Model comparison
GPT-4.1 nano vs Nemotron 3 Super
Nemotron 3 Super is the stronger model overall, scoring 40.1 to 27.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GPT-4.1 nano scores higher in 0 categories and Nemotron 3 Super in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Nemotron 3 Super leads 41.5 to 23.7.
- The biggest single-benchmark swing is WeirdML: 19% for GPT-4.1 nano and 38% for Nemotron 3 Super.
- Both cost about the same: $0.10 input and $0.40 output per million tokens.
- GPT-4.1 nano accepts more context: 1.05M tokens versus 262K.
- Nemotron 3 Super has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 nano | Nemotron 3 Super | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 27.9 | 40.1 |
| Released | 2025-04-14 | 2026-03-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.10 | $0.08 |
| Output $ / M tokens | $0.40 | $0.45 |
| Results tracked | 38 | 21 |
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Category by category
Coding Nemotron 3 Super leads
GPT-4.1 nano: 24.1 (#330), Nemotron 3 Super: 39.4 (#158)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| SciCode | 25.9% | 36% |
| WeirdML | 19% | 38% |
| LMArena Coding | 1306 | 1403 |
| Aider Polyglot | 8.9% | — |
| ALE-Bench | — | 213.9 |
Agentic & Tool Use Not comparable
GPT-4.1 nano: 26.5 (#104), Nemotron 3 Super: —
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| Berkeley Function Calling Leaderboard | 33% | — |
Reasoning Nemotron 3 Super leads
GPT-4.1 nano: 8.5 (#349), Nemotron 3 Super: 18.7 (#276)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| CritPt | 0% | 3.1% |
| LMArena Hard Prompts | 1286 | 1386 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 33.3% | — |
| NYT Connections (extended) | — | 15.4% |
| ARC-AGI-1 | 0% | — |
| DTBench | 52.5% | — |
| LMCA | 5.5% | — |
| Epoch Capabilities Index | 129.62 | — |
Math Nemotron 3 Super leads
GPT-4.1 nano: 26.9 (#252), Nemotron 3 Super: 39.6 (#101)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1274 | 1380 |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 28.9% | — |
| Omni-MATH | 36.7% | — |
| MATH Level 5 | 70% | — |
| FrontierMath (Feb 2025 set) | 1% | — |
Knowledge Nemotron 3 Super leads
GPT-4.1 nano: 21.8 (#273), Nemotron 3 Super: 38.9 (#139)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1272 | 1398 |
| GPQA Diamond | 48.9% | — |
| SimpleQA Verified | 6% | — |
| MMLU-Pro | 55% | — |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
GPT-4.1 nano: 29.2 (#113), Nemotron 3 Super: —
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| LMArena Vision | 1063 | — |
Multilingual Nemotron 3 Super leads
GPT-4.1 nano: 41.6 (#205), Nemotron 3 Super: 48.4 (#144)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1260 | 1355 |
| LMArena Chinese | 1270 | 1432 |
| LMArena German | 1288 | 1341 |
| LMArena Russian | 1261 | 1336 |
| LMArena French | — | 1405 |
| LMArena Japanese | 1198 | — |
| LMArena Spanish | — | 1417 |
Instruction Following Nemotron 3 Super leads
GPT-4.1 nano: 67.8 (#193), Nemotron 3 Super: 71.2 (#154)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1267 | 1347 |
| IFEval | 84.3% | — |
Long Context Nemotron 3 Super leads
GPT-4.1 nano: 23.7 (#296), Nemotron 3 Super: 41.5 (#139)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1283 | 1362 |
| Fiction.LiveBench | 25% | — |
Writing & Preference Nemotron 3 Super leads
GPT-4.1 nano: 40.5 (#243), Nemotron 3 Super: 55.9 (#140)
| Benchmark | GPT-4.1 nano | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1285 | 1378 |
| LMArena Creative Writing | 1260 | 1317 |
| LMArena Multi-Turn | 1277 | 1369 |
| EQ-Bench Creative Writing | 946 | — |
| WildBench | 81.2% | — |
Frequently asked questions
Is GPT-4.1 nano better than Nemotron 3 Super?
Nemotron 3 Super is the stronger model overall, scoring 40.1 to 27.9 on the Noometry Index.
Which is cheaper, GPT-4.1 nano 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; GPT-4.1 nano lists at $0.10 and $0.40.
Is GPT-4.1 nano or Nemotron 3 Super better for coding?
Nemotron 3 Super scores higher on coding benchmarks: 39.4 versus 24.1 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 nano does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 nano and Nemotron 3 Super share?
16 benchmarks have published results for both models. GPT-4.1 nano has 38 scored results on Noometry and Nemotron 3 Super has 21.