Model comparison
Llama 2-13B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.3 to 29.8.
Side by side
| Llama 2-13B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 29.6 | 38.1 |
| Released | 2023-07-18 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 32 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 30.9 (#291), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1062 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 12.8 (#337), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 31.1 (#229), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1065 | 1365 |
| GSM8K | 36.9% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 28.1 (#249), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1030 | 1338 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 26.5 (#279), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1024 | 1346 |
| LMArena Chinese | 1001 | 1357 |
| LMArena French | 1044 | 1398 |
| LMArena German | 1009 | 1325 |
| LMArena Japanese | 894 | 1310 |
| LMArena Korean | 953 | 1305 |
| LMArena Russian | 1055 | 1366 |
| LMArena Spanish | 1087 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 53.3 (#287), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1045 | 1355 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 32.3 (#269), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1064 | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Llama 2-13B: 29.8 (#289), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Llama 2-13B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1084 | 1357 |
| LMArena Creative Writing | 1047 | 1333 |
| LMArena Multi-Turn | 1050 | 1365 |
Frequently asked questions
Is Llama 2-13B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 29.6 on the Noometry Index.
Is Llama 2-13B or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Qwen3-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.