Model comparison
Gemini 3 Pro vs GPT-5.2
Head-to-head evidence from 21 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3 Pro #19 (Supported); GPT-5.2 #64 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3 Pro and GPT-5.2 share 21 comparable benchmark results. 3 of 8 categories are comparable. 6 results are unique to Gemini 3 Pro; 7 to GPT-5.2.
Updated July 20, 2026- Shared results
- 21
- Gemini 3 Pro only
- 6
- GPT-5.2 only
- 7
- Comparable categories
- 3 / 8
Pick Gemini 3 Pro if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if reasoning is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 21 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
Gemini 3 Pro is clearly ahead on the BenchAlign aggregate, 67.73 to 58.43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 81.1 against 80.4. The single biggest benchmark swing on the page is ARC-AGI-2, 31.1% to 52.9%. GPT-5.2 does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3 Pro. GPT-5.2 is the reasoning model in the pair, while Gemini 3 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 3 Pro gives you the larger context window at 2M, 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 3 Pro | Δ | GPT-5.2 |
|---|---|---|---|
| Reasoning | Gemini 3 Pro31.1 | Margin→ 21.8 | GPT-5.252.9 |
| Math | Gemini 3 Pro32.9 | Margin→ 2.3 | GPT-5.235.2 |
| Multimodal | Gemini 3 Pro81.1 | Margin← 0.7 | GPT-5.280.4 |
| Agentic | Gemini 3 ProNot measured | MarginNo overlap | GPT-5.255.7 |
| Coding | Gemini 3 ProNot measured | MarginNo overlap | GPT-5.270.6 |
| Knowledge | Gemini 3 ProNot measured | MarginNo overlap | GPT-5.292.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
ARC-AGI-2
ReasoningA 31.1%B 52.9%Winner: GPT-5.2Δ 21.8ARC-AGI-2: Gemini 3 Pro scored 31.1%; GPT-5.2 scored 52.9%. GPT-5.2 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 37.600%B 40.700%Winner: GPT-5.2Δ 3.1FrontierMath v2 (Tiers 1-3): Gemini 3 Pro scored 37.600%; GPT-5.2 scored 40.700%. GPT-5.2 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 81%B 79.5%Winner: Gemini 3 ProΔ 1.5MMMU-Pro: Gemini 3 Pro scored 81%; GPT-5.2 scored 79.5%. Gemini 3 Pro wins this benchmark. - Source ↗
CharXiv
MultimodalA 81.4%B 82.1%Winner: GPT-5.2Δ 0.7CharXiv: Gemini 3 Pro scored 81.4%; GPT-5.2 scored 82.1%. GPT-5.2 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 18.750%B 18.800%Winner: GPT-5.2Δ 0.1FrontierMath v2 (Tier 4): Gemini 3 Pro scored 18.750%; GPT-5.2 scored 18.800%. 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 3 Pro | GPT-5.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3 Pro$2 input / $12 output | GPT-5.2$1.75 input / $14 output | Gemini 3 Pro has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3 Pro109 tok/s | GPT-5.273 tok/s | Gemini 3 Pro has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 3 Pro32.65 s | GPT-5.2130.34 s | Gemini 3 Pro reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 3 Pro2M | GPT-5.2400K | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding5 benchmarks
ReasoningGPT-5.2 wins3 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 39.5% | 42.2% | GPT-5.2 leads |
| AA-GPQA DiamondSource | 90.8% | 90.3% | Gemini 3 Pro leads |
| AA-HLESource | 37.2% | 35.4% | Gemini 3 Pro leads |
| AA-Omniscience IndexSource | 15.8% | -1.0% | Gemini 3 Pro leads |
| AA-Omniscience AccuracySource | 55.9% | 43.8% | Gemini 3 Pro leads |
| AA-Omniscience Hallucination RateSource | 90.9% | 79.7% | GPT-5.2 leads |
| AA MMLU-ProSource | 89.8% | — | Not comparable |
| GPQASource | — | 92.4% | Not comparable |
MathGPT-5.2 wins3 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.2 | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
MultimodalGemini 3 Pro wins8 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.2 | Result |
|---|---|---|---|
| MMMU-ProSource | 81% | 79.5% | Gemini 3 Pro leads |
| MathVisionSource | 86.6% | 83.0% | Gemini 3 Pro leads |
| VideoMMMUSource | 87.6% | — | Not comparable |
| ScreenSpot ProSource | 72.7% | — | Not comparable |
| CharXivSource | 81.4% | 82.1% | GPT-5.2 leads |
| V*Source | 88.0% | 75.9% | Gemini 3 Pro leads |
| AA-MMMU-ProSource | 80.2% | — | Not comparable |
| Design Arena WebsiteSource | — | 1227 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.4% | 75.4% | GPT-5.2 leads |
Frequently Asked Questions (4)
Which is better, Gemini 3 Pro or GPT-5.2?
Gemini 3 Pro is ahead on BenchLM's BenchAlign leaderboard, 67.73 to 58.43. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 31.1% and 52.9%.
Which is better for math, Gemini 3 Pro or GPT-5.2?
GPT-5.2 has the edge for math in this comparison, averaging 35.2 versus 32.9. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Which is better for reasoning, Gemini 3 Pro or GPT-5.2?
GPT-5.2 has the edge for reasoning in this comparison, averaging 52.9 versus 31.1. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Gemini 3 Pro or GPT-5.2?
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 80.4. Inside this category, V* is the benchmark that creates the most daylight between them.
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