Model comparison
GPT-6 Astra vs Nemotron 3 Ultra
GPT-6 Astra is the stronger model overall, scoring 70.8 to 42.5 on the Noometry Index. Nemotron 3 Ultra costs 22× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Last verified . 30 shared benchmarks.
NVIDIASummary
- They share 30 benchmarks with published results for both. GPT-6 Astra scores higher in 9 categories and Nemotron 3 Ultra in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.5 to 35.3.
- The biggest single-benchmark swing is ProofBench: 99% for GPT-6 Astra and 2% for Nemotron 3 Ultra.
- Nemotron 3 Ultra is cheaper at $0.50 / $2.20 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra 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 Astra | Nemotron 3 Ultra | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 70.8 | 42.5 |
| Released | 2026-09-03 | 2026-06-04 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 128K |
| Input $ / M tokens | $10 | $0.50 |
| Output $ / M tokens | $50 | $2.20 |
| Results tracked | 56 | 30 |
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Category by category
Coding GPT-6 Astra leads
GPT-6 Astra: 73.7 (#2), Nemotron 3 Ultra: 38.1 (#182)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| FrontierCode | 53.3% | 13.6% |
| SciCode | 56.5% | 40.3% |
| WeirdML | 93.6% | 43.5% |
| LMArena Coding | 1487 | 1468 |
| DeepSWE | 74.1% | — |
| LMArena WebDev | 1786 | — |
| FrontierSWE | 65.5% | — |
| GSO | 79.4% | — |
| MirrorCode | 46.7% | — |
| ALE-Bench | 2,951 | — |
Agentic & Tool Use GPT-6 Astra leads
GPT-6 Astra: 52.9 (#3), Nemotron 3 Ultra: 23.4 (#126)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| APEX-Agents | 64.7% | 22.7% |
| Remote Labor Index | 20.8% | — |
| BALROG | 68.3% | — |
| GDP.pdf | 34.2% | — |
| Vending-Bench 2 | 15,515 | — |
Reasoning GPT-6 Astra leads
GPT-6 Astra: 85.1 (#1), Nemotron 3 Ultra: 31.0 (#82)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| CritPt | 31.7% | 3.1% |
| Chess Puzzles | 72% | 12% |
| LMArena Hard Prompts | 1462 | 1452 |
| Mystery Game Puzzles | 84% | 20% |
| DTBench | 97.3% | 90.1% |
| LMCA | 64.4% | 36.9% |
| Epoch Capabilities Index | 166.45 | 146.17 |
| ARC-AGI-2 | 95% | — |
| NYT Connections (extended) | 98.1% | — |
| ARC-AGI-1 | 98.5% | — |
| EBR-Bench | 76.2% | — |
| Bench to the Future 3 | 0.14 | — |
Math GPT-6 Astra leads
GPT-6 Astra: 93.5 (#2), Nemotron 3 Ultra: 35.3 (#187)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 86.7% |
| ProofBench | 99% | 2% |
| LMArena Math | 1465 | 1457 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 97.6% | — |
| FrontierMath Erdős | 2.9% | — |
Knowledge GPT-6 Astra leads
GPT-6 Astra: 75.3 (#1), Nemotron 3 Ultra: 52.5 (#61)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| GPQA Diamond | 95.8% | 85.4% |
| LMArena Expert | 1483 | 1472 |
| Humanity's Last Exam | 54.8% | — |
| SimpleQA Verified | 75.6% | — |
| Vectara Hallucination Rate | 8.7% | — |
Multimodal Not comparable
GPT-6 Astra: 55.0 (#3), Nemotron 3 Ultra: —
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| LMArena Vision | 1281 | — |
| Blueprint-Bench 2 | 49.7% | — |
| Furniture Assembly | 80% | — |
| LMArena Document | 1468 | — |
Multilingual Too close to call
GPT-6 Astra: 53.7 (#61), Nemotron 3 Ultra: 53.5 (#64)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| LMArena Non-English | 1430 | 1427 |
| LMArena Chinese | 1484 | 1497 |
| LMArena French | 1456 | 1472 |
| LMArena German | 1440 | 1471 |
| LMArena Korean | 1426 | 1386 |
| LMArena Russian | 1436 | 1417 |
| LMArena Spanish | 1407 | 1454 |
| LMArena Japanese | 1379 | — |
Instruction Following GPT-6 Astra leads
GPT-6 Astra: 76.3 (#44), Nemotron 3 Ultra: 74.7 (#88)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| LMArena Instruction Following | 1450 | 1418 |
Long Context Too close to call
GPT-6 Astra: 44.5 (#62), Nemotron 3 Ultra: 43.9 (#81)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| LMArena Longer Query | 1456 | 1437 |
Writing & Preference GPT-6 Astra leads
GPT-6 Astra: 75.3 (#7), Nemotron 3 Ultra: 66.3 (#36)
| Benchmark | GPT-6 Astra | Nemotron 3 Ultra |
|---|---|---|
| LMArena Text | 1441 | 1445 |
| LMArena Creative Writing | 1418 | 1398 |
| EQ-Bench Creative Writing | 2173 | 1692 |
| LMArena Multi-Turn | 1448 | 1411 |
Frequently asked questions
Is GPT-6 Astra better than Nemotron 3 Ultra?
GPT-6 Astra is the stronger model overall, scoring 70.8 to 42.5 on the Noometry Index. Nemotron 3 Ultra costs 22× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.
Which is cheaper, GPT-6 Astra or Nemotron 3 Ultra?
Nemotron 3 Ultra is cheaper. It lists at $0.50 per million input tokens and $2.20 per million output tokens; GPT-6 Astra lists at $10 and $50.
Is GPT-6 Astra or Nemotron 3 Ultra better for coding?
GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 38.1 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Astra does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6 Astra and Nemotron 3 Ultra share?
30 benchmarks have published results for both models. GPT-6 Astra has 56 scored results on Noometry and Nemotron 3 Ultra has 30.