Model comparison
Llama 3.2 90B vs Qwen1.5 4b Chat
Qwen1.5 4b Chat is the stronger model overall, scoring 28.8 to 27.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen1.5 4b Chat leads 30.4 to 11.1.
Side by side
| Llama 3.2 90B | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 27.5 | 28.8 |
| Released | 2024-09-24 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 13 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | — | 999 |
Agentic & Tool Use Not comparable
Llama 3.2 90B: 30.0 (#80), Qwen1.5 4b Chat: —
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| BALROG | 27.3% | — |
Reasoning Llama 3.2 90B leads
Llama 3.2 90B: 21.7 (#217), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| EnigmaEval | 0.4% | — |
| LMArena Hard Prompts | — | 976 |
| Epoch Capabilities Index | 125.5 | — |
Math Qwen1.5 4b Chat leads
Llama 3.2 90B: 11.1 (#308), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | — |
| LMArena Math | — | 1026 |
| MATH Level 5 | 39.4% | — |
Knowledge Qwen1.5 4b Chat leads
Llama 3.2 90B: 21.7 (#274), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| GPQA Diamond | 41% | — |
| LMArena Expert | — | 980 |
| MMLU | 80.3% | — |
Multimodal Not comparable
Llama 3.2 90B: 25.4 (#124), Qwen1.5 4b Chat: —
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Multilingual Not comparable
Llama 3.2 90B: —, Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | — | 979 |
| LMArena Chinese | — | 1024 |
| LMArena German | — | 902 |
| LMArena Russian | — | 952 |
Instruction Following Not comparable
Llama 3.2 90B: —, Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | — | 978 |
Long Context Not comparable
Llama 3.2 90B: —, Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | — | 988 |
Writing & Preference Not comparable
Llama 3.2 90B: —, Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Llama 3.2 90B | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | — | 997 |
| LMArena Creative Writing | — | 969 |
| LMArena Multi-Turn | — | 977 |
Frequently asked questions
Is Llama 3.2 90B better than Qwen1.5 4b Chat?
Qwen1.5 4b Chat is the stronger model overall, scoring 28.8 to 27.5 on the Noometry Index.
How many benchmarks do Llama 3.2 90B and Qwen1.5 4b Chat share?
0 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Qwen1.5 4b Chat has 13.