Model comparison
Gemini 3.1 Pro Preview vs GPT-5.5
GPT-5.5 is the stronger model overall, scoring 63.4 to 56.7 on the Noometry Index. Gemini 3.1 Pro Preview costs 2.5× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Last verified . 64 shared benchmarks.
Summary
- They share 64 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 2 categories and GPT-5.5 in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 leads 81.7 to 62.1.
- The biggest single-benchmark swing is DeepSWE: 11.7% for Gemini 3.1 Pro Preview and 67% for GPT-5.5.
- Gemini 3.1 Pro Preview is cheaper at $2 / $12 per million input/output tokens, against $5 / $30 for GPT-5.5.
- GPT-5.5 accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 3.1 Pro Preview | GPT-5.5 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.7 | 63.4 |
| Released | 2026-02-19 | 2026-04-23 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $2 | $5 |
| Output $ / M tokens | $12 | $30 |
| Results tracked | 71 | 71 |
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Category by category
Coding GPT-5.5 leads
Gemini 3.1 Pro Preview: 42.5 (#99), GPT-5.5: 58.2 (#17)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| SWE-bench Verified | 75.6% | 80.6% |
| DeepSWE | 11.7% | 67% |
| LMArena WebDev | 1447 | 1513 |
| SciCode | 58.9% | 56.1% |
| GSO | 22.6% | 40.2% |
| WeirdML | 72.1% | 84.9% |
| LMArena Coding | 1484 | 1494 |
| MirrorCode | 8.9% | 10% |
| ALE-Bench | 1,161 | 1,943 |
| FrontierCode | — | 43% |
| AlgoTune | 2.02 | — |
Agentic & Tool Use GPT-5.5 leads
Gemini 3.1 Pro Preview: 37.7 (#34), GPT-5.5: 50.7 (#6)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| Terminal-Bench | 80.2% | 84.7% |
| APEX-Agents | 35.3% | 55.1% |
| τ²-bench Banking | 26% | 44.6% |
| DeepResearch Bench | 47.8% | 54% |
| PostTrainBench | 22% | 27.2% |
| ExploitBench | 26.1% | 47.4% |
| GBAEval | 0.8% | 53.2% |
| GDP.pdf | 17% | 26% |
| LMArena Search | 1211 | 1242 |
| Vending-Bench 2 | 3,774 | 7,524 |
| OSWorld 2.0 | — | 13% |
| Remote Labor Index | — | 6.3% |
| BALROG | 57% | — |
| METR Time Horizons | 77% | — |
Reasoning GPT-5.5 leads
Gemini 3.1 Pro Preview: 71.7 (#12), GPT-5.5: 72.8 (#11)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| ARC-AGI-2 | 77.1% | 85% |
| SimpleBench | 79.6% | 69% |
| NYT Connections (extended) | 97.4% | 96.2% |
| ARC-AGI-1 | 98% | 95% |
| CritPt | 17.7% | 27.1% |
| Chess Puzzles | 55% | 54% |
| EBR-Bench | 14.3% | 34.3% |
| LMArena Hard Prompts | 1485 | 1489 |
| Mystery Game Puzzles | 34% | 56% |
| DTBench | 97.1% | 96% |
| LMCA | 53.8% | 54.3% |
| Epoch Capabilities Index | 154.77 | 159.1 |
| ForecastBench | 59 | 60.6 |
| Kagi LLM Benchmark | — | 88.8% |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| Surface Evolver Bench | — | 88.1% |
| Bench to the Future 3 | — | 0.14 |
Math GPT-5.5 leads
Gemini 3.1 Pro Preview: 62.1 (#34), GPT-5.5: 81.7 (#11)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | 85.3% |
| FrontierMath Tier 4 | 26.8% | 72.5% |
| MathArena Final-Answer Competitions | 86.5% | 94.3% |
| OTIS Mock AIME 2024-2025 | 95.6% | 100% |
| ProofBench | 26% | 50% |
| LMArena Math | 1485 | 1486 |
| FrontierMath (Feb 2025 set) | 36.9% | 51.7% |
| FrontierMath Tier 4 (v1) | 16.7% | 35.4% |
| FrontierMath Erdős | — | 0% |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), GPT-5.5: 64.4 (#17)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| GPQA Diamond | 94.4% | 94% |
| SimpleQA Verified | 73.5% | 63% |
| Vectara Hallucination Rate | 10.4% | 9.3% |
| LMArena Expert | 1485 | 1508 |
| Humanity's Last Exam | 46.4% | — |
Multimodal GPT-5.5 leads
Gemini 3.1 Pro Preview: 37.9 (#69), GPT-5.5: 46.9 (#12)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| LMArena Vision | 1296 | 1297 |
| Blueprint-Bench 2 | 26.5% | 36.2% |
| Furniture Assembly | 26.7% | 44.2% |
| LMArena Document | 1444 | 1486 |
Multilingual Too close to call
Gemini 3.1 Pro Preview: 57.0 (#12), GPT-5.5: 56.4 (#20)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| LMArena Non-English | 1477 | 1467 |
| LMArena Chinese | 1529 | 1533 |
| LMArena French | 1487 | 1486 |
| LMArena German | 1491 | 1480 |
| LMArena Japanese | 1493 | 1498 |
| LMArena Korean | 1455 | 1460 |
| LMArena Russian | 1498 | 1473 |
| LMArena Spanish | 1479 | 1468 |
Instruction Following Too close to call
Gemini 3.1 Pro Preview: 77.0 (#32), GPT-5.5: 77.5 (#18)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1479 |
Long Context Too close to call
Gemini 3.1 Pro Preview: 47.4 (#18), GPT-5.5: 48.3 (#12)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| CL-bench Life | 16.9% | 22.2% |
| LMArena Longer Query | 1483 | 1484 |
| CL-bench | 20.8% | — |
Writing & Preference GPT-5.5 leads
Gemini 3.1 Pro Preview: 66.1 (#37), GPT-5.5: 72.7 (#13)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.5 |
|---|---|---|
| LMArena Text | 1481 | 1472 |
| LMArena Creative Writing | 1482 | 1455 |
| EQ-Bench Creative Writing | 1491 | 1844 |
| EQ-Bench 4 | 1142 | 1315 |
| LMArena Multi-Turn | 1488 | 1476 |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than GPT-5.5?
GPT-5.5 is the stronger model overall, scoring 63.4 to 56.7 on the Noometry Index. Gemini 3.1 Pro Preview costs 2.5× less per token, which makes it the better buy when GPT-5.5's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview or GPT-5.5?
Gemini 3.1 Pro Preview is cheaper. It lists at $2 per million input tokens and $12 per million output tokens; GPT-5.5 lists at $5 and $30.
Is Gemini 3.1 Pro Preview or GPT-5.5 better for coding?
GPT-5.5 scores higher on coding benchmarks: 58.2 versus 42.5 in the Noometry coding category.
Which has the bigger context window?
GPT-5.5 does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 3.1 Pro Preview and GPT-5.5 share?
64 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and GPT-5.5 has 71.