Model comparison
Llama 2-70B vs Qwen Max
Qwen Max is the stronger model overall, scoring 34.7 to 24.4 on the Noometry Index.
Last verified . 20 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Llama 2-70B scores higher in 1 category and Qwen Max in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen Max leads 30.3 to 7.4.
- The biggest single-benchmark swing is MATH Level 5: 3.3% for Llama 2-70B and 67.2% for Qwen Max.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-70B | Qwen Max | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 34.7 |
| Released | 2023-07-18 | 2024-04-03 |
| Weights | Open | Proprietary |
| Context window | — | 33K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.60 |
| Output $ / M tokens | — | $6.40 |
| Results tracked | 35 | 23 |
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Category by category
Coding Too close to call
Llama 2-70B: 31.4 (#286), Qwen Max: 30.7 (#292)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| LMArena Coding | 1079 | 1288 |
| Aider Polyglot | — | 21.8% |
Reasoning Qwen Max leads
Llama 2-70B: 14.4 (#325), Qwen Max: 25.1 (#151)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1269 |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.79 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Qwen Max leads
Llama 2-70B: 8.1 (#326), Qwen Max: 22.3 (#276)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 16.1% |
| LMArena Math | 1091 | 1275 |
| MATH Level 5 | 3.3% | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
| GSM8K | 69.6% | — |
Knowledge Qwen Max leads
Llama 2-70B: 7.4 (#310), Qwen Max: 30.3 (#228)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| GPQA Diamond | 26.3% | 56.1% |
| LMArena Expert | 1039 | 1248 |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Qwen Max leads
Llama 2-70B: 27.7 (#274), Qwen Max: 41.8 (#202)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| LMArena Non-English | 1045 | 1263 |
| LMArena Chinese | 995 | 1254 |
| LMArena French | 1090 | 1330 |
| LMArena German | 1041 | 1254 |
| LMArena Japanese | 927 | 1205 |
| LMArena Korean | 964 | 1142 |
| LMArena Russian | 1083 | 1274 |
| LMArena Spanish | 1143 | 1290 |
Instruction Following Qwen Max leads
Llama 2-70B: 54.9 (#278), Qwen Max: 66.5 (#208)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1071 | 1262 |
Long Context Qwen Max leads
Llama 2-70B: 32.3 (#270), Qwen Max: 39.4 (#180)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1062 | 1288 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference Qwen Max leads
Llama 2-70B: 32.3 (#279), Qwen Max: 47.8 (#205)
| Benchmark | Llama 2-70B | Qwen Max |
|---|---|---|
| LMArena Text | 1115 | 1282 |
| LMArena Creative Writing | 1075 | 1248 |
| LMArena Multi-Turn | 1088 | 1277 |
Frequently asked questions
Is Llama 2-70B better than Qwen Max?
Qwen Max is the stronger model overall, scoring 34.7 to 24.4 on the Noometry Index.
Is Llama 2-70B or Qwen Max better for coding?
They score almost the same on coding (31.4 vs 30.7); test both on your own repository before choosing.
How many benchmarks do Llama 2-70B and Qwen Max share?
20 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen Max has 23.