Model comparison
Gemini 3.1 Pro Preview vs GPT-4o
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 28.6 on the Noometry Index.
Last verified . 41 shared benchmarks.
Summary
- They share 41 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 10 categories and GPT-4o in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 9.4.
- The biggest single-benchmark swing is ARC-AGI-1: 98% for Gemini 3.1 Pro Preview and 4.5% for GPT-4o.
- Both cost about the same: $2 input and $12 output per million tokens.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 128K.
Side by side
| Gemini 3.1 Pro Preview | GPT-4o | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.7 | 28.6 |
| Released | 2026-02-19 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 128K |
| Max output | 66K | 16K |
| Input $ / M tokens | $2 | $2.50 |
| Output $ / M tokens | $12 | $10 |
| Results tracked | 71 | 72 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), GPT-4o: 24.8 (#328)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| SWE-bench Verified | 75.6% | 31% |
| GSO | 22.6% | 0% |
| WeirdML | 72.1% | 25.1% |
| LMArena Coding | 1484 | 1297 |
| DeepSWE | 11.7% | — |
| SWE-bench Verified (bash only) | — | 21.6% |
| Aider Polyglot | — | 45.3% |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| BigCodeBench Instruct | — | 51.1% |
| LiveBench Coding | — | 51.4% |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 61.1% |
| CadEval | — | 26% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 37.7 (#34), GPT-4o: 21.0 (#141)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| BALROG | 57% | 32.3% |
| LMArena Search | 1211 | 1006 |
| METR Time Horizons | 77% | 40.8% |
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 35.3% | — |
| GDPval | — | 9.9% |
| TheAgentCompany | — | 8.6% |
| τ²-bench Banking | 26% | — |
| Cybench | — | 12.5% |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), GPT-4o: 9.4 (#343)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| ARC-AGI-2 | 77.1% | 0% |
| SimpleBench | 79.6% | 17.8% |
| ARC-AGI-1 | 98% | 4.5% |
| CritPt | 17.7% | 0% |
| Chess Puzzles | 55% | 13% |
| EnigmaEval | 36.8% | 0.8% |
| LMArena Hard Prompts | 1485 | 1281 |
| DTBench | 97.1% | 64.5% |
| LMCA | 53.8% | 16.6% |
| Epoch Capabilities Index | 154.77 | 128.97 |
| ForecastBench | 59 | 57.7 |
| NYT Connections (extended) | 97.4% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| LiveBench Reasoning | — | 55.8% |
| Mystery Game Puzzles | 34% | — |
| LiveBench Data Analysis | — | 60.9% |
| LiveBench | — | 55.3% |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), GPT-4o: 10.6 (#312)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | 0.4% |
| OTIS Mock AIME 2024-2025 | 95.6% | 6.4% |
| LMArena Math | 1485 | 1285 |
| FrontierMath (Feb 2025 set) | 36.9% | 0.3% |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| Omni-MATH | — | 29.3% |
| LiveBench Math | — | 49.5% |
| MATH Level 5 | — | 53.3% |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), GPT-4o: 28.8 (#242)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| GPQA Diamond | 94.4% | 49.2% |
| Humanity's Last Exam | 46.4% | 2.7% |
| SimpleQA Verified | 73.5% | 26% |
| Vectara Hallucination Rate | 10.4% | 9.6% |
| LMArena Expert | 1485 | 1250 |
| MMLU-Pro | — | 71.3% |
| Confabulations | — | 15.3% |
| GPQA (HELM) | — | 52% |
| MMLU | — | 88.1% |
Multimodal Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 37.9 (#69), GPT-4o: 34.5 (#91)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| LMArena Vision | 1296 | 1137 |
| Video-MME | — | 71.9% |
| GeoBench | — | 71% |
| VPCT | — | 40% |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
| ScienceQA | — | 88.5% |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), GPT-4o: 43.2 (#186)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| LMArena Non-English | 1477 | 1283 |
| LMArena Chinese | 1529 | 1277 |
| LMArena French | 1487 | 1304 |
| LMArena German | 1491 | 1282 |
| LMArena Japanese | 1493 | 1257 |
| LMArena Korean | 1455 | 1234 |
| LMArena Russian | 1498 | 1286 |
| LMArena Spanish | 1479 | 1292 |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), GPT-4o: 66.6 (#207)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| LMArena Instruction Following | 1466 | 1278 |
| LiveBench Instruction Following | — | 68.6% |
| IFEval | — | 81.7% |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), GPT-4o: 39.4 (#179)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| LMArena Longer Query | 1483 | 1289 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), GPT-4o: 52.6 (#166)
| Benchmark | Gemini 3.1 Pro Preview | GPT-4o |
|---|---|---|
| LMArena Text | 1481 | 1300 |
| LMArena Creative Writing | 1482 | 1292 |
| LMArena Multi-Turn | 1488 | 1302 |
| Short-Story Creative Writing | — | 81.8% |
| EQ-Bench Creative Writing | 1491 | — |
| WildBench | — | 82.8% |
| EQ-Bench 4 | 1142 | — |
| LiveBench Language | — | 47.6% |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than GPT-4o?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 28.6 on the Noometry Index.
Which is cheaper, Gemini 3.1 Pro Preview or GPT-4o?
GPT-4o is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or GPT-4o better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 24.8 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 128K.
How many benchmarks do Gemini 3.1 Pro Preview and GPT-4o share?
41 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and GPT-4o has 72.