Model comparison
Llama 2-70B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 24.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Llama 2-70B 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 knowledge, where Qwen3-Coder 480B-A35B Instruct leads 37.0 to 7.4.
Side by side
| Llama 2-70B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 24.4 | 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 | 35 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 31.4 (#286), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1079 | 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 2-70B: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 14.4 (#325), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.79 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 8.1 (#326), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1091 | 1365 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 7.4 (#310), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1039 | 1338 |
| GPQA Diamond | 26.3% | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 27.7 (#274), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1045 | 1346 |
| LMArena Chinese | 995 | 1357 |
| LMArena French | 1090 | 1398 |
| LMArena German | 1041 | 1325 |
| LMArena Japanese | 927 | 1310 |
| LMArena Korean | 964 | 1305 |
| LMArena Russian | 1083 | 1366 |
| LMArena Spanish | 1143 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 54.9 (#278), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1071 | 1355 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 32.3 (#270), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1062 | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Llama 2-70B: 32.3 (#279), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Llama 2-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1115 | 1357 |
| LMArena Creative Writing | 1075 | 1333 |
| LMArena Multi-Turn | 1088 | 1365 |
Frequently asked questions
Is Llama 2-70B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 24.4 on the Noometry Index.
Is Llama 2-70B or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 31.4 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Qwen3-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.