Model comparison
Claude Opus 4 vs Nemotron 3 Super
Claude Opus 4 is the stronger model overall, scoring 42.9 to 39.6 on the Noometry Index. Nemotron 3 Super costs 174× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
NVIDIASummary
- They share 17 benchmarks with published results for both. Claude Opus 4 scores higher in 7 categories and Nemotron 3 Super in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4 leads 27.4 to 17.9.
- The biggest single-benchmark swing is WeirdML: 43.7% for Claude Opus 4 and 38% for Nemotron 3 Super.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Nemotron 3 Super accepts more context: 262K tokens versus 200K.
- Nemotron 3 Super has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4 | Nemotron 3 Super | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 42.9 | 39.6 |
| Released | 2025-05-22 | 2026-03-11 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 32K | 131K |
| Input $ / M tokens | $15 | $0.08 |
| Output $ / M tokens | $75 | $0.45 |
| Results tracked | 56 | 21 |
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Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.8 (#55), Nemotron 3 Super: 38.9 (#153)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| WeirdML | 43.7% | 38% |
| LMArena Coding | 1442 | 1403 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| SciCode | — | 36% |
| GSO | 6.9% | — |
| ALE-Bench | — | 213.9 |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Not comparable
Claude Opus 4: 34.5 (#39), Nemotron 3 Super: —
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning Claude Opus 4 leads
Claude Opus 4: 27.4 (#104), Nemotron 3 Super: 17.9 (#274)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| CritPt | 0.3% | 3.1% |
| LMArena Hard Prompts | 1399 | 1386 |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| NYT Connections (extended) | — | 15.4% |
| ARC-AGI-1 | 35.7% | — |
| EnigmaEval | 5.6% | — |
| DTBench | 81.6% | — |
| LMCA | 37.4% | — |
| Epoch Capabilities Index | 142.67 | — |
| ForecastBench | 61.1 | — |
Math Claude Opus 4 leads
Claude Opus 4: 40.2 (#80), Nemotron 3 Super: 37.6 (#95)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1391 | 1381 |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 64.4% | — |
| Omni-MATH | 61.6% | — |
| MATH Level 5 | 85% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4 leads
Claude Opus 4: 43.9 (#82), Nemotron 3 Super: 38.2 (#136)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1384 | 1397 |
| GPQA Diamond | 76.3% | — |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
Multimodal Not comparable
Claude Opus 4: 30.9 (#101), Nemotron 3 Super: —
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual Too close to call
Claude Opus 4: 49.0 (#133), Nemotron 3 Super: 48.6 (#139)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1362 | 1356 |
| LMArena Chinese | 1386 | 1430 |
| LMArena French | 1370 | 1404 |
| LMArena German | 1391 | 1341 |
| LMArena Russian | 1392 | 1336 |
| LMArena Spanish | 1388 | 1417 |
| LMArena Japanese | 1332 | — |
| LMArena Korean | 1318 | — |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.3 (#26), Nemotron 3 Super: 71.4 (#149)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1406 | 1347 |
| IFEval | 91.8% | — |
Long Context Nemotron 3 Super leads
Claude Opus 4: 39.5 (#167), Nemotron 3 Super: 41.5 (#134)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1422 | 1362 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference Claude Opus 4 leads
Claude Opus 4: 61.4 (#85), Nemotron 3 Super: 56.1 (#135)
| Benchmark | Claude Opus 4 | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1377 | 1378 |
| LMArena Creative Writing | 1386 | 1317 |
| LMArena Multi-Turn | 1396 | 1369 |
| Short-Story Creative Writing | 83.6% | — |
| EQ-Bench Creative Writing | 1580 | — |
| WildBench | 85.2% | — |
Frequently asked questions
Is Claude Opus 4 better than Nemotron 3 Super?
Claude Opus 4 is the stronger model overall, scoring 42.9 to 39.6 on the Noometry Index. Nemotron 3 Super costs 174× less per token, which makes it the better buy when Claude Opus 4's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4 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 lists at $15 and $75.
Is Claude Opus 4 or Nemotron 3 Super better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.8 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
Nemotron 3 Super does, with 262K tokens against 200K.
How many benchmarks do Claude Opus 4 and Nemotron 3 Super share?
17 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and Nemotron 3 Super has 21.