Model comparison
GPT-5.2 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-5.2 #70 (Estimated); o1-pro #148 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and o1-pro share 2 comparable benchmark results. 1 of 8 categories are comparable. 26 results are unique to GPT-5.2; 0 to o1-pro.
Updated July 24, 2026- Shared results
- 2
- GPT-5.2 only
- 26
- o1-pro only
- 0
- Comparable categories
- 1 / 8
Pick GPT-5.2 if you want the stronger benchmark profile. o1-pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
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
GPT-5.2 is clearly ahead on the BenchAlign aggregate, 57.63 to 45.03. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 79. The single biggest benchmark swing on the page is GPQA, 92.4% to 79%.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. That is roughly 42.9x on output cost alone. GPT-5.2 gives you the larger context window at 400K, 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-5.2 | Δ | o1-pro |
|---|---|---|---|
| Knowledge | GPT-5.292.4 | Margin← 13.4 | o1-pro79.0 |
| Agentic | GPT-5.255.7 | MarginNo overlap | o1-proNot measured |
| Coding | GPT-5.270.6 | MarginNo overlap | o1-proNot measured |
| Reasoning | GPT-5.252.9 | MarginNo overlap | o1-proNot measured |
| Math | GPT-5.235.2 | MarginNo overlap | o1-proNot measured |
| Multimodal | GPT-5.280.4 | MarginNo overlap | o1-proNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 92.4%B 79%Winner: GPT-5.2Δ 13.4GPQA: GPT-5.2 scored 92.4%; o1-pro scored 79%. GPT-5.2 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2 | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | o1-pro$150 input / $600 output | GPT-5.2 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.273 tok/s | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | o1-pro200K | GPT-5.2 lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding4 benchmarks
Reasoning3 benchmarks
KnowledgeGPT-5.2 wins7 benchmarks
| Benchmark | GPT-5.2 | o1-pro | Result |
|---|---|---|---|
| GPQASource | 92.4% | 79% | GPT-5.2 leads |
| Artificial Analysis Intelligence IndexSource | 42.2% | 18.9% | GPT-5.2 leads |
| AA-GPQA DiamondSource | 90.3% | — | Not comparable |
| AA-HLESource | 35.4% | — | Not comparable |
| AA-Omniscience IndexSource | -1.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 43.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 79.7% | — | Not comparable |
Math3 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.2 | o1-pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GPT-5.2 or o1-pro?
GPT-5.2 is ahead on BenchLM's BenchAlign leaderboard, 57.63 to 45.03. The biggest single separator in this matchup is GPQA, where the scores are 92.4% and 79%.
Which is better for knowledge tasks, GPT-5.2 or o1-pro?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 79. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.