Model comparison
GPT-5.5 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-5.5 #11 (Estimated); Nemotron 3 Nano Omni 30B A3B #159 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 and Nemotron 3 Nano Omni 30B A3B share 17 comparable benchmark results. 3 of 8 categories are comparable. 36 results are unique to GPT-5.5; 12 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 17
- GPT-5.5 only
- 36
- Nemotron 3 Nano Omni 30B A3B only
- 12
- Comparable categories
- 3 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if knowledge is the priority or 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-5.5 is clearly ahead on the BenchAlign aggregate, 72.04 to 43.32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in coding, where it averages 58.6 against 32. The single biggest benchmark swing on the page is GPQA, 93.6% to 72.2%. Nemotron 3 Nano Omni 30B A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 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-5.5 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-5.5 | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | GPT-5.558.6 | Margin← 26.6 | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | GPT-5.557.8 | Margin→ 18.5 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Multimodal | GPT-5.570.4 | Margin→ 5.9 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Agentic | GPT-5.581.6 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Reasoning | GPT-5.585.0 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Math | GPT-5.547.6 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Inst. Following | GPT-5.5Not 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 93.6%B 72.2%Winner: GPT-5.5Δ 21.4GPQA: GPT-5.5 scored 93.6%; Nemotron 3 Nano Omni 30B A3B scored 72.2%. GPT-5.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5$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-5.5Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.51M | Nemotron 3 Nano Omni 30B A3B256K | GPT-5.5 lists the larger context window. |
Benchmark Deep Dive
Agentic20 benchmarks
| Benchmark | GPT-5.5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 82% | — | Not comparable |
| CyberGymSource | 81.8% | — | Not comparable |
| BrowseCompSource | 84.4% | — | Not comparable |
| OSWorld-VerifiedSource | 78.7% | — | Not comparable |
| MCP AtlasSource | 75.3% | — | Not comparable |
| ToolathlonSource | 55.6% | — | Not comparable |
| τ²-bench resultsSource | 93.9% | 45.3% | GPT-5.5 leads |
| AA Agentic IndexSource | 44.9% | — | Not comparable |
| APEX-Agents-AASource | 37.7% | — | Not comparable |
| GDPval-AASource | 49.6% | 0.0% | GPT-5.5 leads |
| GDPval-AASource | 1491 | 465 | GPT-5.5 leads |
| Gert LabsSource | 72.93% | — | Not comparable |
| ResearchClawBenchSource | 17.0% | — | Not comparable |
| OSWorld 2.0Source | 13.0% | — | Not comparable |
| JobBenchSource | 42.7% | — | Not comparable |
| ExploitGymSource | 13.4% | — | Not comparable |
| AA AutomationBenchSource | 42.1% | — | Not comparable |
| AA EnterpriseOps-GymSource | 46.6% | — | Not comparable |
| AA ITBenchSource | 45.8% | — | Not comparable |
| OSWorldSource | — | 47.4% | Not comparable |
CodingGPT-5.5 wins10 benchmarks
| Benchmark | GPT-5.5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| SWE-bench ProSource | 58.6% | — | Not comparable |
| Terminal-Bench 2.0Source | 82.0% | — | Not comparable |
| Vibe Code BenchSource | 69.85% | — | Not comparable |
| React Native EvalsSource | 84.7% | — | Not comparable |
| cursorBench31Source | 59.2% | — | Not comparable |
| cursorBench32Source | 58.4% | — | Not comparable |
| AA Coding IndexSource | 74.9% | 13.8% | GPT-5.5 leads |
| AA-SciCodeSource | 56.1% | 27.8% | GPT-5.5 leads |
| FrontierCode 1.1 MainSource | 43.0% | — | Not comparable |
| SciCodeSource | — | 32% | Not comparable |
Reasoning6 benchmarks
KnowledgeNemotron 3 Nano Omni 30B A3B wins11 benchmarks
| Benchmark | GPT-5.5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| GPQASource | 93.6% | 72.2% | GPT-5.5 leads |
| GPQA-DSource | 93.6% | 72.2% | GPT-5.5 leads |
| HLESource | 52.2% | — | Not comparable |
| HLE w/o toolsSource | 41.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 54.8% | 14.9% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 93.5% | 46.9% | GPT-5.5 leads |
| AA-HLESource | 44.3% | 5.3% | GPT-5.5 leads |
| AA-Omniscience IndexSource | 20.1% | -56.0% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 56.9% | 14.8% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 85.5% | 83.1% | Nemotron 3 Nano Omni 30B A3B leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
Math4 benchmarks
MultimodalNemotron 3 Nano Omni 30B A3B wins12 benchmarks
| Benchmark | GPT-5.5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| MMMU-ProSource | 81.2% | — | Not comparable |
| MMMU-Pro w/ PythonSource | 83.2% | — | Not comparable |
| OfficeQA ProSource | 54.1% | — | Not comparable |
| AA-MMMU-ProSource | 79.9% | 53.2% | GPT-5.5 leads |
| Design Arena WebsiteSource | 1280 | — | Not comparable |
| 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-5.5 or Nemotron 3 Nano Omni 30B A3B?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 72.04 to 43.32. The biggest single separator in this matchup is GPQA, where the scores are 93.6% and 72.2%.
Which is better for knowledge tasks, GPT-5.5 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 76.3 versus 57.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-5.5 or Nemotron 3 Nano Omni 30B A3B?
GPT-5.5 has the edge for coding in this comparison, averaging 58.6 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-5.5 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the edge for multimodal and grounded tasks in this comparison, averaging 76.3 versus 70.4. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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