Model comparison
GPT-4.1 mini vs Nemotron 3 Super
Nemotron 3 Super is the stronger model overall, scoring 39.6 to 33.5 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Nemotron 3 Super in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Nemotron 3 Super leads 37.6 to 23.1.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini 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 mini | Nemotron 3 Super | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 33.5 | 39.6 |
| Released | 2025-04-14 | 2026-03-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.40 | $0.08 |
| Output $ / M tokens | $1.60 | $0.45 |
| Results tracked | 47 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Nemotron 3 Super leads
GPT-4.1 mini: 30.4 (#286), Nemotron 3 Super: 38.9 (#153)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| SciCode | 40.4% | 36% |
| WeirdML | 37.6% | 38% |
| LMArena Coding | 1367 | 1403 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
| ALE-Bench | — | 213.9 |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.0 (#52), Nemotron 3 Super: —
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Nemotron 3 Super leads
GPT-4.1 mini: 10.9 (#335), Nemotron 3 Super: 17.9 (#274)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| CritPt | 0% | 3.1% |
| LMArena Hard Prompts | 1349 | 1386 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| NYT Connections (extended) | — | 15.4% |
| ARC-AGI-1 | 3.5% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math Nemotron 3 Super leads
GPT-4.1 mini: 23.1 (#264), Nemotron 3 Super: 37.6 (#95)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1343 | 1381 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge Nemotron 3 Super leads
GPT-4.1 mini: 34.7 (#183), Nemotron 3 Super: 38.2 (#136)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1338 | 1397 |
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.2 (#77), Nemotron 3 Super: —
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Nemotron 3 Super leads
GPT-4.1 mini: 45.9 (#161), Nemotron 3 Super: 48.6 (#139)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1318 | 1356 |
| LMArena Chinese | 1329 | 1430 |
| LMArena French | 1357 | 1404 |
| LMArena German | 1349 | 1341 |
| LMArena Russian | 1324 | 1336 |
| LMArena Spanish | 1319 | 1417 |
| LMArena Japanese | 1291 | — |
| LMArena Korean | 1298 | — |
Instruction Following GPT-4.1 mini leads
GPT-4.1 mini: 73.9 (#113), Nemotron 3 Super: 71.4 (#149)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1332 | 1347 |
| IFEval | 90.4% | — |
Long Context Nemotron 3 Super leads
GPT-4.1 mini: 31.8 (#270), Nemotron 3 Super: 41.5 (#134)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1344 | 1362 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Nemotron 3 Super leads
GPT-4.1 mini: 48.8 (#193), Nemotron 3 Super: 56.1 (#135)
| Benchmark | GPT-4.1 mini | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1341 | 1378 |
| LMArena Creative Writing | 1300 | 1317 |
| LMArena Multi-Turn | 1354 | 1369 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than Nemotron 3 Super?
Nemotron 3 Super is the stronger model overall, scoring 39.6 to 33.5 on the Noometry Index.
Which is cheaper, GPT-4.1 mini 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 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or Nemotron 3 Super better for coding?
Nemotron 3 Super scores higher on coding benchmarks: 38.9 versus 30.4 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 262K.
How many benchmarks do GPT-4.1 mini and Nemotron 3 Super share?
18 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Nemotron 3 Super has 21.