Model comparison
Gemini 3.1 Pro Preview vs GPT-5.5 Pro
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 56.7 on the Noometry Index. Gemini 3.1 Pro Preview costs 15× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 1 category and GPT-5.5 Pro in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 84.0 to 62.1.
- The biggest single-benchmark swing is FrontierMath Tier 4: 26.8% for Gemini 3.1 Pro Preview and 78% for GPT-5.5 Pro.
- Gemini 3.1 Pro Preview is cheaper at $2 / $12 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 3.1 Pro Preview | GPT-5.5 Pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.7 | 64.3 |
| Released | 2026-02-19 | 2026-04-23 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $2 | $30 |
| Output $ / M tokens | $12 | $180 |
| Results tracked | 71 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Gemini 3.1 Pro Preview: 42.5 (#99), GPT-5.5 Pro: —
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| WeirdML | 72.1% | — |
| LMArena Coding | 1484 | — |
| MirrorCode | 8.9% | — |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Not comparable
Gemini 3.1 Pro Preview: 37.7 (#34), GPT-5.5 Pro: —
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning GPT-5.5 Pro leads
Gemini 3.1 Pro Preview: 71.7 (#12), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | 77.1% | 84.6% |
| SimpleBench | 79.6% | 76.9% |
| ARC-AGI-1 | 98% | 96.5% |
| CritPt | 17.7% | 30.6% |
| Chess Puzzles | 55% | 64% |
| DTBench | 97.1% | 96% |
| LMCA | 53.8% | 53.9% |
| Epoch Capabilities Index | 154.77 | 162.07 |
| NYT Connections (extended) | 97.4% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1485 | — |
| Mystery Game Puzzles | 34% | — |
| ForecastBench | 59 | — |
Math GPT-5.5 Pro leads
Gemini 3.1 Pro Preview: 62.1 (#34), GPT-5.5 Pro: 84.0 (#10)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | 87.7% |
| FrontierMath Tier 4 | 26.8% | 78% |
| OTIS Mock AIME 2024-2025 | 95.6% | 100% |
| FrontierMath (Feb 2025 set) | 36.9% | 52.4% |
| FrontierMath Tier 4 (v1) | 16.7% | 39.6% |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| LMArena Math | 1485 | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), GPT-5.5 Pro: 64.1 (#19)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | 94.4% | 93.9% |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
| LMArena Expert | 1485 | — |
Multimodal Not comparable
Gemini 3.1 Pro Preview: 37.9 (#69), GPT-5.5 Pro: —
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Not comparable
Gemini 3.1 Pro Preview: 57.0 (#12), GPT-5.5 Pro: —
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1477 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1487 | — |
| LMArena German | 1491 | — |
| LMArena Japanese | 1493 | — |
| LMArena Korean | 1455 | — |
| LMArena Russian | 1498 | — |
| LMArena Spanish | 1479 | — |
Instruction Following Not comparable
Gemini 3.1 Pro Preview: 77.0 (#32), GPT-5.5 Pro: —
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1466 | — |
Long Context Not comparable
Gemini 3.1 Pro Preview: 47.4 (#18), GPT-5.5 Pro: —
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
| LMArena Longer Query | 1483 | — |
Writing & Preference Not comparable
Gemini 3.1 Pro Preview: 66.1 (#37), GPT-5.5 Pro: —
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1481 | — |
| LMArena Creative Writing | 1482 | — |
| EQ-Bench Creative Writing | 1491 | — |
| EQ-Bench 4 | 1142 | — |
| LMArena Multi-Turn | 1488 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than GPT-5.5 Pro?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 56.7 on the Noometry Index. Gemini 3.1 Pro Preview costs 15× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview or GPT-5.5 Pro?
Gemini 3.1 Pro Preview is cheaper. It lists at $2 per million input tokens and $12 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 3.1 Pro Preview and GPT-5.5 Pro share?
14 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and GPT-5.5 Pro has 14.