Model comparison
Nemotron 3 Super vs o4-mini
o4-mini is the stronger model overall, scoring 41.6 to 40.1 on the Noometry Index. Nemotron 3 Super costs 11× less per token, which makes it the better buy when o4-mini's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
NVIDIASummary
- They share 18 benchmarks with published results for both. Nemotron 3 Super scores higher in 2 categories and o4-mini in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where o4-mini leads 24.6 to 18.7.
- The biggest single-benchmark swing is WeirdML: 38% for Nemotron 3 Super and 52.6% for o4-mini.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- 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
| Nemotron 3 Super | o4-mini | |
|---|---|---|
| Provider | NVIDIA | OpenAI |
| Noometry Index | 40.1 | 41.6 |
| Released | 2026-03-11 | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 131K | 100K |
| Input $ / M tokens | $0.08 | $1.10 |
| Output $ / M tokens | $0.45 | $4.40 |
| Results tracked | 21 | 60 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o4-mini leads
Nemotron 3 Super: 39.4 (#158), o4-mini: 40.9 (#127)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| WeirdML | 38% | 52.6% |
| LMArena Coding | 1403 | 1368 |
| ALE-Bench | 213.9 | 826.17 |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| SciCode | 36% | — |
| GSO | — | 3.6% |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |
Agentic & Tool Use Not comparable
Nemotron 3 Super: —, o4-mini: 32.6 (#61)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| METR Time Horizons | — | 63.9% |
Reasoning o4-mini leads
Nemotron 3 Super: 18.7 (#276), o4-mini: 24.6 (#162)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| CritPt | 3.1% | 0.6% |
| LMArena Hard Prompts | 1386 | 1351 |
| ARC-AGI-2 | — | 6.1% |
| SimpleBench | — | 38.7% |
| Kagi LLM Benchmark | — | 67.6% |
| NYT Connections (extended) | 15.4% | — |
| ARC-AGI-1 | — | 58.7% |
| Chess Puzzles | — | 26% |
| EnigmaEval | — | 9.2% |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 77.6% |
| LMCA | — | 26.5% |
| Epoch Capabilities Index | — | 145.64 |
| ForecastBench | — | 61.8 |
Math o4-mini leads
Nemotron 3 Super: 39.6 (#101), o4-mini: 40.8 (#89)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| LMArena Math | 1380 | 1389 |
| FrontierMath (Tiers 1-3) | — | 36.1% |
| FrontierMath Tier 4 | — | 4.9% |
| MathArena Final-Answer Competitions | 60.4% | — |
| OTIS Mock AIME 2024-2025 | — | 81.7% |
| Omni-MATH | — | 72% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 24.8% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge o4-mini leads
Nemotron 3 Super: 38.9 (#139), o4-mini: 43.6 (#91)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| LMArena Expert | 1398 | 1343 |
| GPQA Diamond | — | 79.6% |
| Humanity's Last Exam | — | 18.1% |
| SimpleQA Verified | — | 19.6% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| Vectara Hallucination Rate | — | 18.6% |
| GPQA (HELM) | — | 73.5% |
Multimodal Not comparable
Nemotron 3 Super: —, o4-mini: 40.2 (#49)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| LMArena Vision | — | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |
Multilingual Nemotron 3 Super leads
Nemotron 3 Super: 48.4 (#144), o4-mini: 47.0 (#154)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| LMArena Non-English | 1355 | 1337 |
| LMArena Chinese | 1432 | 1354 |
| LMArena French | 1405 | 1364 |
| LMArena German | 1341 | 1336 |
| LMArena Russian | 1336 | 1334 |
| LMArena Spanish | 1417 | 1347 |
| LMArena Japanese | — | 1308 |
| LMArena Korean | — | 1312 |
Instruction Following o4-mini leads
Nemotron 3 Super: 71.2 (#154), o4-mini: 75.2 (#68)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1347 | 1321 |
| IFEval | — | 92.8% |
Long Context o4-mini leads
Nemotron 3 Super: 41.5 (#139), o4-mini: 45.5 (#33)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| LMArena Longer Query | 1362 | 1315 |
| Fiction.LiveBench | — | 77.8% |
Writing & Preference Nemotron 3 Super leads
Nemotron 3 Super: 55.9 (#140), o4-mini: 54.0 (#152)
| Benchmark | Nemotron 3 Super | o4-mini |
|---|---|---|
| LMArena Text | 1378 | 1353 |
| LMArena Creative Writing | 1317 | 1294 |
| LMArena Multi-Turn | 1369 | 1350 |
| Short-Story Creative Writing | — | 75% |
| WildBench | — | 85.4% |
Frequently asked questions
Is Nemotron 3 Super better than o4-mini?
o4-mini is the stronger model overall, scoring 41.6 to 40.1 on the Noometry Index. Nemotron 3 Super costs 11× less per token, which makes it the better buy when o4-mini's lead doesn't matter for your workload.
Which is cheaper, Nemotron 3 Super or o4-mini?
Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; o4-mini lists at $1.10 and $4.40.
Is Nemotron 3 Super or o4-mini better for coding?
o4-mini scores higher on coding benchmarks: 40.9 versus 39.4 in the Noometry coding category.
Which has the bigger context window?
Nemotron 3 Super does, with 262K tokens against 200K.
How many benchmarks do Nemotron 3 Super and o4-mini share?
18 benchmarks have published results for both models. Nemotron 3 Super has 21 scored results on Noometry and o4-mini has 60.