# Gemini 1.5 Pro (May 2024) vs GPT-6.1 Sol

> Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#253); GPT-6.1 Sol does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-gpt-6-1-sol
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 33.8.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 31.9 | 42.1 |
| Rank | 253 | — |
| Context | — | 1.05M |
| Input $/M | — | $2 |
| Output $/M | — | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 1.5 Pro (May 2024): 33.8 (#239)
- GPT-6.1 Sol: 51.4

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| DeepSWE | — | 75.2% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| LMArena Coding | 1294 | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.8 (#137)
- GPT-6.1 Sol: 34.3

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
| GDP.pdf | — | 32% |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#332)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| LMArena Hard Prompts | 1296 | — |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| Epoch Capabilities Index | 131.73 | — |
| ForecastBench | 58.4 | — |

## Math

- Gemini 1.5 Pro (May 2024): 24.4 (#260)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| LMArena Math | 1315 | — |
| MATH Level 5 | 70.4% | — |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.3 (#228)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| LMArena Expert | 1279 | — |
| MMLU | 86.9% | — |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.2 (#72)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.5 (#169)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1312 | — |
| LMArena Chinese | 1331 | — |
| LMArena French | 1301 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1320 | — |
| LMArena Spanish | 1310 | — |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.8 (#180)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| IFEval | 83.7% | — |
| LMArena Instruction Following | 1297 | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.7 (#164)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1308 | — |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.5 (#167)
- GPT-6.1 Sol: —

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1319 | — |
| LMArena Creative Writing | 1333 | — |
| WildBench | 81.3% | — |
| LMArena Multi-Turn | 1296 | — |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than GPT-6.1 Sol?

Gemini 1.5 Pro (May 2024) has enough public results to be ranked (#253); GPT-6.1 Sol does not yet, so treat this comparison as directional.

### Is Gemini 1.5 Pro (May 2024) or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 33.8 in the Noometry coding category.

### How many benchmarks do Gemini 1.5 Pro (May 2024) and GPT-6.1 Sol share?

0 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GPT-6.1 Sol has 2.