# Gemini 3.7 Flash vs GPT-4.5

> Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 36.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-7-flash-vs-gpt-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 23

## Summary

- They share 23 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and GPT-4.5 in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.1 to 14.1.
- The biggest single-benchmark swing is ARC-AGI-1: 95.5% for Gemini 3.7 Flash and 10.3% for GPT-4.5.

## Snapshot

| | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 59.8 | 36.9 |
| Rank | 11 | 200 |
| Context | 1.05M | — |
| Input $/M | $0.75 | — |
| Output $/M | $3.75 | — |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.7 Flash: 55.7 (#19)
- GPT-4.5: 41.8 (#102)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| LMArena Coding | 1499 | 1397 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| Aider Polyglot | — | 44.9% |
| LMArena WebDev | 1593 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| WeirdML | — | 39.4% |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 904.3 | — |

## Agentic & Tool Use

- Gemini 3.7 Flash: 42.2 (#18)
- GPT-4.5: 27.6 (#92)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| Cybench | — | 17.5% |
| GDP.pdf | 23.8% | — |

## Reasoning

- Gemini 3.7 Flash: 70.1 (#12)
- GPT-4.5: 14.1 (#320)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 84.6% | 0.8% |
| ARC-AGI-1 | 95.5% | 10.3% |
| LMArena Hard Prompts | 1497 | 1404 |
| Epoch Capabilities Index | 157.72 | 136.74 |
| SimpleBench | — | 34.5% |
| NYT Connections (extended) | 94% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | 47% | — |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 50.4% | — |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |

## Math

- Gemini 3.7 Flash: 69.5 (#18)
- GPT-4.5: 31.0 (#200)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.2% | 37.8% |
| LMArena Math | 1511 | 1412 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |

## Knowledge

- Gemini 3.7 Flash: 69.8 (#4)
- GPT-4.5: 32.4 (#205)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 94.8% | 68.7% |
| LMArena Expert | 1508 | 1394 |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | 69.2% | — |
| Confabulations | — | 13.6% |

## Multimodal

- Gemini 3.7 Flash: 36.9 (#69)
- GPT-4.5: 37.0 (#68)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| LMArena Vision | 1314 | 1195 |
| VPCT | — | 45% |
| Furniture Assembly | 26.7% | — |

## Multilingual

- Gemini 3.7 Flash: 57.8 (#7)
- GPT-4.5: 52.7 (#78)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1485 | 1413 |
| LMArena Chinese | 1553 | 1421 |
| LMArena French | 1512 | 1417 |
| LMArena German | 1485 | 1457 |
| LMArena Japanese | 1506 | 1416 |
| LMArena Korean | 1486 | 1392 |
| LMArena Russian | 1519 | 1419 |
| LMArena Spanish | 1507 | — |

## Instruction Following

- Gemini 3.7 Flash: 78.0 (#12)
- GPT-4.5: 72.8 (#129)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1486 | 1404 |
| LiveBench Instruction Following | — | 72.3% |

## Long Context

- Gemini 3.7 Flash: 45.8 (#28)
- GPT-4.5: 40.4 (#150)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1493 | 1406 |
| Fiction.LiveBench | — | 63.9% |

## Writing & Preference

- Gemini 3.7 Flash: 71.4 (#19)
- GPT-4.5: 57.1 (#129)

| Benchmark | Gemini 3.7 Flash | GPT-4.5 |
|---|---|---|
| LMArena Text | 1487 | 1417 |
| LMArena Creative Writing | 1490 | 1394 |
| EQ-Bench Creative Writing | 1723 | 1258 |
| LMArena Multi-Turn | 1495 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| LiveBench Language | — | 61.5% |

## FAQ

### Is Gemini 3.7 Flash better than GPT-4.5?

Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 36.9 on the Noometry Index.

### Is Gemini 3.7 Flash or GPT-4.5 better for coding?

Gemini 3.7 Flash scores higher on coding benchmarks: 55.7 versus 41.8 in the Noometry coding category.

### How many benchmarks do Gemini 3.7 Flash and GPT-4.5 share?

23 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and GPT-4.5 has 42.