Model comparison
GPT-5.6 Sol vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.6 Sol #3 (Supported); Nemotron 3 Nano Omni 30B A3B #151 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.6 Sol and Nemotron 3 Nano Omni 30B A3B share 17 comparable benchmark results. 3 of 8 categories are comparable. 29 results are unique to GPT-5.6 Sol; 12 to Nemotron 3 Nano Omni 30B A3B.
Updated July 23, 2026- Shared results
- 17
- GPT-5.6 Sol only
- 29
- Nemotron 3 Nano Omni 30B A3B only
- 12
- Comparable categories
- 3 / 8
Pick GPT-5.6 Sol if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 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 is clearly ahead on the BenchAlign aggregate, 81.96 to 44.24. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.6 Sol's sharpest advantage is in coding, where it averages 64.6 against 32. The single biggest benchmark swing on the page is GPQA, 94.6% to 72.2%.
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 Nano Omni 30B A3B. That is roughly Infinityx on output cost alone. GPT-5.6 Sol gives you the larger context window at 1M, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
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 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | GPT-5.6 Sol64.6 | Margin← 32.6 | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | GPT-5.6 Sol94.6 | Margin← 18.3 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Multimodal | GPT-5.6 Sol83.0 | Margin← 6.7 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Agentic | GPT-5.6 Sol92.0 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Math | GPT-5.6 Sol87.5 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Inst. Following | GPT-5.6 SolNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B74.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 94.6%B 72.2%Winner: GPT-5.6 SolΔ 22.4GPQA: GPT-5.6 Sol scored 94.6%; Nemotron 3 Nano Omni 30B A3B scored 72.2%. 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 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.6 Sol$5 input / $30 output | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Nemotron 3 Nano Omni 30B A3B has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.6 SolNot available | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.6 SolNot available | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.6 Sol1M | Nemotron 3 Nano Omni 30B A3B256K | GPT-5.6 Sol lists the larger context window. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| BrowseCompSource | 92.2% | — | Not comparable |
| 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% | — | Not comparable |
| τ²-bench resultsSource | 85.1% | 45.3% | GPT-5.6 Sol leads |
| GDPval-AASource | 61.8% | 0.0% | GPT-5.6 Sol leads |
| GDPval-AASource | 1736 | 467 | GPT-5.6 Sol leads |
| AA BriefcaseSource | 1501 | — | Not comparable |
| AA ITBenchSource | 56.2% | — | Not comparable |
| AA Tau3 BankingSource | 33.0% | — | Not comparable |
| AA AutomationBenchSource | 51.2% | — | Not comparable |
| AA Harvey LABSource | 87.2% | — | Not comparable |
| terminalBenchHardSource | 65.9% | — | Not comparable |
| aaTerminalBench21Source | 88% | — | Not comparable |
| OSWorldSource | — | 47.4% | Not comparable |
CodingGPT-5.6 Sol wins9 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| SWE-bench ProSource | 64.6% | — | Not comparable |
| Terminal-Bench 2.0Source | 91.9% | — | Not comparable |
| 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% | 13.8% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 56.1% | 27.8% | GPT-5.6 Sol leads |
| SciCodeSource | — | 32% | Not comparable |
Reasoning4 benchmarks
KnowledgeGPT-5.6 Sol wins11 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| GPQASource | 94.6% | 72.2% | GPT-5.6 Sol leads |
| GPQA-DSource | 94.6% | 72.2% | GPT-5.6 Sol leads |
| HealthBench ProfessionalSource | 60.5% | — | Not comparable |
| HealthBench HardSource | 33.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 58.9% | 14.9% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 94.1% | 46.9% | GPT-5.6 Sol leads |
| AA-HLESource | 47.2% | 5.3% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 21.7% | -56.0% | GPT-5.6 Sol leads |
| AA-Omniscience AccuracySource | 58.5% | 14.8% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 88.8% | 83.1% | Nemotron 3 Nano Omni 30B A3B leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
Math4 benchmarks
MultimodalGPT-5.6 Sol wins10 benchmarks
| Benchmark | GPT-5.6 Sol | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| MMMU-ProSource | 83% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 84.6% | — | Not comparable |
| AA-MMMU-ProSource | 83.4% | 53.2% | GPT-5.6 Sol leads |
| MMMUSource | — | 70.8% | Not comparable |
| MMLongBench-DocSource | — | 57.5% | Not comparable |
| CharXivSource | — | 76.3% | Not comparable |
| ScreenSpot ProSource | — | 57.8% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 72.2% | Not comparable |
| AI2D_TESTSource | — | 88.5% | Not comparable |
| RefCOCO (avg)Source | — | 90.5% | Not comparable |
Frequently Asked Questions (4)
Which is better, GPT-5.6 Sol or Nemotron 3 Nano Omni 30B A3B?
GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 44.24. The biggest single separator in this matchup is GPQA, where the scores are 94.6% and 72.2%.
Which is better for knowledge tasks, GPT-5.6 Sol or Nemotron 3 Nano Omni 30B A3B?
GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 76.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.6 Sol or Nemotron 3 Nano Omni 30B A3B?
GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 32. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.6 Sol or Nemotron 3 Nano Omni 30B A3B?
GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 76.3. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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