# Gemini 3.1 Pro Preview vs GPT-4

> Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-1-pro-preview-vs-gpt-4
- Last updated: 2026-10-10
- Shared benchmarks: 28

## Summary

- They share 28 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 8 categories and GPT-4 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 17.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 95.6% for Gemini 3.1 Pro Preview and 1.1% for GPT-4.
- Gemini 3.1 Pro Preview is cheaper at $2 / $12 per million input/output tokens, against $30 / $60 for GPT-4.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 8K.

## Snapshot

| | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 56.7 | 29.1 |
| Rank | 23 | 316 |
| Context | 1.05M | 8K |
| Input $/M | $2 | $30 |
| Output $/M | $12 | $60 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.1 Pro Preview: 42.5 (#99)
- GPT-4: 31.6 (#283)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| WeirdML | 72.1% | 12.4% |
| LMArena Coding | 1484 | 1254 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| SciCode | 58.9% | — |
| GSO | 22.6% | — |
| BigCodeBench Instruct | — | 46% |
| MirrorCode | 8.9% | — |
| BigCodeBench Complete | — | 57.2% |
| ALE-Bench | 1,161 | — |
| AlgoTune | 2.02 | — |
| HumanEval+ | — | 79.3% |

## Agentic & Tool Use

- Gemini 3.1 Pro Preview: 37.7 (#34)
- GPT-4: —

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| METR Time Horizons | 77% | 36.1% |
| 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 | — |
| Vending-Bench 2 | 3,774 | — |

## Reasoning

- Gemini 3.1 Pro Preview: 71.7 (#12)
- GPT-4: 17.8 (#289)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| Chess Puzzles | 55% | 4% |
| LMArena Hard Prompts | 1485 | 1241 |
| Mystery Game Puzzles | 34% | 12% |
| DTBench | 97.1% | 62.7% |
| LMCA | 53.8% | 17.1% |
| Epoch Capabilities Index | 154.77 | 125.89 |
| ForecastBench | 59 | 57.8 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| CritPt | 17.7% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| BIG-Bench Hard | — | 75.1% |
| HellaSwag | — | 95.3% |
| WinoGrande | — | 87.5% |

## Math

- Gemini 3.1 Pro Preview: 62.1 (#34)
- GPT-4: 10.8 (#309)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 1.1% |
| LMArena Math | 1485 | 1269 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| MATH Level 5 | — | 23% |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
| GSM8K | — | 92% |

## Knowledge

- Gemini 3.1 Pro Preview: 71.8 (#3)
- GPT-4: 18.4 (#282)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| GPQA Diamond | 94.4% | 35.7% |
| LMArena Expert | 1485 | 1211 |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| Vectara Hallucination Rate | 10.4% | — |
| MMLU | — | 86.4% |
| TriviaQA | — | 84.8% |

## Multimodal

- Gemini 3.1 Pro Preview: 37.9 (#69)
- GPT-4: —

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |

## Multilingual

- Gemini 3.1 Pro Preview: 57.0 (#12)
- GPT-4: 40.6 (#215)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| LMArena Non-English | 1477 | 1246 |
| LMArena Chinese | 1529 | 1242 |
| LMArena French | 1487 | 1283 |
| LMArena German | 1491 | 1251 |
| LMArena Japanese | 1493 | 1209 |
| LMArena Korean | 1455 | 1184 |
| LMArena Russian | 1498 | 1251 |
| LMArena Spanish | 1479 | 1261 |

## Instruction Following

- Gemini 3.1 Pro Preview: 77.0 (#32)
- GPT-4: 65.3 (#222)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| LMArena Instruction Following | 1466 | 1241 |

## Long Context

- Gemini 3.1 Pro Preview: 47.4 (#18)
- GPT-4: 37.7 (#212)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| LMArena Longer Query | 1483 | 1244 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |

## Writing & Preference

- Gemini 3.1 Pro Preview: 66.1 (#37)
- GPT-4: 34.9 (#268)

| Benchmark | Gemini 3.1 Pro Preview | GPT-4 |
|---|---|---|
| LMArena Text | 1481 | 1263 |
| LMArena Creative Writing | 1482 | 1244 |
| EQ-Bench Creative Writing | 1491 | 752 |
| LMArena Multi-Turn | 1488 | 1257 |
| EQ-Bench 4 | 1142 | — |

## FAQ

### Is Gemini 3.1 Pro Preview better than GPT-4?

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 29.1 on the Noometry Index.

### Which is cheaper, Gemini 3.1 Pro Preview or GPT-4?

Gemini 3.1 Pro Preview is cheaper. It lists at $2 per million input tokens and $12 per million output tokens; GPT-4 lists at $30 and $60.

### Is Gemini 3.1 Pro Preview or GPT-4 better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 31.6 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 8K.

### How many benchmarks do Gemini 3.1 Pro Preview and GPT-4 share?

28 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and GPT-4 has 38.