Model comparison
Llama 3.2 90B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 27.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 37.6 to 11.1.
Side by side
| Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 27.5 | 38.1 |
| Released | 2024-09-24 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 9 | 25 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| LMArena Coding | — | 1412 |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Llama 3.2 90B leads
Llama 3.2 90B: 30.0 (#80), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| BALROG | 27.3% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Llama 3.2 90B: 21.7 (#217), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 49.5% |
| EnigmaEval | 0.4% | — |
| LMArena Hard Prompts | — | 1372 |
| Epoch Capabilities Index | 125.5 | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Llama 3.2 90B: 11.1 (#308), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | — |
| LMArena Math | — | 1365 |
| MATH Level 5 | 39.4% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Llama 3.2 90B: 21.7 (#274), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| GPQA Diamond | 41% | — |
| LMArena Expert | — | 1338 |
| MMLU | 80.3% | — |
Multimodal Not comparable
Llama 3.2 90B: 25.4 (#124), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Llama 3.2 90B: —, Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1346 |
| LMArena Chinese | — | 1357 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Russian | — | 1366 |
| LMArena Spanish | — | 1360 |
Instruction Following Not comparable
Llama 3.2 90B: —, Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1355 |
Long Context Not comparable
Llama 3.2 90B: —, Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1378 |
Writing & Preference Not comparable
Llama 3.2 90B: —, Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Llama 3.2 90B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1357 |
| LMArena Creative Writing | — | 1333 |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is Llama 3.2 90B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 27.5 on the Noometry Index.
How many benchmarks do Llama 3.2 90B and Qwen3-Coder 480B-A35B Instruct share?
0 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.