Model comparison
Claude Opus 4.7 vs Llama 3.3 Nemotron 49b Super v1
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 40.1 on the Noometry Index.
Last verified . 10 shared benchmarks.
NVIDIASummary
- They share 10 benchmarks with published results for both. Claude Opus 4.7 scores higher in 6 categories and Llama 3.3 Nemotron 49b Super v1 in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.7 leads 53.8 to 26.2.
- Llama 3.3 Nemotron 49b Super v1 has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 58.3 | 40.1 |
| Released | 2026-04-14 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 66 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Opus 4.7 leads
Claude Opus 4.7: 59.6 (#13), Llama 3.3 Nemotron 49b Super v1: 37.9 (#186)
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Coding | 1518 | 1296 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1558 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| MirrorCode | 31.1% | — |
| ALE-Bench | 1,323 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#10), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |
Reasoning Claude Opus 4.7 leads
Claude Opus 4.7: 53.8 (#29), Llama 3.3 Nemotron 49b Super v1: 26.2 (#135)
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1311 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| NYT Connections (extended) | 39% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |
| DTBench | 94.7% | — |
| LMCA | 52.2% | — |
| Epoch Capabilities Index | 156.25 | — |
| ForecastBench | 60.3 | — |
Math Not comparable
Claude Opus 4.7: 66.7 (#26), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 54% | — |
| LMArena Math | 1499 | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Not comparable
Claude Opus 4.7: 62.6 (#23), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| GPQA Diamond | 90.2% | — |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
| LMArena Expert | 1521 | — |
Multimodal Not comparable
Claude Opus 4.7: 41.2 (#38), Llama 3.3 Nemotron 49b Super v1: —
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Vision | 1316 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
Multilingual Claude Opus 4.7 leads
Claude Opus 4.7: 57.3 (#10), Llama 3.3 Nemotron 49b Super v1: 41.1 (#211)
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Non-English | 1480 | 1253 |
| LMArena Chinese | 1531 | 1277 |
| LMArena Russian | 1494 | 1269 |
| LMArena French | 1503 | — |
| LMArena German | 1495 | — |
| LMArena Japanese | 1472 | — |
| LMArena Korean | 1464 | — |
| LMArena Spanish | 1495 | — |
Instruction Following Claude Opus 4.7 leads
Claude Opus 4.7: 78.4 (#10), Llama 3.3 Nemotron 49b Super v1: 68.3 (#189)
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Instruction Following | 1498 | 1293 |
Long Context Claude Opus 4.7 leads
Claude Opus 4.7: 46.2 (#25), Llama 3.3 Nemotron 49b Super v1: 39.5 (#176)
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Longer Query | 1505 | 1299 |
Writing & Preference Claude Opus 4.7 leads
Claude Opus 4.7: 75.1 (#8), Llama 3.3 Nemotron 49b Super v1: 50.8 (#179)
| Benchmark | Claude Opus 4.7 | Llama 3.3 Nemotron 49b Super v1 |
|---|---|---|
| LMArena Text | 1490 | 1308 |
| LMArena Creative Writing | 1486 | 1288 |
| LMArena Multi-Turn | 1505 | 1315 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
Frequently asked questions
Is Claude Opus 4.7 better than Llama 3.3 Nemotron 49b Super v1?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 40.1 on the Noometry Index.
Is Claude Opus 4.7 or Llama 3.3 Nemotron 49b Super v1 better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 37.9 in the Noometry coding category.
How many benchmarks do Claude Opus 4.7 and Llama 3.3 Nemotron 49b Super v1 share?
10 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Llama 3.3 Nemotron 49b Super v1 has 10.