Model comparison
Llama 2-7B vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Qwen3 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3 Max leads 62.4 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Qwen3 Max | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 43.7 |
| Released | 2023-07-18 | 2025-09-23 |
| Weights | Open | Proprietary |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.20 |
| Output $ / M tokens | — | $6 |
| Results tracked | 29 | 33 |
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Category by category
Coding Qwen3 Max leads
Llama 2-7B: 29.2 (#307), Qwen3 Max: 43.0 (#93)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1002 | 1456 |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Qwen3 Max: —
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | — | 71.56 |
Reasoning Qwen3 Max leads
Llama 2-7B: 15.7 (#312), Qwen3 Max: 22.6 (#190)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| LMArena Hard Prompts | 1009 | 1448 |
| Epoch Capabilities Index | 99.06 | 142.38 |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Qwen3 Max leads
Llama 2-7B: 30.7 (#233), Qwen3 Max: 38.7 (#131)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| LMArena Math | 1042 | 1446 |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| MATH Level 5 | — | 97.1% |
| GSM8K | 16.7% | — |
Knowledge Qwen3 Max leads
Llama 2-7B: 28.2 (#248), Qwen3 Max: 48.1 (#78)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| LMArena Expert | 1036 | 1455 |
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen3 Max: —
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Qwen3 Max leads
Llama 2-7B: 23.8 (#293), Qwen3 Max: 53.7 (#62)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 973 | 1429 |
| LMArena Chinese | 973 | 1478 |
| LMArena French | 970 | 1449 |
| LMArena German | 978 | 1463 |
| LMArena Russian | 995 | 1428 |
| LMArena Spanish | 1007 | 1462 |
| LMArena Japanese | — | 1397 |
| LMArena Korean | — | 1399 |
Instruction Following Qwen3 Max leads
Llama 2-7B: 50.8 (#298), Qwen3 Max: 74.8 (#87)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1006 | 1419 |
Long Context Qwen3 Max leads
Llama 2-7B: 30.4 (#287), Qwen3 Max: 41.6 (#134)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 999 | 1438 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Llama 2-7B: 28.0 (#298), Qwen3 Max: 62.4 (#76)
| Benchmark | Llama 2-7B | Qwen3 Max |
|---|---|---|
| LMArena Text | 1053 | 1439 |
| LMArena Creative Writing | 1033 | 1402 |
| LMArena Multi-Turn | 1029 | 1446 |
Frequently asked questions
Is Llama 2-7B better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 29.1 on the Noometry Index.
Is Llama 2-7B or Qwen3 Max better for coding?
Qwen3 Max scores higher on coding benchmarks: 43.0 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen3 Max share?
17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3 Max has 33.