Model comparison
Claude Sonnet 4.6 vs Llama 3.1 Nemotron Ultra 253b v1
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 36.7 on the Noometry Index.
Last verified . 10 shared benchmarks.
NVIDIASummary
- They share 10 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Llama 3.1 Nemotron Ultra 253b v1 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude Sonnet 4.6 leads 39.1 to 15.7.
- Llama 3.1 Nemotron Ultra 253b v1 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 50.3 | 36.7 |
| Released | 2026-02-17 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 57 | 11 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Coding | 1504 | 1312 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#28), Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| Berkeley Function Calling Leaderboard | — | 10% |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Hard Prompts | 1484 | 1316 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | 1462 | 1360 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Not comparable
Claude Sonnet 4.6: 51.7 (#65), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | 1440 | 1282 |
| LMArena Russian | 1440 | 1284 |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | 1475 | 1308 |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#44), Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | 1479 | 1299 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | Claude Sonnet 4.6 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | 1458 | 1320 |
| LMArena Creative Writing | 1435 | 1314 |
| LMArena Multi-Turn | 1464 | 1317 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Llama 3.1 Nemotron Ultra 253b v1?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 36.7 on the Noometry Index.
Is Claude Sonnet 4.6 or Llama 3.1 Nemotron Ultra 253b v1 better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 38.4 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and Llama 3.1 Nemotron Ultra 253b v1 share?
10 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.