Model comparison
Gemini 3 Pro vs GPT-5.5
Head-to-head evidence from 19 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-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3 Pro and GPT-5.5 share 19 comparable benchmark results. 3 of 8 categories are comparable. 8 results are unique to Gemini 3 Pro; 38 to GPT-5.5.
Updated July 23, 2026- Shared results
- 19
- Gemini 3 Pro only
- 8
- GPT-5.5 only
- 38
- Comparable categories
- 3 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 19 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-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 67.73. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in reasoning, where it averages 85 against 31.1. The single biggest benchmark swing on the page is ARC-AGI-2, 31.1% to 85%. Gemini 3 Pro does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $2.00 input / $12.00 output per 1M tokens for Gemini 3 Pro. That is roughly 2.5x on output cost alone. GPT-5.5 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 1M for GPT-5.5.
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-5.5 |
|---|---|---|---|
| Reasoning | Gemini 3 Pro31.1 | Margin→ 53.9 | GPT-5.585.0 |
| Math | Gemini 3 Pro32.9 | Margin→ 14.7 | GPT-5.547.6 |
| Multimodal | Gemini 3 Pro81.1 | Margin← 10.7 | GPT-5.570.4 |
| Agentic | Gemini 3 ProNot measured | MarginNo overlap | GPT-5.581.6 |
| Coding | Gemini 3 ProNot measured | MarginNo overlap | GPT-5.558.6 |
| Knowledge | Gemini 3 ProNot measured | MarginNo overlap | GPT-5.557.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
ARC-AGI-2
ReasoningA 31.1%B 85%Winner: GPT-5.5Δ 53.9ARC-AGI-2: Gemini 3 Pro scored 31.1%; GPT-5.5 scored 85%. GPT-5.5 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 18.750%B 35.400%Winner: GPT-5.5Δ 16.7FrontierMath v2 (Tier 4): Gemini 3 Pro scored 18.750%; GPT-5.5 scored 35.400%. GPT-5.5 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 37.600%B 51.700%Winner: GPT-5.5Δ 14.1FrontierMath v2 (Tiers 1-3): Gemini 3 Pro scored 37.600%; GPT-5.5 scored 51.700%. GPT-5.5 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 81%B 81.2%Winner: GPT-5.5Δ 0.2MMMU-Pro: Gemini 3 Pro scored 81%; GPT-5.5 scored 81.2%. GPT-5.5 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-5.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3 Pro$2 input / $12 output | GPT-5.5$5 input / $30 output | Gemini 3 Pro has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3 Pro109 tok/s | GPT-5.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3 Pro32.65 s | GPT-5.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3 Pro2M | GPT-5.51M | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic24 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 87.1% | 93.9% | GPT-5.5 leads |
| Gert LabsSource | 63.23% | 72.93% | GPT-5.5 leads |
| JobBenchSource | 11.4% | 42.7% | GPT-5.5 leads |
| Terminal-Bench 2.0Source | — | 82% | Not comparable |
| CyberGymSource | — | 81.8% | Not comparable |
| BrowseCompSource | — | 84.4% | Not comparable |
| OSWorld-VerifiedSource | — | 78.7% | Not comparable |
| MCP AtlasSource | — | 75.3% | Not comparable |
| ToolathlonSource | — | 55.6% | Not comparable |
| AA Agentic IndexSource | — | 44.9% | Not comparable |
| APEX-Agents-AASource | — | 37.7% | Not comparable |
| GDPval-AASource | — | 49.5% | Not comparable |
| GDPval-AASource | — | 1490 | Not comparable |
| ResearchClawBenchSource | — | 17.0% | Not comparable |
| OSWorld 2.0Source | — | 13.0% | Not comparable |
| ExploitGymSource | — | 13.4% | Not comparable |
| AA BriefcaseSource | — | 1154 | Not comparable |
| AA AutomationBenchSource | — | 42.1% | Not comparable |
| AA EnterpriseOps-GymSource | — | 46.6% | Not comparable |
| AA Harvey LABSource | — | 86.3% | Not comparable |
| AA ITBenchSource | — | 45.8% | Not comparable |
| AA Tau3 BankingSource | — | 31.3% | Not comparable |
| terminalBenchHardSource | — | 60.6% | Not comparable |
| aaTerminalBench21Source | — | 84.3% | Not comparable |
Coding10 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.5 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 14.30% | 69.85% | GPT-5.5 leads |
| AA-SciCodeSource | 56.1% | 56.1% | Tie |
| AA LiveCodeBenchSource | 91.7% | — | Not comparable |
| SWE-bench ProSource | — | 58.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 82.0% | Not comparable |
| React Native EvalsSource | — | 84.7% | Not comparable |
| cursorBench31Source | — | 59.2% | Not comparable |
| cursorBench32Source | — | 58.4% | Not comparable |
| AA Coding IndexSource | — | 74.9% | Not comparable |
| FrontierCode 1.1 MainSource | — | 43.0% | Not comparable |
ReasoningGPT-5.5 wins5 benchmarks
Knowledge11 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 39.5% | 54.8% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 90.8% | 93.5% | GPT-5.5 leads |
| AA-HLESource | 37.2% | 44.3% | GPT-5.5 leads |
| AA-Omniscience IndexSource | 15.8% | 20.1% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 55.9% | 56.9% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 90.9% | 85.5% | GPT-5.5 leads |
| AA MMLU-ProSource | 89.8% | — | Not comparable |
| GPQASource | — | 93.6% | Not comparable |
| GPQA-DSource | — | 93.6% | Not comparable |
| HLESource | — | 52.2% | Not comparable |
| HLE w/o toolsSource | — | 41.4% | Not comparable |
MathGPT-5.5 wins3 benchmarks
Multilingual1 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.5 | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
MultimodalGemini 3 Pro wins10 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.5 | Result |
|---|---|---|---|
| MMMU-ProSource | 81% | 81.2% | GPT-5.5 leads |
| MathVisionSource | 86.6% | — | Not comparable |
| VideoMMMUSource | 87.6% | — | Not comparable |
| ScreenSpot ProSource | 72.7% | — | Not comparable |
| CharXivSource | 81.4% | — | Not comparable |
| V*Source | 88.0% | — | Not comparable |
| AA-MMMU-ProSource | 80.2% | 79.9% | Gemini 3 Pro leads |
| MMMU-Pro w/ PythonSource | — | 83.2% | Not comparable |
| OfficeQA ProSource | — | 54.1% | Not comparable |
| Design Arena WebsiteSource | — | 1282 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.4% | 75.9% | GPT-5.5 leads |
Frequently Asked Questions (4)
Which is better, Gemini 3 Pro or GPT-5.5?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 67.73. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 31.1% and 85%.
Which is better for math, Gemini 3 Pro or GPT-5.5?
GPT-5.5 has the edge for math in this comparison, averaging 47.6 versus 32.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for reasoning, Gemini 3 Pro or GPT-5.5?
GPT-5.5 has the edge for reasoning in this comparison, averaging 85 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-5.5?
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 70.4. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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