# Gemini 1.0 Pro vs GPT-6 Astra

> GPT-6 Astra is the stronger model overall, scoring 70.8 to 27.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-0-pro-vs-gpt-6-astra
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 0 categories and GPT-6 Astra in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.5 to 9.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemini 1.0 Pro and 100% for GPT-6 Astra.

## Snapshot

| | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 27.3 | 70.8 |
| Rank | 332 | 1 |
| Context | — | 1.05M |
| Input $/M | — | $10 |
| Output $/M | — | $50 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 1.0 Pro: 32.2 (#275)
- GPT-6 Astra: 73.7 (#2)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Coding | 1108 | 1487 |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| LMArena WebDev | — | 1786 |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| GSO | — | 79.4% |
| WeirdML | — | 93.6% |
| MirrorCode | — | 46.7% |
| ALE-Bench | — | 2,951 |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |

## Agentic & Tool Use

- Gemini 1.0 Pro: —
- GPT-6 Astra: 52.9 (#3)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| APEX-Agents | — | 64.7% |
| Remote Labor Index | — | 20.8% |
| BALROG | — | 68.3% |
| GDP.pdf | — | 34.2% |
| Vending-Bench 2 | — | 15,515 |

## Reasoning

- Gemini 1.0 Pro: 17.1 (#296)
- GPT-6 Astra: 85.1 (#1)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1462 |
| DTBench | 45.9% | 97.3% |
| Epoch Capabilities Index | 117.04 | 166.45 |
| ARC-AGI-2 | — | 95% |
| 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 |

## Math

- Gemini 1.0 Pro: 9.3 (#321)
- GPT-6 Astra: 93.5 (#2)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 100% |
| LMArena Math | 1132 | 1465 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 97.6% |
| ProofBench | — | 99% |
| MATH Level 5 | 11.2% | — |
| FrontierMath Erdős | — | 2.9% |

## Knowledge

- Gemini 1.0 Pro: 15.6 (#291)
- GPT-6 Astra: 75.3 (#1)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 34% | 95.8% |
| LMArena Expert | 1059 | 1483 |
| Humanity's Last Exam | — | 54.8% |
| SimpleQA Verified | — | 75.6% |
| Vectara Hallucination Rate | — | 8.7% |
| MMLU | 70% | — |

## Multimodal

- Gemini 1.0 Pro: —
- GPT-6 Astra: 55.0 (#3)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Vision | — | 1281 |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |

## Multilingual

- Gemini 1.0 Pro: 33.4 (#252)
- GPT-6 Astra: 53.7 (#61)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1138 | 1430 |
| LMArena Chinese | 1124 | 1484 |
| LMArena French | 1145 | 1456 |
| LMArena German | 1125 | 1440 |
| LMArena Japanese | 1023 | 1379 |
| LMArena Russian | 1186 | 1436 |
| LMArena Spanish | 1119 | 1407 |
| LMArena Korean | — | 1426 |

## Instruction Following

- Gemini 1.0 Pro: 57.6 (#267)
- GPT-6 Astra: 76.3 (#44)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1114 | 1450 |

## Long Context

- Gemini 1.0 Pro: 34.3 (#249)
- GPT-6 Astra: 44.5 (#62)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1132 | 1456 |

## Writing & Preference

- Gemini 1.0 Pro: 36.0 (#264)
- GPT-6 Astra: 75.3 (#7)

| Benchmark | Gemini 1.0 Pro | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1149 | 1441 |
| LMArena Creative Writing | 1131 | 1418 |
| LMArena Multi-Turn | 1139 | 1448 |
| EQ-Bench Creative Writing | — | 2173 |

## FAQ

### Is Gemini 1.0 Pro better than GPT-6 Astra?

GPT-6 Astra is the stronger model overall, scoring 70.8 to 27.3 on the Noometry Index.

### Is Gemini 1.0 Pro or GPT-6 Astra better for coding?

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 32.2 in the Noometry coding category.

### How many benchmarks do Gemini 1.0 Pro and GPT-6 Astra share?

20 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and GPT-6 Astra has 56.