# Gemini 1.5 Pro (May 2024) vs GPT-6 Astra

> GPT-6 Astra is the stronger model overall, scoring 70.8 to 32.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-gpt-6-astra
- Last updated: 2026-10-10
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and GPT-6 Astra in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 12.3.
- The biggest single-benchmark swing is ARC-AGI-2: 0.8% for Gemini 1.5 Pro (May 2024) and 95% for GPT-6 Astra.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 32.1 | 70.8 |
| Rank | 261 | 1 |
| Context | — | 1.05M |
| Input $/M | — | $10 |
| Output $/M | — | $50 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 1.5 Pro (May 2024): 34.2 (#241)
- GPT-6 Astra: 73.7 (#2)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| WeirdML | 22.2% | 93.6% |
| LMArena Coding | 1294 | 1487 |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| LMArena WebDev | — | 1786 |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| GSO | — | 79.4% |
| BigCodeBench Instruct | 43.8% | — |
| MirrorCode | — | 46.7% |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 2,951 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.9 (#145)
- GPT-6 Astra: 52.9 (#3)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| BALROG | 21% | 68.3% |
| APEX-Agents | — | 64.7% |
| Remote Labor Index | — | 20.8% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| GDP.pdf | — | 34.2% |
| Vending-Bench 2 | — | 15,515 |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#338)
- GPT-6 Astra: 85.1 (#1)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| ARC-AGI-2 | 0.8% | 95% |
| LMArena Hard Prompts | 1296 | 1462 |
| DTBench | 59% | 97.3% |
| Epoch Capabilities Index | 131.73 | 166.45 |
| SimpleBench | 27.1% | — |
| NYT Connections (extended) | — | 98.1% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| Chess Puzzles | — | 72% |
| EBR-Bench | — | 76.2% |
| Mystery Game Puzzles | — | 84% |
| LMCA | — | 64.4% |
| Bench to the Future 3 | — | 0.14 |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |

## Math

- Gemini 1.5 Pro (May 2024): 25.8 (#266)
- GPT-6 Astra: 93.5 (#2)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 100% |
| LMArena Math | 1315 | 1465 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 97.6% |
| ProofBench | — | 99% |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
| FrontierMath Erdős | — | 2.9% |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.4 (#239)
- GPT-6 Astra: 75.3 (#1)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 57.2% | 95.8% |
| Humanity's Last Exam | 4.6% | 54.8% |
| LMArena Expert | 1279 | 1483 |
| SimpleQA Verified | — | 75.6% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 8.7% |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.8 (#77)
- GPT-6 Astra: 55.0 (#3)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| LMArena Vision | 1161 | 1281 |
| Video-MME | 75% | — |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.3 (#174)
- GPT-6 Astra: 53.7 (#61)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1312 | 1430 |
| LMArena Chinese | 1331 | 1484 |
| LMArena French | 1302 | 1456 |
| LMArena German | 1286 | 1440 |
| LMArena Japanese | 1292 | 1379 |
| LMArena Korean | 1298 | 1426 |
| LMArena Russian | 1320 | 1436 |
| LMArena Spanish | 1311 | 1407 |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.6 (#185)
- GPT-6 Astra: 76.3 (#44)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1297 | 1450 |
| IFEval | 83.7% | — |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.8 (#169)
- GPT-6 Astra: 44.5 (#62)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1308 | 1456 |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.4 (#172)
- GPT-6 Astra: 75.3 (#7)

| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1319 | 1441 |
| LMArena Creative Writing | 1333 | 1418 |
| LMArena Multi-Turn | 1296 | 1448 |
| EQ-Bench Creative Writing | — | 2173 |
| WildBench | 81.3% | — |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than GPT-6 Astra?

GPT-6 Astra is the stronger model overall, scoring 70.8 to 32.1 on the Noometry Index.

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

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 34.2 in the Noometry coding category.

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

26 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GPT-6 Astra has 56.