Model comparison
Llama 3-70B vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 28.8 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Qwen3.8 Max in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 100% for Qwen3.8 Max.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-70B | Qwen3.8 Max | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 56.8 |
| Released | 2024-04-18 | 2026-08-02 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 31 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Llama 3-70B: 35.8 (#218), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1206 | 1502 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Qwen3.8 Max leads
Llama 3-70B: 21.1 (#139), Qwen3.8 Max: 45.4 (#14)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| Cybench | 5% | — |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Llama 3-70B: 18.0 (#288), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1496 |
| DTBench | 54.2% | 92% |
| Epoch Capabilities Index | 122.93 | 156.41 |
| Kagi LLM Benchmark | 35.1% | — |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 38% |
| LMCA | — | 46.2% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Qwen3.8 Max leads
Llama 3-70B: 12.8 (#305), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 100% |
| LMArena Math | 1218 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| MATH Level 5 | 22.6% | — |
Knowledge Qwen3.8 Max leads
Llama 3-70B: 20.8 (#277), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | 40.6% | 92.7% |
| LMArena Expert | 1149 | 1507 |
| SimpleQA Verified | — | 47.3% |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
Llama 3-70B: 33.6 (#251), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1142 | 1472 |
| LMArena Chinese | 1114 | 1538 |
| LMArena French | 1232 | 1503 |
| LMArena German | 1169 | 1483 |
| LMArena Japanese | 1017 | 1467 |
| LMArena Korean | 1017 | 1461 |
| LMArena Russian | 1159 | 1481 |
| LMArena Spanish | 1241 | 1492 |
Instruction Following Qwen3.8 Max leads
Llama 3-70B: 62.5 (#238), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1194 | 1479 |
Long Context Qwen3.8 Max leads
Llama 3-70B: 35.6 (#240), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1174 | 1489 |
Writing & Preference Qwen3.8 Max leads
Llama 3-70B: 42.8 (#231), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Llama 3-70B | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1221 | 1483 |
| LMArena Creative Writing | 1210 | 1479 |
| LMArena Multi-Turn | 1223 | 1489 |
Frequently asked questions
Is Llama 3-70B better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 28.8 on the Noometry Index.
Is Llama 3-70B or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Qwen3.8 Max share?
21 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3.8 Max has 39.