# Gemini 1.5 Flash (May 2024) vs GPT-6 Sol

> GPT-6 Sol is the stronger model overall, scoring 49.2 to 32.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-flash-vs-gpt-6-sol
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 0 categories and GPT-6 Sol in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 20.8.

## Snapshot

| | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 32.9 | 49.2 |
| Rank | 240 | 46 |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 1.5 Flash (May 2024): 33.9 (#233)
- GPT-6 Sol: 59.6 (#11)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1262 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |

## Agentic & Tool Use

- Gemini 1.5 Flash (May 2024): 26.3 (#97)
- GPT-6 Sol: 33.5 (#49)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| BALROG | 14.6% | — |
| GDP.pdf | — | 28% |

## Reasoning

- Gemini 1.5 Flash (May 2024): 20.8 (#212)
- GPT-6 Sol: 49.3 (#34)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1420 |
| NYT Connections (extended) | — | 90.1% |
| EBR-Bench | — | 53.3% |
| DTBench | 53.8% | — |
| Epoch Capabilities Index | 129.37 | — |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |

## Math

- Gemini 1.5 Flash (May 2024): 20.8 (#274)
- GPT-6 Sol: 35.8 (#135)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1269 | 1404 |
| OTIS Mock AIME 2024-2025 | 16.3% | — |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |

## Knowledge

- Gemini 1.5 Flash (May 2024): 26.2 (#253)
- GPT-6 Sol: 43.0 (#87)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1233 | 1449 |
| GPQA Diamond | 47.3% | — |
| MMLU-Pro | 67.8% | — |
| Vectara Hallucination Rate | — | 6.5% |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |

## Multimodal

- Gemini 1.5 Flash (May 2024): 35.3 (#76)
- GPT-6 Sol: 47.6 (#9)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
| Furniture Assembly | — | 58.3% |

## Multilingual

- Gemini 1.5 Flash (May 2024): 43.1 (#184)
- GPT-6 Sol: 51.0 (#113)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1278 | 1389 |
| LMArena Chinese | 1295 | 1416 |
| LMArena Russian | 1288 | 1407 |
| LMArena Spanish | 1242 | 1377 |
| LMArena French | 1257 | — |
| LMArena German | 1262 | — |
| LMArena Japanese | 1252 | — |
| LMArena Korean | 1220 | — |

## Instruction Following

- Gemini 1.5 Flash (May 2024): 67.0 (#199)
- GPT-6 Sol: 74.4 (#97)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1258 | 1406 |
| IFEval | 83.1% | — |

## Long Context

- Gemini 1.5 Flash (May 2024): 39.0 (#182)
- GPT-6 Sol: 43.2 (#100)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1284 | 1415 |

## Writing & Preference

- Gemini 1.5 Flash (May 2024): 48.9 (#190)
- GPT-6 Sol: 72.3 (#15)

| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1287 | 1396 |
| LMArena Creative Writing | 1285 | 1392 |
| LMArena Multi-Turn | 1253 | 1405 |
| EQ-Bench Creative Writing | — | 2125 |
| WildBench | 79.2% | — |

## FAQ

### Is Gemini 1.5 Flash (May 2024) better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 49.2 to 32.9 on the Noometry Index.

### Is Gemini 1.5 Flash (May 2024) or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 33.9 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-6 Sol share?

13 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-6 Sol has 22.