Model comparison
Gemini 3.1 Pro Preview vs GPT-5.6 Luna
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 54.6 on the Noometry Index. GPT-5.6 Luna costs 10× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 48 shared benchmarks.
Summary
- They share 48 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 6 categories and GPT-5.6 Luna in 4 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 47.6.
- The biggest single-benchmark swing is DeepSWE: 11.7% for Gemini 3.1 Pro Preview and 67.2% for GPT-5.6 Luna.
- GPT-5.6 Luna is cheaper at $0.20 / $1.20 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- GPT-5.6 Luna accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 3.1 Pro Preview | GPT-5.6 Luna | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.7 | 54.6 |
| Released | 2026-02-19 | 2026-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $2 | $0.20 |
| Output $ / M tokens | $12 | $1.20 |
| Results tracked | 71 | 52 |
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Category by category
Coding GPT-5.6 Luna leads
Gemini 3.1 Pro Preview: 42.5 (#99), GPT-5.6 Luna: 54.5 (#28)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| DeepSWE | 11.7% | 67.2% |
| LMArena WebDev | 1447 | 1519 |
| SciCode | 58.9% | 53.6% |
| WeirdML | 72.1% | 60.9% |
| LMArena Coding | 1484 | 1466 |
| ALE-Bench | 1,161 | 1,667 |
| SWE-bench Verified | 75.6% | — |
| FrontierCode | — | 39.8% |
| CursorBench | — | 35.9% |
| GSO | 22.6% | — |
| MirrorCode | 8.9% | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 37.7 (#34), GPT-5.6 Luna: 34.4 (#45)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| APEX-Agents | 35.3% | 43% |
| BALROG | 57% | 45.6% |
| GDP.pdf | 17% | 22.7% |
| Vending-Bench 2 | 3,774 | 4,095 |
| Terminal-Bench | 80.2% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), GPT-5.6 Luna: 47.6 (#43)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| ARC-AGI-2 | 77.1% | 59.5% |
| SimpleBench | 79.6% | 46.8% |
| NYT Connections (extended) | 97.4% | 69.4% |
| ARC-AGI-1 | 98% | 88% |
| CritPt | 17.7% | 20.6% |
| Chess Puzzles | 55% | 40% |
| LMArena Hard Prompts | 1485 | 1451 |
| Mystery Game Puzzles | 34% | 21% |
| DTBench | 97.1% | 89.1% |
| LMCA | 53.8% | 48.5% |
| Epoch Capabilities Index | 154.77 | 156.39 |
| Kagi LLM Benchmark | — | 49.1% |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Surface Evolver Bench | — | 61.9% |
| ForecastBench | 59 | — |
Math GPT-5.6 Luna leads
Gemini 3.1 Pro Preview: 62.1 (#34), GPT-5.6 Luna: 77.7 (#14)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| FrontierMath (Tiers 1-3) | 59.6% | 82.1% |
| FrontierMath Tier 4 | 26.8% | 61% |
| OTIS Mock AIME 2024-2025 | 95.6% | 98.3% |
| ProofBench | 26% | 60% |
| LMArena Math | 1485 | 1458 |
| MathArena Final-Answer Competitions | 86.5% | — |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), GPT-5.6 Luna: 58.5 (#34)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| GPQA Diamond | 94.4% | 91.6% |
| SimpleQA Verified | 73.5% | 41% |
| LMArena Expert | 1485 | 1478 |
| Humanity's Last Exam | 46.4% | — |
| Vectara Hallucination Rate | 10.4% | — |
Multimodal GPT-5.6 Luna leads
Gemini 3.1 Pro Preview: 37.9 (#69), GPT-5.6 Luna: 42.7 (#28)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| LMArena Vision | 1296 | 1258 |
| Blueprint-Bench 2 | 26.5% | 22.6% |
| Furniture Assembly | 26.7% | 42.5% |
| LMArena Document | 1444 | 1457 |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), GPT-5.6 Luna: 52.8 (#78)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| LMArena Non-English | 1477 | 1417 |
| LMArena Chinese | 1529 | 1470 |
| LMArena French | 1487 | 1456 |
| LMArena German | 1491 | 1454 |
| LMArena Japanese | 1493 | 1411 |
| LMArena Korean | 1455 | 1415 |
| LMArena Russian | 1498 | 1428 |
| LMArena Spanish | 1479 | 1448 |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), GPT-5.6 Luna: 75.6 (#57)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| LMArena Instruction Following | 1466 | 1437 |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), GPT-5.6 Luna: 43.9 (#82)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| LMArena Longer Query | 1483 | 1436 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference GPT-5.6 Luna leads
Gemini 3.1 Pro Preview: 66.1 (#37), GPT-5.6 Luna: 68.0 (#29)
| Benchmark | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| LMArena Text | 1481 | 1431 |
| LMArena Creative Writing | 1482 | 1396 |
| EQ-Bench Creative Writing | 1491 | 1829 |
| EQ-Bench 4 | 1142 | 1156 |
| LMArena Multi-Turn | 1488 | 1434 |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than GPT-5.6 Luna?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 54.6 on the Noometry Index. GPT-5.6 Luna costs 10× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview 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 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or GPT-5.6 Luna better for coding?
GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 42.5 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 3.1 Pro Preview and GPT-5.6 Luna share?
48 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and GPT-5.6 Luna has 52.