# Gemini 1.5 Flash (May 2024) vs GPT-5

> GPT-5 is the stronger model overall, scoring 50.9 to 32.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-gpt-5
- Last updated: 2026-10-10
- Shared benchmarks: 33

## Summary

- They share 33 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and GPT-5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 leads 54.6 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 91.4% for GPT-5.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 32.9 | 50.9 |
| Rank | 240 | 37 |
| Context | — | 400K |
| Input $/M | — | $1.25 |
| Output $/M | — | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 1.5 Flash (May 2024): 33.9 (#233)
- GPT-5: 50.7 (#39)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| WeirdML | 24.9% | 60.7% |
| LMArena Coding | 1262 | 1436 |
| SWE-bench Verified | — | 73.6% |
| SWE-bench Verified (bash only) | — | 65% |
| Aider Polyglot | — | 88% |
| LMArena WebDev | — | 1417 |
| SciCode | — | 42.9% |
| GSO | — | 6.9% |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 1,162 |
| AlgoTune | — | 1.67 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |

## Agentic & Tool Use

- Gemini 1.5 Flash (May 2024): 26.3 (#97)
- GPT-5: 33.0 (#53)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| BALROG | 14.6% | 32.8% |
| Terminal-Bench | — | 49.6% |
| GDPval | — | 34.8% |
| Remote Labor Index | — | 1.7% |
| DeepResearch Bench | — | 49.6% |
| LMArena Search | — | 1133 |
| METR Time Horizons | — | 69.6% |

## Reasoning

- Gemini 1.5 Flash (May 2024): 20.8 (#212)
- GPT-5: 38.3 (#55)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1415 |
| DTBench | 53.8% | 90.7% |
| Epoch Capabilities Index | 129.37 | 150 |
| ForecastBench | 53.9 | 61.4 |
| ARC-AGI-2 | — | 9.9% |
| SimpleBench | — | 56.7% |
| Kagi LLM Benchmark | — | 72.7% |
| ARC-AGI-1 | — | 65.7% |
| CritPt | — | 12.6% |
| Chess Puzzles | — | 37% |
| EnigmaEval | — | 10.5% |
| EBR-Bench | — | 12.7% |
| Mystery Game Puzzles | — | 23% |
| LMCA | — | 40% |
| PIQA | 87.5% | — |

## Math

- Gemini 1.5 Flash (May 2024): 20.8 (#274)
- GPT-5: 54.6 (#36)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 91.4% |
| Omni-MATH | 30.4% | 64.7% |
| LMArena Math | 1269 | 1406 |
| MATH Level 5 | 61.9% | 98.1% |
| FrontierMath (Feb 2025 set) | 0% | 32.4% |
| FrontierMath (Tiers 1-3) | — | 55.4% |
| FrontierMath Tier 4 | — | 22% |
| ProofBench | — | 18% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
| GSM8K | 82.4% | — |

## Knowledge

- Gemini 1.5 Flash (May 2024): 26.2 (#253)
- GPT-5: 56.5 (#37)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| GPQA Diamond | 47.3% | 86.2% |
| MMLU-Pro | 67.8% | 86.3% |
| GPQA (HELM) | 43.7% | 79.2% |
| LMArena Expert | 1233 | 1420 |
| Humanity's Last Exam | — | 25.3% |
| SimpleQA Verified | — | 50.1% |
| Confabulations | — | 10.3% |
| Vectara Hallucination Rate | — | 14.7% |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 35.3 (#76)
- GPT-5: 46.1 (#12)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| LMArena Vision | 1141 | 1232 |
| GeoBench | 76% | 81% |
| Video-MME | 70.3% | — |
| VPCT | — | 66% |

## Multilingual

- Gemini 1.5 Flash (May 2024): 43.1 (#184)
- GPT-5: 51.5 (#105)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| LMArena Non-English | 1278 | 1397 |
| LMArena Chinese | 1295 | 1423 |
| LMArena French | 1257 | 1409 |
| LMArena German | 1262 | 1415 |
| LMArena Japanese | 1252 | 1411 |
| LMArena Korean | 1220 | 1361 |
| LMArena Russian | 1288 | 1406 |
| LMArena Spanish | 1242 | 1398 |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 67.0 (#199)
- GPT-5: 74.0 (#107)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| IFEval | 83.1% | 87.5% |
| LMArena Instruction Following | 1258 | 1388 |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#182)
- GPT-5: 69.5 (#2)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| LMArena Longer Query | 1284 | 1399 |
| Fiction.LiveBench | — | 97.2% |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.9 (#190)
- GPT-5: 63.5 (#63)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-5 |
|---|---|---|
| LMArena Text | 1287 | 1406 |
| LMArena Creative Writing | 1285 | 1365 |
| WildBench | 79.2% | 85.7% |
| LMArena Multi-Turn | 1253 | 1426 |
| Short-Story Creative Writing | — | 86% |
| EQ-Bench Creative Writing | — | 1627 |

## FAQ

### Is Gemini 1.5 Flash (May 2024) better than GPT-5?

GPT-5 is the stronger model overall, scoring 50.9 to 32.9 on the Noometry Index.

### Is Gemini 1.5 Flash (May 2024) or GPT-5 better for coding?

GPT-5 scores higher on coding benchmarks: 50.7 versus 33.9 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-5 share?

33 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-5 has 69.