Model comparison
Claude Sonnet 4.5 vs Llama 3.1 Nemotron Ultra 253b v1
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 36.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
NVIDIASummary
- They share 11 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 7 categories and Llama 3.1 Nemotron Ultra 253b v1 in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude Sonnet 4.5 leads 38.3 to 15.7.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 73.2% for Claude Sonnet 4.5 and 10% for Llama 3.1 Nemotron Ultra 253b v1.
- Llama 3.1 Nemotron Ultra 253b v1 has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 44.1 | 36.7 |
| Released | 2025-09-29 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 11 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Coding | 1489 | 1312 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 38.3 (#32), Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 73.2% | 10% |
| Terminal-Bench | 46.5% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Too close to call
Claude Sonnet 4.5: 26.9 (#125), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Hard Prompts | 1462 | 1316 |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Llama 3.1 Nemotron Ultra 253b v1 leads
Claude Sonnet 4.5: 32.3 (#216), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | 1449 | 1360 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Not comparable
Claude Sonnet 4.5: 48.4 (#76), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| LMArena Expert | 1482 | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | 1425 | 1282 |
| LMArena Russian | 1437 | 1284 |
| LMArena Chinese | 1459 | — |
| LMArena French | 1458 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | 1459 | 1308 |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#46), Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | 1476 | 1299 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | Claude Sonnet 4.5 | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | 1439 | 1320 |
| LMArena Creative Writing | 1442 | 1314 |
| LMArena Multi-Turn | 1465 | 1317 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Llama 3.1 Nemotron Ultra 253b v1?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 36.7 on the Noometry Index.
Is Claude Sonnet 4.5 or Llama 3.1 Nemotron Ultra 253b v1 better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 38.4 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.5 and Llama 3.1 Nemotron Ultra 253b v1 share?
11 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.