Model comparison
GPT-6 Sol vs Nemotron 3 Ultra
GPT-6 Sol is the stronger model overall, scoring 61.8 to 42.5 on the Noometry Index. Nemotron 3 Ultra costs 3.8× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
NVIDIASummary
- They share 28 benchmarks with published results for both. GPT-6 Sol scores higher in 6 categories and Nemotron 3 Ultra in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 35.3.
- The biggest single-benchmark swing is ProofBench: 83% for GPT-6 Sol and 2% for Nemotron 3 Ultra.
- Nemotron 3 Ultra is cheaper at $0.60 / $2.40 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 Ultra has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Nemotron 3 Ultra | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 61.8 | 42.5 |
| Released | 2026-09-22 | 2026-06-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 128K |
| Input $ / M tokens | $2 | $0.60 |
| Output $ / M tokens | $10 | $2.40 |
| Results tracked | 45 | 30 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Nemotron 3 Ultra: 38.1 (#182)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| FrontierCode | 49.3% | 13.6% |
| SciCode | 57.6% | 40.3% |
| LMArena Coding | 1447 | 1468 |
| DeepSWE | 68.8% | — |
| LMArena WebDev | 1688 | — |
| WeirdML | — | 43.5% |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use GPT-6 Sol leads
GPT-6 Sol: 37.2 (#36), Nemotron 3 Ultra: 23.4 (#126)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| APEX-Agents | 54.3% | 22.7% |
| GDP.pdf | 26.4% | — |
| Vending-Bench 2 | 14,428 | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Nemotron 3 Ultra: 31.0 (#82)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| CritPt | 30.9% | 3.1% |
| LMArena Hard Prompts | 1418 | 1452 |
| Mystery Game Puzzles | 56% | 20% |
| DTBench | 97.3% | 90.1% |
| LMCA | 59.1% | 36.9% |
| Epoch Capabilities Index | 162.72 | 146.17 |
| ARC-AGI-2 | 89.6% | — |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | — | 12% |
| EBR-Bench | 53.3% | — |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Nemotron 3 Ultra: 35.3 (#187)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 86.7% |
| ProofBench | 83% | 2% |
| LMArena Math | 1402 | 1457 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Nemotron 3 Ultra: 52.5 (#61)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| GPQA Diamond | 94.3% | 85.4% |
| LMArena Expert | 1439 | 1472 |
| SimpleQA Verified | 60.7% | — |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Nemotron 3 Ultra: —
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual Nemotron 3 Ultra leads
GPT-6 Sol: 50.5 (#118), Nemotron 3 Ultra: 53.5 (#64)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| LMArena Non-English | 1385 | 1427 |
| LMArena Chinese | 1405 | 1497 |
| LMArena French | 1410 | 1472 |
| LMArena German | 1390 | 1471 |
| LMArena Korean | 1341 | 1386 |
| LMArena Russian | 1401 | 1417 |
| LMArena Spanish | 1384 | 1454 |
| LMArena Japanese | 1385 | — |
Instruction Following Too close to call
GPT-6 Sol: 74.5 (#94), Nemotron 3 Ultra: 74.7 (#88)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| LMArena Instruction Following | 1412 | 1418 |
Long Context Too close to call
GPT-6 Sol: 43.1 (#108), Nemotron 3 Ultra: 43.9 (#81)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| LMArena Longer Query | 1411 | 1437 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Nemotron 3 Ultra: 66.3 (#36)
| Benchmark | GPT-6 Sol | Nemotron 3 Ultra |
|---|---|---|
| LMArena Text | 1395 | 1445 |
| LMArena Creative Writing | 1378 | 1398 |
| EQ-Bench Creative Writing | 2125 | 1692 |
| LMArena Multi-Turn | 1412 | 1411 |
Frequently asked questions
Is GPT-6 Sol better than Nemotron 3 Ultra?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 42.5 on the Noometry Index. Nemotron 3 Ultra costs 3.8× 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 Ultra?
Nemotron 3 Ultra is cheaper. It lists at $0.60 per million input tokens and $2.40 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is GPT-6 Sol or Nemotron 3 Ultra better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 38.1 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 Ultra share?
28 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Nemotron 3 Ultra has 30.