Model comparison
GPT-6 Luna vs o3-mini
GPT-6 Luna is the stronger model overall, scoring 45.1 to 36.7 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GPT-6 Luna scores higher in 7 categories and o3-mini in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Luna leads 31.7 to 16.3.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.10 / $4.40 for o3-mini.
- GPT-6 Luna accepts more context: 1.05M tokens versus 200K.
Side by side
| GPT-6 Luna | o3-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 45.1 | 36.7 |
| Released | 2026-09-22 | 2024-12-20 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.10 | $1.10 |
| Output $ / M tokens | $0.50 | $4.40 |
| Results tracked | 18 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 54.7 (#24), o3-mini: 41.4 (#116)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Coding | 1448 | 1378 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| Aider Polyglot | — | 60.4% |
| LMArena WebDev | 1583 | — |
| SciCode | — | 39.8% |
| GSO | — | 1.3% |
| WeirdML | — | 43.7% |
| LiveBench Coding | — | 82.7% |
| CadEval | — | 54% |
Agentic & Tool Use Not comparable
GPT-6 Luna: —, o3-mini: 29.3 (#79)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| Cybench | — | 22.5% |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), o3-mini: 16.3 (#295)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1366 |
| ARC-AGI-2 | — | 3% |
| SimpleBench | — | 22.8% |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | — | 34.5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 17% |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 68.8% |
| LiveBench Data Analysis | — | 70.6% |
| LMCA | — | 19% |
| Epoch Capabilities Index | — | 140.35 |
| ForecastBench | — | 59.6 |
| LiveBench | — | 75.9% |
Math GPT-6 Luna leads
GPT-6 Luna: 35.6 (#140), o3-mini: 27.6 (#236)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Math | 1396 | 1396 |
| FrontierMath (Tiers 1-3) | — | 18.6% |
| FrontierMath Tier 4 | — | 0% |
| OTIS Mock AIME 2024-2025 | — | 76.9% |
| LiveBench Math | — | 77.3% |
| MATH Level 5 | — | 96.5% |
| FrontierMath (Feb 2025 set) | — | 12.4% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 40.1 (#110), o3-mini: 38.3 (#135)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Expert | 1458 | 1364 |
| GPQA Diamond | — | 77% |
| SimpleQA Verified | — | 15.3% |
| Confabulations | — | 17.9% |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), o3-mini: —
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| Furniture Assembly | 44.2% | — |
Multilingual GPT-6 Luna leads
GPT-6 Luna: 51.0 (#111), o3-mini: 45.9 (#159)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Non-English | 1390 | 1319 |
| LMArena Chinese | 1425 | 1379 |
| LMArena Russian | 1392 | 1304 |
| LMArena Spanish | 1416 | 1321 |
| LMArena French | — | 1333 |
| LMArena German | — | 1303 |
| LMArena Japanese | — | 1286 |
| LMArena Korean | — | 1314 |
Instruction Following Too close to call
GPT-6 Luna: 74.7 (#85), o3-mini: 75.3 (#67)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1414 | 1338 |
| LiveBench Instruction Following | — | 84.4% |
Long Context GPT-6 Luna leads
GPT-6 Luna: 43.3 (#95), o3-mini: 33.8 (#251)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Longer Query | 1417 | 1343 |
| Fiction.LiveBench | — | 50% |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.4 (#115), o3-mini: 50.4 (#177)
| Benchmark | GPT-6 Luna | o3-mini |
|---|---|---|
| LMArena Text | 1392 | 1337 |
| LMArena Creative Writing | 1357 | 1286 |
| LMArena Multi-Turn | 1400 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is GPT-6 Luna better than o3-mini?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 36.7 on the Noometry Index.
Which is cheaper, GPT-6 Luna or o3-mini?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; o3-mini lists at $1.10 and $4.40.
Is GPT-6 Luna or o3-mini better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 200K.
How many benchmarks do GPT-6 Luna and o3-mini share?
13 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and o3-mini has 51.