Model comparison
Llama 3.1 Nemotron 70b Instruct vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 35.5.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 37.6 | 56.8 |
| Released | 2024-12-18 | 2026-08-02 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 14 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1272 | 1502 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
| BigCodeBench Instruct | 38.7% | — |
| BigCodeBench Complete | 48.2% | — |
Agentic & Tool Use Not comparable
Llama 3.1 Nemotron 70b Instruct: —, Qwen3.8 Max: 45.4 (#14)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1496 |
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.41 |
Math Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1271 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
Knowledge Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Expert | 1242 | 1507 |
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
Multimodal Not comparable
Llama 3.1 Nemotron 70b Instruct: —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1245 | 1472 |
| LMArena Chinese | 1263 | 1538 |
| LMArena Russian | 1227 | 1481 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Spanish | — | 1492 |
Instruction Following Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1252 | 1479 |
Long Context Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1238 | 1489 |
Writing & Preference Qwen3.8 Max leads
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1283 | 1483 |
| LMArena Creative Writing | 1269 | 1479 |
| LMArena Multi-Turn | 1275 | 1489 |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 37.6 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 35.9 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Qwen3.8 Max share?
12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Qwen3.8 Max has 39.