Model comparison
GPT-4.1 vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4.1 #111 (Supported); 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 and Nemotron 3 Nano Omni 30B A3B share 13 comparable benchmark results. 3 of 8 categories are comparable. 7 results are unique to GPT-4.1; 16 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 13
- GPT-4.1 only
- 7
- Nemotron 3 Nano Omni 30B A3B only
- 16
- Comparable categories
- 3 / 8
Pick GPT-4.1 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 13 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-4.1 is clearly ahead on the BenchAlign aggregate, 50.39 to 43.32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1's sharpest advantage is in coding, where it averages 54.6 against 32. The single biggest benchmark swing on the page is GPQA, 66.3% 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-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 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. Nemotron 3 Nano Omni 30B A3B is the reasoning model in the pair, while GPT-4.1 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 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 | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | GPT-4.154.6 | Margin← 22.6 | Nemotron 3 Nano Omni 30B A3B32.0 |
| Inst. Following | GPT-4.187.4 | Margin← 13.2 | Nemotron 3 Nano Omni 30B A3B74.2 |
| Knowledge | GPT-4.166.3 | Margin→ 10.0 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Math | GPT-4.14.1 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Multimodal | GPT-4.1Not 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 66.3%B 72.2%Winner: Nemotron 3 Nano Omni 30B A3BΔ 5.9GPQA: GPT-4.1 scored 66.3%; 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 | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1$2 input / $8 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-4.1108 tok/s | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.11.02 s | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.11M | Nemotron 3 Nano Omni 30B A3B256K | GPT-4.1 lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
CodingGPT-4.1 wins4 benchmarks
Reasoning2 benchmarks
KnowledgeNemotron 3 Nano Omni 30B A3B wins10 benchmarks
| Benchmark | GPT-4.1 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| MMLUSource | 90.2% | — | Not comparable |
| GPQASource | 66.3% | 72.2% | Nemotron 3 Nano Omni 30B A3B leads |
| Artificial Analysis Intelligence IndexSource | 19.4% | 14.9% | GPT-4.1 leads |
| AA-GPQA DiamondSource | 66.6% | 46.9% | GPT-4.1 leads |
| AA-HLESource | 4.6% | 5.3% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience IndexSource | -36.2% | -56.0% | GPT-4.1 leads |
| AA-Omniscience AccuracySource | 24.2% | 14.8% | GPT-4.1 leads |
| AA-Omniscience Hallucination RateSource | 79.6% | 83.1% | GPT-4.1 leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
Math3 benchmarks
Multimodal9 benchmarks
| Benchmark | GPT-4.1 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 61.2% | 53.2% | GPT-4.1 leads |
| Design Arena WebsiteSource | 1063 | — | 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-4.1 or Nemotron 3 Nano Omni 30B A3B?
GPT-4.1 is ahead on BenchLM's BenchAlign leaderboard, 50.39 to 43.32. The biggest single separator in this matchup is GPQA, where the scores are 66.3% and 72.2%.
Which is better for knowledge tasks, GPT-4.1 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 66.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, GPT-4.1 or Nemotron 3 Nano Omni 30B A3B?
GPT-4.1 has the edge for coding in this comparison, averaging 54.6 versus 32. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for instruction following, GPT-4.1 or Nemotron 3 Nano Omni 30B A3B?
GPT-4.1 has the edge for instruction following in this comparison, averaging 87.4 versus 74.2. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
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