Model comparison
GPT-5.6 Sol vs Nemotron 3 Ultra
Head-to-head evidence from 23 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Nemotron 3 Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and Nemotron 3 Ultra share 23 comparable benchmark results. 3 of 8 categories are comparable. 23 results are unique to GPT-5.6 Sol; 15 to Nemotron 3 Ultra.
Updated July 23, 2026- Shared results
- 23
- GPT-5.6 Sol only
- 23
- Nemotron 3 Ultra only
- 15
- Comparable categories
- 3 / 8
Treat this as a split decision. GPT-5.6 Sol makes more sense if knowledge is the priority; Nemotron 3 Ultra is the better fit if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 5 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.6 Sol and Nemotron 3 Ultra finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Ultra. That is roughly Infinityx on output cost alone.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | GPT-5.6 Sol | Δ | Nemotron 3 Ultra |
|---|---|---|---|
| Knowledge | GPT-5.6 Sol94.6 | Margin← 40.8 | Nemotron 3 Ultra53.8 |
| Agentic | GPT-5.6 Sol92.0 | Margin← 40.7 | Nemotron 3 Ultra51.3 |
| Coding | GPT-5.6 Sol64.6 | Margin← 6.3 | Nemotron 3 Ultra58.3 |
| Reasoning | GPT-5.6 SolNot measured | MarginNo overlap | Nemotron 3 Ultra61.9 |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Multilingual | GPT-5.6 SolNot measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
| Multimodal | GPT-5.6 Sol83.0 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Inst. Following | GPT-5.6 SolNot measured | MarginNo overlap | Nemotron 3 Ultra81.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 92.2%B 44.4%Winner: GPT-5.6 SolΔ 47.8BrowseComp: GPT-5.6 Sol scored 92.2%; Nemotron 3 Ultra scored 44.4%. GPT-5.6 Sol wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 91.9%B 56.4%Winner: GPT-5.6 SolΔ 35.5Terminal-Bench 2.0: GPT-5.6 Sol scored 91.9%; Nemotron 3 Ultra scored 56.4%. GPT-5.6 Sol wins this benchmark. - Source ↗
GPQA
KnowledgeA 94.6%B 87%Winner: GPT-5.6 SolΔ 7.6GPQA: GPT-5.6 Sol scored 94.6%; Nemotron 3 Ultra scored 87%. GPT-5.6 Sol wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.6 Sol | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | Nemotron 3 Ultra1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins21 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | 56.4% | GPT-5.6 Sol leads |
| BrowseCompSource | 92.2% | 44.4% | GPT-5.6 Sol leads |
| OSWorld 2.0Source | 62.6% | — | Not comparable |
| CyberGymSource | 84.5% | — | Not comparable |
| ExploitGymSource | 33.7% | — | Not comparable |
| ToolathlonSource | 58% | — | Not comparable |
| AA Agentic IndexSource | 54.0% | 27.4% | GPT-5.6 Sol leads |
| τ²-bench resultsSource | 85.1% | 83.3% | GPT-5.6 Sol leads |
| GDPval-AASource | 61.8% | 33.2% | GPT-5.6 Sol leads |
| GDPval-AASource | 1736 | 1164 | GPT-5.6 Sol leads |
| AA BriefcaseSource | 1501 | 870 | GPT-5.6 Sol leads |
| AA ITBenchSource | 56.2% | — | Not comparable |
| AA Tau3 BankingSource | 33.0% | — | Not comparable |
| AA AutomationBenchSource | 51.2% | — | Not comparable |
| AA Harvey LABSource | 87.2% | 81.7% | GPT-5.6 Sol leads |
| terminalBenchHardSource | 65.9% | 36.4% | GPT-5.6 Sol leads |
| aaTerminalBench21Source | 88% | — | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
CodingGPT-5.6 Sol wins11 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Ultra | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.6% | — | Not comparable |
| Terminal-Bench 2.0Source | 91.9% | 56.4% | GPT-5.6 Sol leads |
| deepSweSource | 72.7% | — | Not comparable |
| FrontierCode 1.1 ExtendedSource | 60.6% | — | Not comparable |
| cursorBench32Source | 67.2% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 77.4% | 49.3% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 56.1% | 39.9% | GPT-5.6 Sol leads |
| SWE-bench VerifiedSource | — | 71.9% | Not comparable |
| SWE MultilingualSource | — | 67.7% | Not comparable |
| SciCodeSource | — | 44.6% | Not comparable |
Reasoning5 benchmarks
KnowledgeGPT-5.6 Sol wins14 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Ultra | Result |
|---|---|---|---|
| GPQASource | 94.6% | 87% | GPT-5.6 Sol leads |
| GPQA-DSource | 94.6% | 87.0% | GPT-5.6 Sol leads |
| HealthBench ProfessionalSource | 60.5% | — | Not comparable |
| HealthBench HardSource | 33.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 58.9% | 37.8% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 94.1% | 86.7% | GPT-5.6 Sol leads |
| AA-HLESource | 47.2% | 26.6% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 21.7% | -0.8% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 58.5% | 21.6% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.8% | 28.5% | Nemotron 3 Ultra leads |
| HLESource | — | 26.7% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| MMLU-ProSource | — | 86.8% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal4 benchmarks
Frequently Asked Questions (4)
Which is better, GPT-5.6 Sol or Nemotron 3 Ultra?
GPT-5.6 Sol and Nemotron 3 Ultra are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, GPT-5.6 Sol or Nemotron 3 Ultra?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 53.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.6 Sol or Nemotron 3 Ultra?
GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 58.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.6 Sol or Nemotron 3 Ultra?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 51.3. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
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