Model comparison
Claude Opus 4.7 vs Nemotron 3 Super
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 40.1 on the Noometry Index. Nemotron 3 Super costs 58× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
NVIDIASummary
- They share 21 benchmarks with published results for both. Claude Opus 4.7 scores higher in 8 categories and Nemotron 3 Super in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.7 leads 53.8 to 18.7.
- The biggest single-benchmark swing is WeirdML: 76.4% for Claude Opus 4.7 and 38% for Nemotron 3 Super.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $5 / $25 for Claude Opus 4.7.
- Claude Opus 4.7 accepts more context: 1M tokens versus 262K.
- Nemotron 3 Super has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.7 | Nemotron 3 Super | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 58.3 | 40.1 |
| Released | 2026-04-14 | 2026-03-11 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 131K |
| Input $ / M tokens | $5 | $0.08 |
| Output $ / M tokens | $25 | $0.45 |
| Results tracked | 66 | 21 |
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Category by category
Coding Claude Opus 4.7 leads
Claude Opus 4.7: 59.6 (#13), Nemotron 3 Super: 39.4 (#158)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| SciCode | 54.5% | 36% |
| WeirdML | 76.4% | 38% |
| LMArena Coding | 1518 | 1403 |
| ALE-Bench | 1,323 | 213.9 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1558 | — |
| GSO | 44.1% | — |
| MirrorCode | 31.1% | — |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#10), Nemotron 3 Super: —
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| 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), Nemotron 3 Super: 18.7 (#276)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| NYT Connections (extended) | 39% | 15.4% |
| CritPt | 12% | 3.1% |
| LMArena Hard Prompts | 1506 | 1386 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| ARC-AGI-1 | 93.5% | — |
| 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), Nemotron 3 Super: 39.6 (#101)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| MathArena Final-Answer Competitions | 73.6% | 60.4% |
| LMArena Math | 1499 | 1380 |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| 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), Nemotron 3 Super: 38.9 (#139)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1521 | 1398 |
| 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), Nemotron 3 Super: —
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| 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), Nemotron 3 Super: 48.4 (#144)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1480 | 1355 |
| LMArena Chinese | 1531 | 1432 |
| LMArena French | 1503 | 1405 |
| LMArena German | 1495 | 1341 |
| LMArena Russian | 1494 | 1336 |
| LMArena Spanish | 1495 | 1417 |
| LMArena Japanese | 1472 | — |
| LMArena Korean | 1464 | — |
Instruction Following Claude Opus 4.7 leads
Claude Opus 4.7: 78.4 (#10), Nemotron 3 Super: 71.2 (#154)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1498 | 1347 |
Long Context Claude Opus 4.7 leads
Claude Opus 4.7: 46.2 (#25), Nemotron 3 Super: 41.5 (#139)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1505 | 1362 |
Writing & Preference Claude Opus 4.7 leads
Claude Opus 4.7: 75.1 (#8), Nemotron 3 Super: 55.9 (#140)
| Benchmark | Claude Opus 4.7 | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1490 | 1378 |
| LMArena Creative Writing | 1486 | 1317 |
| LMArena Multi-Turn | 1505 | 1369 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
Frequently asked questions
Is Claude Opus 4.7 better than Nemotron 3 Super?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 40.1 on the Noometry Index. Nemotron 3 Super costs 58× less per token, which makes it the better buy when Claude Opus 4.7's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.7 or Nemotron 3 Super?
Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; Claude Opus 4.7 lists at $5 and $25.
Is Claude Opus 4.7 or Nemotron 3 Super better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 39.4 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.7 does, with 1M tokens against 262K.
How many benchmarks do Claude Opus 4.7 and Nemotron 3 Super share?
21 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Nemotron 3 Super has 21.