Model comparison
GPT-5.1 vs Nemotron 3 Super
GPT-5.1 is the stronger model overall, scoring 48.8 to 39.6 on the Noometry Index. Nemotron 3 Super costs 20× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
NVIDIASummary
- They share 19 benchmarks with published results for both. GPT-5.1 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 GPT-5.1 leads 39.9 to 17.9.
- The biggest single-benchmark swing is WeirdML: 60.8% for GPT-5.1 and 38% for Nemotron 3 Super.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $1.25 / $10 for GPT-5.1.
- GPT-5.1 accepts more context: 400K tokens versus 262K.
- Nemotron 3 Super has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1 | Nemotron 3 Super | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 48.8 | 39.6 |
| Released | 2025-11-13 | 2026-03-11 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $0.08 |
| Output $ / M tokens | $10 | $0.45 |
| Results tracked | 63 | 21 |
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Category by category
Coding GPT-5.1 leads
GPT-5.1: 46.9 (#59), Nemotron 3 Super: 38.9 (#153)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| SciCode | 43.3% | 36% |
| WeirdML | 60.8% | 38% |
| LMArena Coding | 1454 | 1403 |
| ALE-Bench | 1,192 | 213.9 |
| SWE-bench Verified | 68% | — |
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1395 | — |
| GSO | 13.7% | — |
| LiveBench Coding | 72.5% | — |
Agentic & Tool Use Not comparable
GPT-5.1: 32.5 (#55), Nemotron 3 Super: —
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| Terminal-Bench | 47.6% | — |
| DeepResearch Bench | 42.8% | — |
| LMArena Search | 1199 | — |
| Vending-Bench 2 | 1,473 | — |
Reasoning GPT-5.1 leads
GPT-5.1: 39.9 (#50), Nemotron 3 Super: 17.9 (#274)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| CritPt | 4.9% | 3.1% |
| LMArena Hard Prompts | 1457 | 1386 |
| ARC-AGI-2 | 17.6% | — |
| SimpleBench | 53.2% | — |
| NYT Connections (extended) | — | 15.4% |
| ARC-AGI-1 | 72.8% | — |
| Chess Puzzles | 32% | — |
| EnigmaEval | 11.2% | — |
| LiveBench Reasoning | 95.8% | — |
| Mystery Game Puzzles | 19% | — |
| DTBench | 90.1% | — |
| LiveBench Data Analysis | 72.1% | — |
| LMCA | 43.9% | — |
| Epoch Capabilities Index | 149.66 | — |
| ForecastBench | 58.1 | — |
| LiveBench | 78.8% | — |
Math GPT-5.1 leads
GPT-5.1: 50.3 (#45), Nemotron 3 Super: 37.6 (#95)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1446 | 1381 |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 88.6% | — |
| Omni-MATH | 46.4% | — |
| LiveBench Math | 94.5% | — |
| FrontierMath (Feb 2025 set) | 31% | — |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GPT-5.1 leads
GPT-5.1: 50.5 (#65), Nemotron 3 Super: 38.2 (#136)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1470 | 1397 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 23.7% | — |
| SimpleQA Verified | 48% | — |
| MMLU-Pro | 57.9% | — |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | 44.2% | — |
Multimodal Not comparable
GPT-5.1: 44.0 (#17), Nemotron 3 Super: —
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| LMArena Vision | 1250 | — |
| VPCT | 58.7% | — |
| LMArena Document | 1403 | — |
Multilingual GPT-5.1 leads
GPT-5.1: 54.0 (#51), Nemotron 3 Super: 48.6 (#139)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1431 | 1356 |
| LMArena Chinese | 1495 | 1430 |
| LMArena French | 1451 | 1404 |
| LMArena German | 1439 | 1341 |
| LMArena Russian | 1435 | 1336 |
| LMArena Spanish | 1430 | 1417 |
| LMArena Japanese | 1453 | — |
| LMArena Korean | 1401 | — |
Instruction Following GPT-5.1 leads
GPT-5.1: 84.0 (#1), Nemotron 3 Super: 71.4 (#149)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1442 | 1347 |
| LiveBench Instruction Following | 93.3% | — |
| IFEval | 93.5% | — |
Long Context GPT-5.1 leads
GPT-5.1: 47.6 (#14), Nemotron 3 Super: 41.5 (#134)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1448 | 1362 |
| CL-bench | 23.7% | — |
| CL-bench Life | 17.3% | — |
Writing & Preference GPT-5.1 leads
GPT-5.1: 64.7 (#53), Nemotron 3 Super: 56.1 (#135)
| Benchmark | GPT-5.1 | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1443 | 1378 |
| LMArena Creative Writing | 1427 | 1317 |
| LMArena Multi-Turn | 1449 | 1369 |
| WildBench | 86.3% | — |
| LiveBench Language | 80.2% | — |
Frequently asked questions
Is GPT-5.1 better than Nemotron 3 Super?
GPT-5.1 is the stronger model overall, scoring 48.8 to 39.6 on the Noometry Index. Nemotron 3 Super costs 20× less per token, which makes it the better buy when GPT-5.1's lead doesn't matter for your workload.
Which is cheaper, GPT-5.1 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-5.1 lists at $1.25 and $10.
Is GPT-5.1 or Nemotron 3 Super better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.9 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.1 does, with 400K tokens against 262K.
How many benchmarks do GPT-5.1 and Nemotron 3 Super share?
19 benchmarks have published results for both models. GPT-5.1 has 63 scored results on Noometry and Nemotron 3 Super has 21.