Model comparison
Llama 3.2 90B vs Qwen-7B
Llama 3.2 90B has enough public results to be ranked (#331); Qwen-7B does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both.
Side by side
| Llama 3.2 90B | Qwen-7B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 27.5 | — |
| Released | 2024-09-24 | 2023-09-28 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 8 |
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Category by category
Agentic & Tool Use Not comparable
Llama 3.2 90B: 30.0 (#80), Qwen-7B: —
| Benchmark | Llama 3.2 90B | Qwen-7B |
|---|---|---|
| BALROG | 27.3% | — |
Reasoning Not comparable
Llama 3.2 90B: 21.7 (#217), Qwen-7B: —
| Benchmark | Llama 3.2 90B | Qwen-7B |
|---|---|---|
| Epoch Capabilities Index | 125.5 | 106.83 |
| EnigmaEval | 0.4% | — |
| BIG-Bench Hard | — | 45% |
| LAMBADA | — | 67.9% |
| PIQA | — | 77.9% |
Math Not comparable
Llama 3.2 90B: 11.1 (#308), Qwen-7B: —
| Benchmark | Llama 3.2 90B | Qwen-7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | — |
| MATH Level 5 | 39.4% | — |
| GSM8K | — | 51.7% |
Knowledge Not comparable
Llama 3.2 90B: 21.7 (#274), Qwen-7B: —
| Benchmark | Llama 3.2 90B | Qwen-7B |
|---|---|---|
| MMLU | 80.3% | 45% |
| GPQA Diamond | 41% | — |
| ARC (AI2) Challenge | — | 75.3% |
| BoolQ | — | 76.4% |
Multimodal Not comparable
Llama 3.2 90B: 25.4 (#124), Qwen-7B: —
| Benchmark | Llama 3.2 90B | Qwen-7B |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Frequently asked questions
Is Llama 3.2 90B better than Qwen-7B?
Llama 3.2 90B has enough public results to be ranked (#331); Qwen-7B does not yet, so treat this comparison as directional.
How many benchmarks do Llama 3.2 90B and Qwen-7B share?
2 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Qwen-7B has 8.