 | 1448 |
Instruction Following Qwen3.8 27B leads
Llama 3-70B: 62.5 (#238), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1194 | 1439 |
Long Context Qwen3.8 27B leads
Llama 3-70B: 35.6 (#240), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1174 | 1450 |
Writing & Preference Qwen3.8 27B leads
Llama 3-70B: 42.8 (#231), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Llama 3-70B | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1221 | 1441 |
| LMArena Creative Writing | 1210 | 1384 |
| LMArena Multi-Turn | 1223 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
Frequently asked questions
Is Llama 3-70B better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 28.8 on the Noometry Index.
Is Llama 3-70B or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Qwen3.8 27B share?
19 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3.8 27B has 31.