Model comparison
Claude 3.7 Sonnet vs Llama 3.1 Nemotron Ultra 253b v1
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 36.7 on the Noometry Index.
Last verified . 10 shared benchmarks.
NVIDIASummary
- They share 10 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 6 categories and Llama 3.1 Nemotron Ultra 253b v1 in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude 3.7 Sonnet leads 34.1 to 15.7.
- Llama 3.1 Nemotron Ultra 253b v1 has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 39.5 | 36.7 |
| Released | 2025-02-24 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 58 | 11 |
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Category by category
Coding Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 40.6 (#136), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Coding | 1361 | 1312 |
| SWE-bench Verified | 61% | — |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| GSO | 3.8% | — |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| METR Time Horizons | 60% | — |
Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads
Claude 3.7 Sonnet: 18.6 (#277), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1316 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| ARC-AGI-1 | 28.6% | — |
| EnigmaEval | 4.2% | — |
| LiveBench Reasoning | 87.8% | — |
| LiveBench Data Analysis | 74% | — |
| Epoch Capabilities Index | 141.16 | — |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Too close to call
Claude 3.7 Sonnet: 37.5 (#153), Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | 1337 | 1360 |
| OTIS Mock AIME 2024-2025 | 57.8% | — |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
Knowledge Not comparable
Claude 3.7 Sonnet: 39.8 (#130), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| GPQA Diamond | 79.7% | — |
| Humanity's Last Exam | 8% | — |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| GPQA (HELM) | 60.8% | — |
| LMArena Expert | 1321 | — |
Multimodal Not comparable
Claude 3.7 Sonnet: 33.7 (#95), Llama 3.1 Nemotron Ultra 253b v1: —
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Vision | 1169 | — |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| SpatialViz-Bench | 33.9% | — |
Multilingual Too close to call
Claude 3.7 Sonnet: 44.1 (#179), Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | 1296 | 1282 |
| LMArena Russian | 1311 | 1284 |
| LMArena Chinese | 1299 | — |
| LMArena French | 1303 | — |
| LMArena German | 1301 | — |
| LMArena Japanese | 1267 | — |
| LMArena Korean | 1249 | — |
| LMArena Spanish | 1298 | — |
Instruction Following Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 72.9 (#125), Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1308 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | 1373 | 1299 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 54.4 (#150), Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | Claude 3.7 Sonnet | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | 1314 | 1320 |
| LMArena Creative Writing | 1332 | 1314 |
| LMArena Multi-Turn | 1339 | 1317 |
| Short-Story Creative Writing | 81.1% | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | 81.4% | — |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Llama 3.1 Nemotron Ultra 253b v1?
Claude 3.7 Sonnet is the stronger model overall, scoring 39.5 to 36.7 on the Noometry Index.
Is Claude 3.7 Sonnet or Llama 3.1 Nemotron Ultra 253b v1 better for coding?
Claude 3.7 Sonnet scores higher on coding benchmarks: 40.6 versus 38.4 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Llama 3.1 Nemotron Ultra 253b v1 share?
10 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.