Model comparison
GPT-5.2 vs o1-preview
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2 #64 (Estimated); o1-preview #123 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2 and o1-preview share 1 comparable benchmark result. 0 of 8 categories are comparable. 27 results are unique to GPT-5.2; 1 to o1-preview.
Updated July 20, 2026- Shared results
- 1
- GPT-5.2 only
- 27
- o1-preview only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.2 and o1-preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
o1-preview is priced at $15.00 input / $60.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. GPT-5.2 has the larger context window at 400K, compared with 200K for o1-preview.
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-preview |
|---|---|---|---|
| Agentic | GPT-5.255.7 | MarginNo overlap | o1-previewNot measured |
| Coding | GPT-5.270.6 | MarginNo overlap | o1-previewNot measured |
| Reasoning | GPT-5.252.9 | MarginNo overlap | o1-previewNot measured |
| Knowledge | GPT-5.292.4 | MarginNo overlap | o1-previewNot measured |
| Math | GPT-5.235.2 | MarginNo overlap | o1-previewNot measured |
| Multimodal | GPT-5.280.4 | MarginNo overlap | o1-previewNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2 | o1-preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2$1.75 input / $14 output | o1-preview$15 input / $60 output | GPT-5.2 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.273 tok/s | o1-previewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2130.34 s | o1-previewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2400K | o1-preview200K | GPT-5.2 lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
Reasoning3 benchmarks
Knowledge7 benchmarks
| Benchmark | GPT-5.2 | o1-preview | Result |
|---|---|---|---|
| GPQASource | 92.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 42.2% | 17.0% | 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-preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 75.4% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.2 and o1-preview on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5.2 and o1-preview today?
GPT-5.2: $1.75 input / $14.00 output per 1M tokens o1-preview: $15.00 input / $60.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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