Model comparison
GPT-5.2 vs GPT-5.5 Pro
Head-to-head evidence from 4 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2 #64 (Estimated); GPT-5.5 Pro #38 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and GPT-5.5 Pro share 4 comparable benchmark results. 3 of 8 categories are comparable. 24 results are unique to GPT-5.2; 3 to GPT-5.5 Pro.
Updated July 22, 2026- Shared results
- 4
- GPT-5.2 only
- 24
- GPT-5.5 Pro only
- 3
- Comparable categories
- 3 / 8
Pick GPT-5.5 Pro if you want the stronger benchmark profile. GPT-5.2 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 4 shared benchmark results across 3 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 Pro is clearly ahead on the BenchAlign aggregate, 63.69 to 58.43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 Pro's sharpest advantage is in agentic, where it averages 90.1 against 55.7. The single biggest benchmark swing on the page is BrowseComp, 65.8% to 90.1%. GPT-5.2 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. That is roughly 12.9x on output cost alone. GPT-5.5 Pro gives you the larger context window at 1M, compared with 400K for GPT-5.2.
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 | GPT-5.5 Pro |
|---|---|---|---|
| Knowledge | GPT-5.292.4 | Margin← 35.2 | GPT-5.5 Pro57.2 |
| Agentic | GPT-5.255.7 | Margin→ 34.4 | GPT-5.5 Pro90.1 |
| Math | GPT-5.235.2 | Margin→ 12.9 | GPT-5.5 Pro48.1 |
| Coding | GPT-5.270.6 | MarginNo overlap | GPT-5.5 ProNot measured |
| Reasoning | GPT-5.252.9 | MarginNo overlap | GPT-5.5 ProNot measured |
| Multimodal | GPT-5.280.4 | MarginNo overlap | GPT-5.5 ProNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 65.8%B 90.1%Winner: GPT-5.5 ProΔ 24.3BrowseComp: GPT-5.2 scored 65.8%; GPT-5.5 Pro scored 90.1%. GPT-5.5 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 18.800%B 39.600%Winner: GPT-5.5 ProΔ 20.8FrontierMath v2 (Tier 4): GPT-5.2 scored 18.800%; GPT-5.5 Pro scored 39.600%. GPT-5.5 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 40.700%B 51.000%Winner: GPT-5.5 ProΔ 10.3FrontierMath v2 (Tiers 1-3): GPT-5.2 scored 40.700%; GPT-5.5 Pro scored 51.000%. GPT-5.5 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2 | GPT-5.5 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | GPT-5.5 Pro$30 input / $180 output | GPT-5.2 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.273 tok/s | GPT-5.5 ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | GPT-5.5 ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | GPT-5.5 Pro1M | GPT-5.5 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.5 Pro wins5 benchmarks
Coding4 benchmarks
Reasoning3 benchmarks
KnowledgeGPT-5.2 wins9 benchmarks
| Benchmark | GPT-5.2 | GPT-5.5 Pro | Result |
|---|---|---|---|
| GPQASource | 92.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 42.2% | — | Not comparable |
| 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 |
| HLESource | — | 57.2% | Not comparable |
| HLE w/o toolsSource | — | 43.1% | Not comparable |
MathGPT-5.5 Pro wins4 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.2 | GPT-5.5 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | — | Not comparable |
Frequently Asked Questions (4)
Which is better, GPT-5.2 or GPT-5.5 Pro?
GPT-5.5 Pro is ahead on BenchLM's BenchAlign leaderboard, 63.69 to 58.43. The biggest single separator in this matchup is BrowseComp, where the scores are 65.8% and 90.1%.
Which is better for knowledge tasks, GPT-5.2 or GPT-5.5 Pro?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 57.2. GPT-5.5 Pro stays close enough that the answer can still flip depending on your workload.
Which is better for math, GPT-5.2 or GPT-5.5 Pro?
GPT-5.5 Pro has the edge for math in this comparison, averaging 48.1 versus 35.2. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.2 or GPT-5.5 Pro?
GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 55.7. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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