Model comparison
GPT-6 Sol vs Nemotron 3 Super
GPT-6 Sol is the stronger model overall, scoring 49.2 to 39.6 on the Noometry Index. Nemotron 3 Super costs 23× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
NVIDIASummary
- They share 14 benchmarks with published results for both. GPT-6 Sol scores higher in 7 categories and Nemotron 3 Super in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 17.9.
- The biggest single-benchmark swing is NYT Connections (extended): 90.1% for GPT-6 Sol and 15.4% for Nemotron 3 Super.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 262K.
- Nemotron 3 Super has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Nemotron 3 Super | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 49.2 | 39.6 |
| Released | 2026-09-22 | 2026-03-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 131K |
| Input $ / M tokens | $2 | $0.08 |
| Output $ / M tokens | $10 | $0.45 |
| Results tracked | 22 | 21 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 59.6 (#11), Nemotron 3 Super: 38.9 (#153)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| LMArena Coding | 1453 | 1403 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| LMArena WebDev | 1692 | — |
| SciCode | — | 36% |
| WeirdML | — | 38% |
| ALE-Bench | — | 213.9 |
Agentic & Tool Use Not comparable
GPT-6 Sol: 33.5 (#49), Nemotron 3 Super: —
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| GDP.pdf | 28% | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 49.3 (#34), Nemotron 3 Super: 17.9 (#274)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| NYT Connections (extended) | 90.1% | 15.4% |
| LMArena Hard Prompts | 1420 | 1386 |
| CritPt | — | 3.1% |
| EBR-Bench | 53.3% | — |
Math Nemotron 3 Super leads
GPT-6 Sol: 35.8 (#135), Nemotron 3 Super: 37.6 (#95)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1404 | 1381 |
| MathArena Final-Answer Competitions | — | 60.4% |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 43.0 (#87), Nemotron 3 Super: 38.2 (#136)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1449 | 1397 |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#9), Nemotron 3 Super: —
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| Furniture Assembly | 58.3% | — |
Multilingual GPT-6 Sol leads
GPT-6 Sol: 51.0 (#113), Nemotron 3 Super: 48.6 (#139)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1389 | 1356 |
| LMArena Chinese | 1416 | 1430 |
| LMArena Russian | 1407 | 1336 |
| LMArena Spanish | 1377 | 1417 |
| LMArena French | — | 1404 |
| LMArena German | — | 1341 |
Instruction Following GPT-6 Sol leads
GPT-6 Sol: 74.4 (#97), Nemotron 3 Super: 71.4 (#149)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1406 | 1347 |
Long Context GPT-6 Sol leads
GPT-6 Sol: 43.2 (#100), Nemotron 3 Super: 41.5 (#134)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1415 | 1362 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 72.3 (#15), Nemotron 3 Super: 56.1 (#135)
| Benchmark | GPT-6 Sol | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1396 | 1378 |
| LMArena Creative Writing | 1392 | 1317 |
| LMArena Multi-Turn | 1405 | 1369 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Nemotron 3 Super?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 39.6 on the Noometry Index. Nemotron 3 Super costs 23× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6 Sol 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-6 Sol lists at $2 and $10.
Is GPT-6 Sol or Nemotron 3 Super better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6 Sol and Nemotron 3 Super share?
14 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Nemotron 3 Super has 21.