Model comparison
GPT-4.1 vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 45.1 to 35.7 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GPT-4.1 scores higher in 0 categories and GPT-6 Luna in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 34.2.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-6 Luna accepts more context: 1.05M tokens versus 1.05M.
Side by side
| GPT-4.1 | GPT-6 Luna | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 35.7 | 45.1 |
| Released | 2025-04-14 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 33K | 128K |
| Input $ / M tokens | $2 | $0.10 |
| Output $ / M tokens | $8 | $0.50 |
| Results tracked | 52 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Luna leads
GPT-4.1: 34.2 (#228), GPT-6 Luna: 54.7 (#24)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Coding | 1391 | 1448 |
| SWE-bench Verified | 48.5% | — |
| DeepSWE | — | 66.6% |
| FrontierCode | — | 42.4% |
| SWE-bench Verified (bash only) | 39.6% | — |
| Aider Polyglot | 52.4% | — |
| LMArena WebDev | — | 1583 |
| WeirdML | 39% | — |
| CadEval | 42% | — |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use Not comparable
GPT-4.1: 34.4 (#40), GPT-6 Luna: —
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
Reasoning GPT-6 Luna leads
GPT-4.1: 11.7 (#334), GPT-6 Luna: 31.7 (#68)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1415 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | 27% | — |
| Kagi LLM Benchmark | 52.3% | — |
| NYT Connections (extended) | — | 68.7% |
| ARC-AGI-1 | 5.5% | — |
| Chess Puzzles | 6% | — |
| EnigmaEval | 2.2% | — |
| DTBench | 68.3% | — |
| LMCA | 25.6% | — |
| Epoch Capabilities Index | 136.79 | — |
| ForecastBench | 61.5 | — |
Math GPT-6 Luna leads
GPT-4.1: 21.4 (#269), GPT-6 Luna: 35.6 (#140)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Math | 1369 | 1396 |
| FrontierMath (Tiers 1-3) | 6% | — |
| OTIS Mock AIME 2024-2025 | 38.3% | — |
| Omni-MATH | 47.1% | — |
| MATH Level 5 | 83% | — |
| FrontierMath (Feb 2025 set) | 5.5% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-6 Luna leads
GPT-4.1: 37.0 (#152), GPT-6 Luna: 40.1 (#110)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Expert | 1364 | 1458 |
| GPQA Diamond | 66.9% | — |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | 31.1% | — |
| MMLU-Pro | 81.1% | — |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
Multimodal GPT-6 Luna leads
GPT-4.1: 37.5 (#66), GPT-6 Luna: 42.0 (#27)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Vision | 1210 | — |
| GeoBench | 72% | — |
| Furniture Assembly | — | 44.2% |
Multilingual GPT-6 Luna leads
GPT-4.1: 49.6 (#128), GPT-6 Luna: 51.0 (#111)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1370 | 1390 |
| LMArena Chinese | 1382 | 1425 |
| LMArena Russian | 1377 | 1392 |
| LMArena Spanish | 1375 | 1416 |
| LMArena French | 1383 | — |
| LMArena German | 1380 | — |
| LMArena Japanese | 1320 | — |
| LMArena Korean | 1339 | — |
Instruction Following GPT-6 Luna leads
GPT-4.1: 71.5 (#148), GPT-6 Luna: 74.7 (#85)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1367 | 1414 |
| IFEval | 83.8% | — |
Long Context GPT-6 Luna leads
GPT-4.1: 40.0 (#158), GPT-6 Luna: 43.3 (#95)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1385 | 1417 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference Too close to call
GPT-4.1: 57.8 (#120), GPT-6 Luna: 58.4 (#115)
| Benchmark | GPT-4.1 | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1383 | 1392 |
| LMArena Creative Writing | 1363 | 1357 |
| LMArena Multi-Turn | 1398 | 1400 |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is GPT-4.1 better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 35.7 on the Noometry Index.
Which is cheaper, GPT-4.1 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; GPT-4.1 lists at $2 and $8.
Is GPT-4.1 or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 34.2 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 GPT-4.1 and GPT-6 Luna share?
13 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and GPT-6 Luna has 18.