Model comparison
GPT-4.1 nano vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4.1 nano #170 (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-4.1 nano and Nemotron 3 Nano Omni 30B A3B share 16 comparable benchmark results. 2 of 8 categories are comparable. 5 results are unique to GPT-4.1 nano; 13 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 16
- GPT-4.1 nano only
- 5
- Nemotron 3 Nano Omni 30B A3B only
- 13
- Comparable categories
- 2 / 8
Pick Nemotron 3 Nano Omni 30B A3B if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if instruction following is the priority or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Nemotron 3 Nano Omni 30B A3B has the cleaner BenchAlign overall profile here, landing at 43.32 versus 41.1. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Nemotron 3 Nano Omni 30B A3B's sharpest advantage is in knowledge, where it averages 76.3 against 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 72.2%. GPT-4.1 nano does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 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. Nemotron 3 Nano Omni 30B A3B is the reasoning model in the pair, while GPT-4.1 nano is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-4.1 nano 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-4.1 nano | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Knowledge | GPT-4.1 nano50.3 | Margin→ 26.0 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Inst. Following | GPT-4.1 nano83.2 | Margin← 9.0 | Nemotron 3 Nano Omni 30B A3B74.2 |
| Coding | GPT-4.1 nanoNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B32.0 |
| Math | GPT-4.1 nano1.0 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Multimodal | GPT-4.1 nanoNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 50.3%B 72.2%Winner: Nemotron 3 Nano Omni 30B A3BΔ 21.9GPQA: GPT-4.1 nano scored 50.3%; Nemotron 3 Nano Omni 30B A3B scored 72.2%. Nemotron 3 Nano Omni 30B A3B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4.1 nano | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 nano$0.1 input / $0.4 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-4.1 nano181 tok/s | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.1 nano0.63 s | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.1 nano1M | Nemotron 3 Nano Omni 30B A3B256K | GPT-4.1 nano lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
KnowledgeNemotron 3 Nano Omni 30B A3B wins10 benchmarks
| Benchmark | GPT-4.1 nano | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| MMLUSource | 80.1% | — | Not comparable |
| GPQASource | 50.3% | 72.2% | Nemotron 3 Nano Omni 30B A3B leads |
| Artificial Analysis Intelligence IndexSource | 9.6% | 14.9% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-GPQA DiamondSource | 51.2% | 46.9% | GPT-4.1 nano leads |
| AA-HLESource | 3.9% | 5.3% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience IndexSource | -56.4% | -56.0% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience AccuracySource | 13.3% | 14.8% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience Hallucination RateSource | 80.4% | 83.1% | GPT-4.1 nano leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
Math2 benchmarks
Multimodal9 benchmarks
| Benchmark | GPT-4.1 nano | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 40.1% | 53.2% | Nemotron 3 Nano Omni 30B A3B leads |
| Design Arena WebsiteSource | 998 | — | 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 (3)
Which is better, GPT-4.1 nano or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B is ahead on BenchLM's BenchAlign leaderboard, 43.32 to 41.1. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 72.2%.
Which is better for knowledge tasks, GPT-4.1 nano 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 50.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for instruction following, GPT-4.1 nano or Nemotron 3 Nano Omni 30B A3B?
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 74.2. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
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