Model comparison
Claude Opus 4.7 vs Llama 3.1 Nemotron 70b Instruct
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 37.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. Claude Opus 4.7 scores higher in 8 categories and Llama 3.1 Nemotron 70b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.7 leads 66.7 to 35.5.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 58.3 | 37.6 |
| Released | 2026-04-14 | 2024-12-18 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 66 | 14 |
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 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Coding | 1518 | 1272 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1558 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| BigCodeBench Instruct | — | 38.7% |
| MirrorCode | 31.1% | — |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 1,323 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#10), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| 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 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1266 |
| 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 Claude Opus 4.7 leads
Claude Opus 4.7: 66.7 (#26), Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | 1499 | 1271 |
| 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% | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 4.7 leads
Claude Opus 4.7: 62.6 (#23), Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | 1521 | 1242 |
| GPQA Diamond | 90.2% | — |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
Multimodal Not comparable
Claude Opus 4.7: 41.2 (#38), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| 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 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | 1480 | 1245 |
| LMArena Chinese | 1531 | 1263 |
| LMArena Russian | 1494 | 1227 |
| 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 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1498 | 1252 |
Long Context Claude Opus 4.7 leads
Claude Opus 4.7: 46.2 (#25), Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1505 | 1238 |
Writing & Preference Claude Opus 4.7 leads
Claude Opus 4.7: 75.1 (#8), Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | Claude Opus 4.7 | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | 1490 | 1283 |
| LMArena Creative Writing | 1486 | 1269 |
| LMArena Multi-Turn | 1505 | 1275 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
Frequently asked questions
Is Claude Opus 4.7 better than Llama 3.1 Nemotron 70b Instruct?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 37.6 on the Noometry Index.
Is Claude Opus 4.7 or Llama 3.1 Nemotron 70b Instruct better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 35.9 in the Noometry coding category.
How many benchmarks do Claude Opus 4.7 and Llama 3.1 Nemotron 70b Instruct share?
12 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.