Model comparison
Llama 3-8B vs Qwen2-72B
Qwen2-72B is the stronger model overall, scoring 30.0 to 25.5 on the Noometry Index.
Last verified . 23 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 23 benchmarks with published results for both. Llama 3-8B scores higher in 1 category and Qwen2-72B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2-72B leads 30.2 to 8.8.
- The biggest single-benchmark swing is MATH Level 5: 6.1% for Llama 3-8B and 39.1% for Qwen2-72B.
Side by side
| Llama 3-8B | Qwen2-72B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 25.5 | 30.0 |
| Released | 2024-04-18 | 2024-06-07 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 26 |
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Category by category
Coding Llama 3-8B leads
Llama 3-8B: 31.0 (#289), Qwen2-72B: 29.1 (#310)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| BigCodeBench Instruct | 31.9% | 38.5% |
| LMArena Coding | 1152 | 1196 |
| BigCodeBench Complete | 36.9% | 54% |
| WeirdML | — | 11.3% |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3-8B: —, Qwen2-72B: 17.0 (#146)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
Llama 3-8B: 14.3 (#326), Qwen2-72B: 23.2 (#181)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1191 |
| Epoch Capabilities Index | 116.45 | 125.28 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Qwen2-72B leads
Llama 3-8B: 8.8 (#323), Qwen2-72B: 30.2 (#236)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| LMArena Math | 1151 | 1235 |
| MATH Level 5 | 6.1% | 39.1% |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
Knowledge Qwen2-72B leads
Llama 3-8B: 7.8 (#308), Qwen2-72B: 21.2 (#275)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| GPQA Diamond | 26.1% | 40.8% |
| LMArena Expert | 1113 | 1171 |
| MMLU | 68.8% | 82.4% |
| ARC (AI2) Challenge | 82.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Qwen2-72B leads
Llama 3-8B: 30.8 (#261), Qwen2-72B: 35.9 (#244)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| LMArena Non-English | 1098 | 1176 |
| LMArena Chinese | 1076 | 1240 |
| LMArena French | 1159 | 1170 |
| LMArena German | 1104 | 1151 |
| LMArena Japanese | 967 | 1111 |
| LMArena Korean | 1004 | 1083 |
| LMArena Russian | 1109 | 1169 |
| LMArena Spanish | 1173 | 1169 |
Instruction Following Qwen2-72B leads
Llama 3-8B: 58.4 (#260), Qwen2-72B: 61.7 (#241)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | 1127 | 1181 |
Long Context Qwen2-72B leads
Llama 3-8B: 34.2 (#251), Qwen2-72B: 36.1 (#235)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | 1128 | 1192 |
Writing & Preference Qwen2-72B leads
Llama 3-8B: 37.5 (#256), Qwen2-72B: 40.8 (#241)
| Benchmark | Llama 3-8B | Qwen2-72B |
|---|---|---|
| LMArena Text | 1166 | 1203 |
| LMArena Creative Writing | 1150 | 1181 |
| LMArena Multi-Turn | 1152 | 1196 |
Frequently asked questions
Is Llama 3-8B better than Qwen2-72B?
Qwen2-72B is the stronger model overall, scoring 30.0 to 25.5 on the Noometry Index.
Is Llama 3-8B or Qwen2-72B better for coding?
Llama 3-8B scores higher on coding benchmarks: 31.0 versus 29.1 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Qwen2-72B share?
23 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Qwen2-72B has 26.