Model comparison
Llama 3.2 90B vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 27.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Llama 3.2 90B scores higher in 1 category and Qwen3.7 Max in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Max leads 62.3 to 10.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 2.6% for Llama 3.2 90B and 95.6% for Qwen3.7 Max.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.2 90B | Qwen3.7 Max | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 27.1 | 51.4 |
| Released | 2024-09-24 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 9 | 33 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, Qwen3.7 Max: 50.2 (#43)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| LMArena Coding | — | 1498 |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Llama 3.2 90B leads
Llama 3.2 90B: 29.7 (#73), Qwen3.7 Max: 21.8 (#129)
Reasoning Qwen3.7 Max leads
Llama 3.2 90B: 20.9 (#207), Qwen3.7 Max: 48.4 (#36)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| Epoch Capabilities Index | 125.5 | 153.74 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EnigmaEval | 0.4% | — |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
Math Qwen3.7 Max leads
Llama 3.2 90B: 10.4 (#302), Qwen3.7 Max: 62.3 (#26)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| ProofBench | — | 26% |
| LMArena Math | — | 1488 |
| MATH Level 5 | 39.4% | — |
Knowledge Qwen3.7 Max leads
Llama 3.2 90B: 21.7 (#269), Qwen3.7 Max: 61.7 (#24)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 41% | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
| MMLU | 80.3% | — |
Multimodal Not comparable
Llama 3.2 90B: 24.9 (#119), Qwen3.7 Max: —
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Llama 3.2 90B: —, Qwen3.7 Max: 57.1 (#13)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1475 |
| LMArena Chinese | — | 1533 |
| LMArena Russian | — | 1482 |
Instruction Following Not comparable
Llama 3.2 90B: —, Qwen3.7 Max: 76.9 (#34)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |
Long Context Not comparable
Llama 3.2 90B: —, Qwen3.7 Max: 45.4 (#34)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1484 |
Writing & Preference Not comparable
Llama 3.2 90B: —, Qwen3.7 Max: 65.2 (#52)
| Benchmark | Llama 3.2 90B | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1450 |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1482 |
Frequently asked questions
Is Llama 3.2 90B better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 27.1 on the Noometry Index.
How many benchmarks do Llama 3.2 90B and Qwen3.7 Max share?
3 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Qwen3.7 Max has 33.