# Gemini 2.5 Pro vs GPT-6 Luna

> Gemini 2.5 Pro and GPT-6 Luna score almost the same on the Noometry Index (44.9 vs 45.1), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gemini-2-5-pro-vs-gpt-6-luna
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 6 categories and GPT-6 Luna in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.5 Pro leads 59.7 to 43.3.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- GPT-6 Luna accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 44.9 | 45.1 |
| Rank | 67 | 65 |
| Context | 1.05M | 1.05M |
| Input $/M | $1.25 | $0.10 |
| Output $/M | $10 | $0.50 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.5 Pro: 42.8 (#86)
- GPT-6 Luna: 54.7 (#24)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena WebDev | 1227 | 1583 |
| LMArena Coding | 1452 | 1448 |
| SWE-bench Verified | 57.6% | — |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |

## Agentic & Tool Use

- Gemini 2.5 Pro: 29.1 (#81)
- GPT-6 Luna: —

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |

## Reasoning

- Gemini 2.5 Pro: 28.8 (#85)
- GPT-6 Luna: 31.7 (#68)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1455 | 1415 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |

## Math

- Gemini 2.5 Pro: 31.9 (#191)
- GPT-6 Luna: 35.6 (#140)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1450 | 1396 |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Pro: 55.8 (#41)
- GPT-6 Luna: 40.1 (#110)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1452 | 1458 |
| GPQA Diamond | 85.3% | — |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |

## Multimodal

- Gemini 2.5 Pro: 44.5 (#16)
- GPT-6 Luna: 42.0 (#27)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| Furniture Assembly | — | 44.2% |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |

## Multilingual

- Gemini 2.5 Pro: 55.5 (#30)
- GPT-6 Luna: 51.0 (#111)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1452 | 1390 |
| LMArena Chinese | 1507 | 1425 |
| LMArena Russian | 1460 | 1392 |
| LMArena Spanish | 1473 | 1416 |
| LMArena French | 1473 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1462 | — |
| LMArena Korean | 1435 | — |

## Instruction Following

- Gemini 2.5 Pro: 75.2 (#71)
- GPT-6 Luna: 74.7 (#85)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1436 | 1414 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |

## Long Context

- Gemini 2.5 Pro: 59.7 (#5)
- GPT-6 Luna: 43.3 (#95)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1449 | 1417 |
| Fiction.LiveBench | 91.7% | — |

## Writing & Preference

- Gemini 2.5 Pro: 63.9 (#60)
- GPT-6 Luna: 58.4 (#115)

| Benchmark | Gemini 2.5 Pro | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1458 | 1392 |
| LMArena Creative Writing | 1453 | 1357 |
| LMArena Multi-Turn | 1453 | 1400 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |

## FAQ

### Is Gemini 2.5 Pro better than GPT-6 Luna?

Gemini 2.5 Pro and GPT-6 Luna score almost the same on the Noometry Index (44.9 vs 45.1), so choose on price, context window or the category you care about most.

### Which is cheaper, Gemini 2.5 Pro or GPT-6 Luna?

GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

### Is Gemini 2.5 Pro or GPT-6 Luna better for coding?

GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 42.8 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Luna does, with 1.05M tokens against 1.05M.

### How many benchmarks do Gemini 2.5 Pro and GPT-6 Luna share?

14 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-6 Luna has 18.