Model comparison
Llama 3.1 Nemotron Ultra 253b v1 vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 36.7 on the Noometry Index.
Last verified . 10 shared benchmarks.
NVIDIA
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Llama 3.1 Nemotron Ultra 253b v1 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 37.5.
- Llama 3.1 Nemotron Ultra 253b v1 has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max | |
|---|---|---|
| Provider | NVIDIA | Alibaba (Qwen) |
| Noometry Index | 36.7 | 56.8 |
| Released | — | 2026-08-02 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 11 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Coding | 1312 | 1502 |
| DeepSWE | — | 57.5% |
| LMArena WebDev | — | 1674 |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
Agentic & Tool Use Qwen3.8 Max leads
Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149), Qwen3.8 Max: 45.4 (#14)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| Berkeley Function Calling Leaderboard | 10% | — |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Hard Prompts | 1316 | 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 Ultra 253b v1: 37.5 (#152), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1360 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
Knowledge Not comparable
Llama 3.1 Nemotron Ultra 253b v1: —, Qwen3.8 Max: 61.7 (#27)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| LMArena Expert | — | 1507 |
Multimodal Not comparable
Llama 3.1 Nemotron Ultra 253b v1: —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1282 | 1472 |
| LMArena Russian | 1284 | 1481 |
| LMArena Chinese | — | 1538 |
| 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 Ultra 253b v1: 69.0 (#178), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1308 | 1479 |
Long Context Qwen3.8 Max leads
Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1299 | 1489 |
Writing & Preference Qwen3.8 Max leads
Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Llama 3.1 Nemotron Ultra 253b v1 | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1320 | 1483 |
| LMArena Creative Writing | 1314 | 1479 |
| LMArena Multi-Turn | 1317 | 1489 |
Frequently asked questions
Is Llama 3.1 Nemotron Ultra 253b v1 better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 36.7 on the Noometry Index.
Is Llama 3.1 Nemotron Ultra 253b v1 or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 38.4 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron Ultra 253b v1 and Qwen3.8 Max share?
10 benchmarks have published results for both models. Llama 3.1 Nemotron Ultra 253b v1 has 11 scored results on Noometry and Qwen3.8 Max has 39.