Model comparison
Llama 2-7B vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 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 Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 30.7.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 40% for Qwen3.8 Max.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Qwen3.8 Max | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.1 | 56.8 |
| Released | 2023-07-18 | 2026-08-02 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 29 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Llama 2-7B: 29.2 (#307), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1002 | 1502 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Qwen3.8 Max: 45.4 (#14)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Llama 2-7B: 15.7 (#312), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| Chess Puzzles | 0% | 40% |
| LMArena Hard Prompts | 1009 | 1496 |
| Epoch Capabilities Index | 99.06 | 156.41 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Qwen3.8 Max leads
Llama 2-7B: 30.7 (#233), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1042 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
| GSM8K | 16.7% | — |
Knowledge Qwen3.8 Max leads
Llama 2-7B: 28.2 (#248), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Expert | 1036 | 1507 |
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
| ScienceQA | 43.1% | — |
Multilingual Qwen3.8 Max leads
Llama 2-7B: 23.8 (#293), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 973 | 1472 |
| LMArena Chinese | 973 | 1538 |
| LMArena French | 970 | 1503 |
| LMArena German | 978 | 1483 |
| LMArena Russian | 995 | 1481 |
| LMArena Spanish | 1007 | 1492 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
Instruction Following Qwen3.8 Max leads
Llama 2-7B: 50.8 (#298), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1006 | 1479 |
Long Context Qwen3.8 Max leads
Llama 2-7B: 30.4 (#287), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 999 | 1489 |
Writing & Preference Qwen3.8 Max leads
Llama 2-7B: 28.0 (#298), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Llama 2-7B | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1053 | 1483 |
| LMArena Creative Writing | 1033 | 1479 |
| LMArena Multi-Turn | 1029 | 1489 |
Frequently asked questions
Is Llama 2-7B better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 29.1 on the Noometry Index.
Is Llama 2-7B or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen3.8 Max share?
17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3.8 Max has 39.