Model comparison
Llama 3-70B vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 28.8 on the Noometry Index.
Last verified . 18 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 37.6 to 12.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 35.1% for Llama 3-70B and 49.5% for Qwen3-Coder 480B-A35B Instruct.
Side by side
| Llama 3-70B | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 38.1 |
| Released | 2024-04-18 | 2025-04 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 66K |
| Input $ / M tokens | — | $1.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 31 | 25 |
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Category by category
Coding Too close to call
Llama 3-70B: 35.8 (#218), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1206 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 21.1 (#139), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Cybench | 5% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 18.0 (#288), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 49.5% |
| LMArena Hard Prompts | 1195 | 1372 |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.93 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 12.8 (#305), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1218 | 1365 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| MATH Level 5 | 22.6% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 20.8 (#277), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1149 | 1338 |
| GPQA Diamond | 40.6% | — |
| MMLU | 79.3% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 33.6 (#251), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1142 | 1346 |
| LMArena Chinese | 1114 | 1357 |
| LMArena French | 1232 | 1398 |
| LMArena German | 1169 | 1325 |
| LMArena Japanese | 1017 | 1310 |
| LMArena Korean | 1017 | 1305 |
| LMArena Russian | 1159 | 1366 |
| LMArena Spanish | 1241 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 62.5 (#238), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1194 | 1355 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 35.6 (#240), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1174 | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Llama 3-70B: 42.8 (#231), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Llama 3-70B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1221 | 1357 |
| LMArena Creative Writing | 1210 | 1333 |
| LMArena Multi-Turn | 1223 | 1365 |
Frequently asked questions
Is Llama 3-70B better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 28.8 on the Noometry Index.
Is Llama 3-70B or Qwen3-Coder 480B-A35B Instruct better for coding?
They score almost the same on coding (35.8 vs 35.5); test both on your own repository before choosing.
How many benchmarks do Llama 3-70B and Qwen3-Coder 480B-A35B Instruct share?
18 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.