# Gemini 3.8 Flash vs GPT-4.5

> Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 36.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-gpt-4-5
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 10 categories and GPT-4.5 in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 64.7 to 14.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Gemini 3.8 Flash and 37.8% for GPT-4.5.

## Snapshot

| | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 59.5 | 36.9 |
| Rank | 13 | 200 |
| Context | 1.05M | — |
| Input $/M | $0.75 | — |
| Output $/M | $3.75 | — |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.8 Flash: 56.4 (#17)
- GPT-4.5: 41.8 (#102)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Coding | 1512 | 1397 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| Aider Polyglot | — | 44.9% |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1581 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | — | 39.4% |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 1,270 | — |

## Agentic & Tool Use

- Gemini 3.8 Flash: 40.3 (#22)
- GPT-4.5: 27.6 (#92)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Cybench | — | 17.5% |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |

## Reasoning

- Gemini 3.8 Flash: 64.7 (#13)
- GPT-4.5: 14.1 (#320)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1404 |
| Epoch Capabilities Index | 157.13 | 136.74 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | — | 10.3% |
| CritPt | 18.3% | — |
| Chess Puzzles | 61% | — |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| Mystery Game Puzzles | 47% | — |
| DTBench | 95.7% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 52.9% | — |
| Surface Evolver Bench | 76.9% | — |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |

## Math

- Gemini 3.8 Flash: 65.2 (#22)
- GPT-4.5: 31.0 (#200)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 37.8% |
| LMArena Math | 1528 | 1412 |
| FrontierMath (Tiers 1-3) | 68.4% | — |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |

## Knowledge

- Gemini 3.8 Flash: 74.9 (#2)
- GPT-4.5: 32.4 (#205)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 95.4% | 68.7% |
| Humanity's Last Exam | 44.5% | 5.4% |
| LMArena Expert | 1529 | 1394 |
| SimpleQA Verified | 69.7% | — |
| Confabulations | — | 13.6% |

## Multimodal

- Gemini 3.8 Flash: 40.9 (#33)
- GPT-4.5: 37.0 (#68)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Vision | 1312 | 1195 |
| VPCT | — | 45% |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |

## Multilingual

- Gemini 3.8 Flash: 57.9 (#5)
- GPT-4.5: 52.7 (#78)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1486 | 1413 |
| LMArena Chinese | 1547 | 1421 |
| LMArena French | 1502 | 1417 |
| LMArena German | 1470 | 1457 |
| LMArena Japanese | 1505 | 1416 |
| LMArena Korean | 1479 | 1392 |
| LMArena Russian | 1507 | 1419 |
| LMArena Spanish | 1492 | — |

## Instruction Following

- Gemini 3.8 Flash: 78.2 (#11)
- GPT-4.5: 72.8 (#129)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1489 | 1404 |
| LiveBench Instruction Following | — | 72.3% |

## Long Context

- Gemini 3.8 Flash: 46.2 (#23)
- GPT-4.5: 40.4 (#150)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1506 | 1406 |
| Fiction.LiveBench | — | 63.9% |

## Writing & Preference

- Gemini 3.8 Flash: 72.1 (#16)
- GPT-4.5: 57.1 (#129)

| Benchmark | Gemini 3.8 Flash | GPT-4.5 |
|---|---|---|
| LMArena Text | 1494 | 1417 |
| LMArena Creative Writing | 1485 | 1394 |
| EQ-Bench Creative Writing | 1748 | 1258 |
| LMArena Multi-Turn | 1503 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| LiveBench Language | — | 61.5% |

## FAQ

### Is Gemini 3.8 Flash better than GPT-4.5?

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 36.9 on the Noometry Index.

### Is Gemini 3.8 Flash or GPT-4.5 better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 56.4 versus 41.8 in the Noometry coding category.

### How many benchmarks do Gemini 3.8 Flash and GPT-4.5 share?

22 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and GPT-4.5 has 42.