Model comparison
Gemini 2.5 Pro vs GPT-5.2
Head-to-head evidence from 18 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 2.5 Pro #70 (Supported); GPT-5.2 #64 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Pro and GPT-5.2 share 18 comparable benchmark results. 3 of 8 categories are comparable. 6 results are unique to Gemini 2.5 Pro; 10 to GPT-5.2.
Updated July 20, 2026- Shared results
- 18
- Gemini 2.5 Pro only
- 6
- GPT-5.2 only
- 10
- Comparable categories
- 3 / 8
Pick GPT-5.2 if you want the stronger benchmark profile. Gemini 2.5 Pro 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 18 shared benchmark results across 7 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-5.2 has the cleaner BenchAlign overall profile here, landing at 58.43 versus 57.25. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-5.2's sharpest advantage is in knowledge, where it averages 92.4 against 27.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 14.138% to 40.700%.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $1.25 input / $10.00 output per 1M tokens for Gemini 2.5 Pro. GPT-5.2 is the reasoning model in the pair, while Gemini 2.5 Pro 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. Gemini 2.5 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 | Gemini 2.5 Pro | Δ | GPT-5.2 |
|---|---|---|---|
| Knowledge | Gemini 2.5 Pro27.4 | Margin→ 65.0 | GPT-5.292.4 |
| Math | Gemini 2.5 Pro11.6 | Margin→ 23.6 | GPT-5.235.2 |
| Coding | Gemini 2.5 Pro63.8 | Margin→ 6.8 | GPT-5.270.6 |
| Agentic | Gemini 2.5 ProNot measured | MarginNo overlap | GPT-5.255.7 |
| Reasoning | Gemini 2.5 ProNot measured | MarginNo overlap | GPT-5.252.9 |
| Multimodal | Gemini 2.5 ProNot measured | MarginNo overlap | GPT-5.280.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 14.138%B 40.700%Winner: GPT-5.2Δ 26.6FrontierMath v2 (Tiers 1-3): Gemini 2.5 Pro scored 14.138%; GPT-5.2 scored 40.700%. GPT-5.2 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 63.8%B 80%Winner: GPT-5.2Δ 16.2SWE-bench Verified: Gemini 2.5 Pro scored 63.8%; GPT-5.2 scored 80%. GPT-5.2 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 4.167%B 18.800%Winner: GPT-5.2Δ 14.6FrontierMath v2 (Tier 4): Gemini 2.5 Pro scored 4.167%; GPT-5.2 scored 18.800%. GPT-5.2 wins this benchmark. - Source ↗
GPQA
KnowledgeA 83%B 92.4%Winner: GPT-5.2Δ 9.4GPQA: Gemini 2.5 Pro scored 83%; GPT-5.2 scored 92.4%. GPT-5.2 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 2.5 Pro | GPT-5.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Pro$1.25 input / $10 output | GPT-5.2$1.75 input / $14 output | Gemini 2.5 Pro has the lower combined listed price. |
| Generation speedtokens per second | Gemini 2.5 Pro117 tok/s | GPT-5.273 tok/s | Gemini 2.5 Pro has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 2.5 Pro21.19 s | GPT-5.2130.34 s | Gemini 2.5 Pro reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 2.5 Pro1M | GPT-5.2400K | Gemini 2.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Gemini 2.5 Pro | GPT-5.2 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 7.1% | — | Not comparable |
| τ²-bench resultsSource | 54.1% | 84.8% | GPT-5.2 leads |
| Gert LabsSource | 42.01% | 46.54% | GPT-5.2 leads |
| GDPval-AASource | 8.3% | — | Not comparable |
| GDPval-AASource | 665 | — | Not comparable |
| BrowseCompSource | — | 65.8% | Not comparable |
| OSWorld-VerifiedSource | — | 47.3% | Not comparable |
| JobBenchSource | — | 34.3% | Not comparable |
CodingGPT-5.2 wins5 benchmarks
Reasoning3 benchmarks
KnowledgeGPT-5.2 wins8 benchmarks
| Benchmark | Gemini 2.5 Pro | GPT-5.2 | Result |
|---|---|---|---|
| GPQASource | 83% | 92.4% | GPT-5.2 leads |
| HLESource | 18.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.8% | 42.2% | GPT-5.2 leads |
| AA-GPQA DiamondSource | 84.4% | 90.3% | GPT-5.2 leads |
| AA-HLESource | 21.1% | 35.4% | GPT-5.2 leads |
| AA-Omniscience IndexSource | -14.3% | -1.0% | GPT-5.2 leads |
| AA-Omniscience AccuracySource | 39.0% | 43.8% | GPT-5.2 leads |
| AA-Omniscience Hallucination RateSource | 87.4% | 79.7% | GPT-5.2 leads |
MathGPT-5.2 wins3 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 2.5 Pro | GPT-5.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 48.7% | 75.4% | GPT-5.2 leads |
Frequently Asked Questions (4)
Which is better, Gemini 2.5 Pro or GPT-5.2?
GPT-5.2 is ahead on BenchLM's BenchAlign leaderboard, 58.43 to 57.25. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 14.138% and 40.700%.
Which is better for knowledge tasks, Gemini 2.5 Pro or GPT-5.2?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 27.4. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.
Which is better for coding, Gemini 2.5 Pro or GPT-5.2?
GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 63.8. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
Which is better for math, Gemini 2.5 Pro or GPT-5.2?
GPT-5.2 has the edge for math in this comparison, averaging 35.2 versus 11.6. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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