Model comparison
Gemini 2.5 Pro vs GPT-5.6 Luna
GPT-5.6 Luna is the stronger model overall, scoring 54.7 to 44.9 on the Noometry Index.
Last verified . 39 shared benchmarks.
GoogleSummary
- They share 39 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 3 categories and GPT-5.6 Luna in 7 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Luna leads 77.5 to 31.9.
- The biggest single-benchmark swing is FrontierMath Tier 4: 0% for Gemini 2.5 Pro and 61% for GPT-5.6 Luna.
- GPT-5.6 Luna is cheaper at $0.20 / $1.20 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- GPT-5.6 Luna accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 2.5 Pro | GPT-5.6 Luna | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 44.9 | 54.7 |
| Released | 2025-03-25 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $1.25 | $0.20 |
| Output $ / M tokens | $10 | $1.20 |
| Results tracked | 78 | 51 |
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Category by category
Coding GPT-5.6 Luna leads
Gemini 2.5 Pro: 42.8 (#86), GPT-5.6 Luna: 53.9 (#25)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| LMArena WebDev | 1227 | 1517 |
| SciCode | 42.8% | 53.6% |
| WeirdML | 54% | 60.9% |
| LMArena Coding | 1452 | 1466 |
| ALE-Bench | 785.52 | 1,667 |
| SWE-bench Verified | 57.6% | — |
| DeepSWE | — | 67.2% |
| FrontierCode | — | 39.8% |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| CursorBench | — | 35.9% |
| GSO | 3.9% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use GPT-5.6 Luna leads
Gemini 2.5 Pro: 29.1 (#81), GPT-5.6 Luna: 35.3 (#37)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| BALROG | 43.3% | 45.6% |
| Vending-Bench 2 | 573.64 | 4,095 |
| Terminal-Bench | 32.6% | — |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| GDP.pdf | — | 22.7% |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
Reasoning GPT-5.6 Luna leads
Gemini 2.5 Pro: 28.8 (#85), GPT-5.6 Luna: 47.5 (#38)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| ARC-AGI-2 | 4.9% | 59.5% |
| SimpleBench | 62.4% | 46.8% |
| Kagi LLM Benchmark | 70.3% | 49.1% |
| ARC-AGI-1 | 41% | 88% |
| CritPt | 2% | 20.6% |
| Chess Puzzles | 20% | 40% |
| LMArena Hard Prompts | 1455 | 1452 |
| DTBench | 82.4% | 89.1% |
| LMCA | 34.8% | 48.5% |
| Epoch Capabilities Index | 145.32 | 156.32 |
| NYT Connections (extended) | — | 69.4% |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| Mystery Game Puzzles | — | 21% |
| LiveBench Data Analysis | 79.9% | — |
| Surface Evolver Bench | — | 61.9% |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math GPT-5.6 Luna leads
Gemini 2.5 Pro: 31.9 (#191), GPT-5.6 Luna: 77.5 (#12)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 82.1% |
| FrontierMath Tier 4 | 0% | 61% |
| OTIS Mock AIME 2024-2025 | 84.7% | 98.3% |
| LMArena Math | 1450 | 1455 |
| ProofBench | — | 60% |
| 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 GPT-5.6 Luna leads
Gemini 2.5 Pro: 55.8 (#41), GPT-5.6 Luna: 58.6 (#31)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| GPQA Diamond | 85.3% | 91.6% |
| LMArena Expert | 1452 | 1479 |
| Humanity's Last Exam | 21.6% | — |
| SimpleQA Verified | — | 41% |
| 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-5.6 Luna: 43.0 (#22)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| LMArena Vision | 1263 | 1259 |
| LMArena Document | 1421 | 1457 |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| Blueprint-Bench 2 | — | 22.6% |
| Furniture Assembly | — | 42.5% |
| SpatialViz-Bench | 44.7% | — |
Multilingual Gemini 2.5 Pro leads
Gemini 2.5 Pro: 55.5 (#30), GPT-5.6 Luna: 53.0 (#73)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| LMArena Non-English | 1452 | 1418 |
| LMArena Chinese | 1507 | 1469 |
| LMArena French | 1473 | 1457 |
| LMArena German | 1487 | 1459 |
| LMArena Japanese | 1462 | 1416 |
| LMArena Korean | 1435 | 1414 |
| LMArena Russian | 1460 | 1428 |
| LMArena Spanish | 1473 | 1445 |
Instruction Following Too close to call
Gemini 2.5 Pro: 75.2 (#71), GPT-5.6 Luna: 76.0 (#48)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| LMArena Instruction Following | 1436 | 1440 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
Long Context Gemini 2.5 Pro leads
Gemini 2.5 Pro: 59.7 (#5), GPT-5.6 Luna: 43.9 (#78)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| LMArena Longer Query | 1449 | 1437 |
| Fiction.LiveBench | 91.7% | — |
Writing & Preference GPT-5.6 Luna leads
Gemini 2.5 Pro: 63.9 (#60), GPT-5.6 Luna: 68.3 (#27)
| Benchmark | Gemini 2.5 Pro | GPT-5.6 Luna |
|---|---|---|
| LMArena Text | 1458 | 1432 |
| LMArena Creative Writing | 1453 | 1397 |
| EQ-Bench Creative Writing | 1421 | 1829 |
| LMArena Multi-Turn | 1453 | 1433 |
| Short-Story Creative Writing | 83.8% | — |
| WildBench | 85.7% | — |
| EQ-Bench 4 | — | 1156 |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than GPT-5.6 Luna?
GPT-5.6 Luna is the stronger model overall, scoring 54.7 to 44.9 on the Noometry Index.
Which is cheaper, Gemini 2.5 Pro or GPT-5.6 Luna?
GPT-5.6 Luna is cheaper. It lists at $0.20 per million input tokens and $1.20 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or GPT-5.6 Luna better for coding?
GPT-5.6 Luna scores higher on coding benchmarks: 53.9 versus 42.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5.6 Luna does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 2.5 Pro and GPT-5.6 Luna share?
39 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and GPT-5.6 Luna has 51.