Model comparison
Llama 2-7B vs Qwen3.5 Max Preview
Qwen3.5 Max Preview is the stronger model overall, scoring 44.7 to 28.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Qwen3.5 Max Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.5 Max Preview leads 66.1 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Qwen3.5 Max Preview | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.6 | 44.7 |
| Released | 2023-07-18 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 17 |
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Category by category
Coding Qwen3.5 Max Preview leads
Llama 2-7B: 28.7 (#302), Qwen3.5 Max Preview: 43.4 (#79)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Coding | 1002 | 1488 |
Reasoning Qwen3.5 Max Preview leads
Llama 2-7B: 15.1 (#309), Qwen3.5 Max Preview: 29.6 (#81)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1483 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 98.54 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Qwen3.5 Max Preview leads
Llama 2-7B: 28.2 (#231), Qwen3.5 Max Preview: 37.3 (#99)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Math | 1042 | 1473 |
| GSM8K | 16.7% | — |
Knowledge Qwen3.5 Max Preview leads
Llama 2-7B: 27.7 (#243), Qwen3.5 Max Preview: 41.1 (#104)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Expert | 1036 | 1489 |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Qwen3.5 Max Preview: —
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Qwen3.5 Max Preview leads
Llama 2-7B: 23.9 (#288), Qwen3.5 Max Preview: 56.4 (#21)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Non-English | 973 | 1465 |
| LMArena Chinese | 973 | 1534 |
| LMArena French | 969 | 1483 |
| LMArena German | 978 | 1487 |
| LMArena Russian | 995 | 1472 |
| LMArena Spanish | 1007 | 1470 |
| LMArena Japanese | — | 1497 |
| LMArena Korean | — | 1438 |
Instruction Following Qwen3.5 Max Preview leads
Llama 2-7B: 51.0 (#293), Qwen3.5 Max Preview: 77.2 (#28)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1006 | 1467 |
Long Context Qwen3.5 Max Preview leads
Llama 2-7B: 30.4 (#282), Qwen3.5 Max Preview: 45.2 (#44)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Longer Query | 999 | 1477 |
Writing & Preference Qwen3.5 Max Preview leads
Llama 2-7B: 28.1 (#293), Qwen3.5 Max Preview: 66.1 (#39)
| Benchmark | Llama 2-7B | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Text | 1053 | 1471 |
| LMArena Creative Writing | 1033 | 1464 |
| LMArena Multi-Turn | 1029 | 1478 |
Frequently asked questions
Is Llama 2-7B better than Qwen3.5 Max Preview?
Qwen3.5 Max Preview is the stronger model overall, scoring 44.7 to 28.6 on the Noometry Index.
Is Llama 2-7B or Qwen3.5 Max Preview better for coding?
Qwen3.5 Max Preview scores higher on coding benchmarks: 43.4 versus 28.7 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Qwen3.5 Max Preview share?
15 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Qwen3.5 Max Preview has 17.