Model comparison
GPT-5.4 mini vs GPT-6 Luna
GPT-6 Luna is the stronger model overall, scoring 53.3 to 45.0 on the Noometry Index.
Last verified . 37 shared benchmarks.
Summary
- They share 37 benchmarks with published results for both. GPT-5.4 mini scores higher in 2 categories and GPT-6 Luna in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 45.5.
- The biggest single-benchmark swing is FrontierMath Tier 4: 9.8% for GPT-5.4 mini and 56.1% for GPT-6 Luna.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.75 / $4.50 for GPT-5.4 mini.
- GPT-6 Luna accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.4 mini | GPT-6 Luna | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 45.0 | 53.3 |
| Released | 2026-03-17 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.75 | $0.10 |
| Output $ / M tokens | $4.50 | $0.50 |
| Results tracked | 46 | 42 |
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Category by category
Coding GPT-6 Luna leads
GPT-5.4 mini: 45.2 (#72), GPT-6 Luna: 55.5 (#25)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| FrontierCode | 27% | 42.4% |
| LMArena WebDev | 1397 | 1581 |
| SciCode | 49.9% | 54.6% |
| LMArena Coding | 1438 | 1439 |
| ALE-Bench | 1,189 | 1,577 |
| DeepSWE | — | 66.6% |
| WeirdML | 60.3% | — |
Agentic & Tool Use GPT-6 Luna leads
GPT-5.4 mini: 29.9 (#81), GPT-6 Luna: 33.3 (#54)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| APEX-Agents | — | 44.3% |
| DeepResearch Bench | 36.3% | — |
| GDP.pdf | — | 23% |
Reasoning GPT-6 Luna leads
GPT-5.4 mini: 30.4 (#85), GPT-6 Luna: 48.2 (#41)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| ARC-AGI-2 | 18.9% | 59.3% |
| NYT Connections (extended) | 61.8% | 68.7% |
| ARC-AGI-1 | 63.7% | 86.7% |
| CritPt | 10% | 19.4% |
| Chess Puzzles | 24% | 31% |
| LMArena Hard Prompts | 1424 | 1411 |
| Mystery Game Puzzles | 11% | 7% |
| DTBench | 80% | 90.1% |
| LMCA | 40.8% | 44.5% |
| Epoch Capabilities Index | 148.84 | 156.28 |
| Kagi LLM Benchmark | 37.9% | — |
| Thematic Generalization | 61.7% | — |
| ForecastBench | 57 | — |
Math GPT-6 Luna leads
GPT-5.4 mini: 45.5 (#75), GPT-6 Luna: 76.1 (#15)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| FrontierMath (Tiers 1-3) | 51.2% | 78.9% |
| FrontierMath Tier 4 | 9.8% | 56.1% |
| OTIS Mock AIME 2024-2025 | 88.9% | 98.9% |
| ProofBench | 21% | 64% |
| LMArena Math | 1419 | 1416 |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-6 Luna leads
GPT-5.4 mini: 51.5 (#67), GPT-6 Luna: 57.0 (#41)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| GPQA Diamond | 86.9% | 90.5% |
| SimpleQA Verified | 29.4% | 41.4% |
| LMArena Expert | 1435 | 1444 |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal GPT-6 Luna leads
GPT-5.4 mini: 39.7 (#56), GPT-6 Luna: 42.4 (#30)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| LMArena Vision | 1245 | 1217 |
| Blueprint-Bench 2 | — | 31.2% |
| Furniture Assembly | — | 44.2% |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 51.9 (#96), GPT-6 Luna: 50.5 (#117)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1405 | 1386 |
| LMArena Chinese | 1446 | 1433 |
| LMArena French | 1440 | 1420 |
| LMArena German | 1409 | 1369 |
| LMArena Japanese | 1374 | 1369 |
| LMArena Korean | 1368 | 1360 |
| LMArena Russian | 1417 | 1394 |
| LMArena Spanish | 1405 | 1393 |
Instruction Following Too close to call
GPT-5.4 mini: 74.1 (#102), GPT-6 Luna: 74.3 (#99)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1405 | 1409 |
Long Context Too close to call
GPT-5.4 mini: 43.0 (#112), GPT-6 Luna: 43.0 (#111)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1407 | 1409 |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), GPT-6 Luna: 58.3 (#119)
| Benchmark | GPT-5.4 mini | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1412 | 1391 |
| LMArena Creative Writing | 1370 | 1363 |
| LMArena Multi-Turn | 1429 | 1396 |
| EQ-Bench Creative Writing | 1665 | — |
Frequently asked questions
Is GPT-5.4 mini better than GPT-6 Luna?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 45.0 on the Noometry Index.
Which is cheaper, GPT-5.4 mini 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-5.4 mini lists at $0.75 and $4.50.
Is GPT-5.4 mini or GPT-6 Luna better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 45.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.4 mini and GPT-6 Luna share?
37 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and GPT-6 Luna has 42.