Model comparison
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.
Last verified . 14 shared benchmarks.
GoogleSummary
- 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.
Side by side
| Gemini 2.5 Pro | GPT-6 Luna | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 44.9 | 45.1 |
| Released | 2025-03-25 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.25 | $0.10 |
| Output $ / M tokens | $10 | $0.50 |
| Results tracked | 78 | 18 |
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Category by category
Coding GPT-6 Luna leads
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 Not comparable
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 GPT-6 Luna leads
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 GPT-6 Luna leads
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 leads
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 leads
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 leads
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 Too close to call
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 leads
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 leads
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% | — |
Frequently asked questions
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.