Model comparison
GPT-4.1 nano vs o1-pro
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4.1 nano #170 (Estimated); o1-pro #148 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4.1 nano and o1-pro share 2 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to GPT-4.1 nano; 0 to o1-pro.
Updated July 28, 2026- Shared results
- 2
- GPT-4.1 nano only
- 19
- o1-pro only
- 0
- Comparable categories
- 1 / 8
Pick o1-pro if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
o1-pro is clearly ahead on the BenchAlign aggregate, 45 to 41.1. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro's sharpest advantage is in knowledge, where it averages 79 against 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 79%.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. That is roughly 1500.0x on output cost alone. o1-pro 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 200K for o1-pro.
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 | o1-pro |
|---|---|---|---|
| Knowledge | GPT-4.1 nano50.3 | Margin→ 28.7 | o1-pro79.0 |
| Math | GPT-4.1 nano1.0 | MarginNo overlap | o1-proNot measured |
| Inst. Following | GPT-4.1 nano83.2 | MarginNo overlap | o1-proNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 50.3%B 79%Winner: o1-proΔ 28.7GPQA: GPT-4.1 nano scored 50.3%; o1-pro scored 79%. o1-pro 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 | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 nano$0.1 input / $0.4 output | o1-pro$150 input / $600 output | GPT-4.1 nano has the lower combined listed price. |
| Generation speedtokens per second | GPT-4.1 nano181 tok/s | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.1 nano0.63 s | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.1 nano1M | o1-pro200K | GPT-4.1 nano lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledgeo1-pro wins8 benchmarks
| Benchmark | GPT-4.1 nano | o1-pro | Result |
|---|---|---|---|
| MMLUSource | 80.1% | — | Not comparable |
| GPQASource | 50.3% | 79% | o1-pro leads |
| Artificial Analysis Intelligence IndexSource | 9.6% | 18.9% | o1-pro leads |
| AA-GPQA DiamondSource | 51.2% | — | Not comparable |
| AA-HLESource | 3.9% | — | Not comparable |
| AA-Omniscience IndexSource | -56.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 13.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.4% | — | Not comparable |
Math1 benchmarks
| Benchmark | GPT-4.1 nano | o1-pro | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.034% | — | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, GPT-4.1 nano or o1-pro?
o1-pro is ahead on BenchLM's BenchAlign leaderboard, 45 to 41.1. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 79%.
Which is better for knowledge tasks, GPT-4.1 nano or o1-pro?
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 50.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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