Model comparison
GPT-5.6 Luna vs Step 3
GPT-5.6 Luna is the stronger model overall, scoring 54.7 to 39.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
StepFunSummary
- They share 17 benchmarks with published results for both. GPT-5.6 Luna scores higher in 9 categories and Step 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Luna leads 77.5 to 34.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 49.1% for GPT-5.6 Luna and 62.3% for Step 3.
- Step 3 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.6 Luna | Step 3 | |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 54.7 | 39.9 |
| Released | 2026-07-09 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 51 | 17 |
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Category by category
Coding GPT-5.6 Luna leads
GPT-5.6 Luna: 53.9 (#25), Step 3: 39.5 (#144)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Coding | 1466 | 1367 |
| DeepSWE | 67.2% | — |
| FrontierCode | 39.8% | — |
| CursorBench | 35.9% | — |
| LMArena WebDev | 1517 | — |
| SciCode | 53.6% | — |
| WeirdML | 60.9% | — |
| ALE-Bench | 1,667 | — |
Agentic & Tool Use Not comparable
GPT-5.6 Luna: 35.3 (#37), Step 3: —
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| BALROG | 45.6% | — |
| GDP.pdf | 22.7% | — |
| Vending-Bench 2 | 4,095 | — |
Reasoning GPT-5.6 Luna leads
GPT-5.6 Luna: 47.5 (#38), Step 3: 27.6 (#102)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | 62.3% |
| LMArena Hard Prompts | 1452 | 1355 |
| ARC-AGI-2 | 59.5% | — |
| SimpleBench | 46.8% | — |
| NYT Connections (extended) | 69.4% | — |
| ARC-AGI-1 | 88% | — |
| CritPt | 20.6% | — |
| Chess Puzzles | 40% | — |
| Mystery Game Puzzles | 21% | — |
| DTBench | 89.1% | — |
| LMCA | 48.5% | — |
| Surface Evolver Bench | 61.9% | — |
| Epoch Capabilities Index | 156.32 | — |
Math GPT-5.6 Luna leads
GPT-5.6 Luna: 77.5 (#12), Step 3: 34.9 (#148)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Math | 1455 | 1366 |
| FrontierMath (Tiers 1-3) | 82.1% | — |
| FrontierMath Tier 4 | 61% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 60% | — |
Knowledge GPT-5.6 Luna leads
GPT-5.6 Luna: 58.6 (#31), Step 3: 36.2 (#161)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Expert | 1479 | 1333 |
| GPQA Diamond | 91.6% | — |
| SimpleQA Verified | 41% | — |
Multimodal GPT-5.6 Luna leads
GPT-5.6 Luna: 43.0 (#22), Step 3: 34.9 (#81)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Vision | 1259 | 1176 |
| Blueprint-Bench 2 | 22.6% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1457 | — |
Multilingual GPT-5.6 Luna leads
GPT-5.6 Luna: 53.0 (#73), Step 3: 46.5 (#154)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Non-English | 1418 | 1327 |
| LMArena Chinese | 1469 | 1396 |
| LMArena German | 1459 | 1371 |
| LMArena Korean | 1414 | 1271 |
| LMArena Russian | 1428 | 1331 |
| LMArena Spanish | 1445 | 1372 |
| LMArena French | 1457 | — |
| LMArena Japanese | 1416 | — |
Instruction Following GPT-5.6 Luna leads
GPT-5.6 Luna: 76.0 (#48), Step 3: 70.6 (#159)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1440 | 1332 |
Long Context GPT-5.6 Luna leads
GPT-5.6 Luna: 43.9 (#78), Step 3: 40.3 (#152)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Longer Query | 1437 | 1326 |
Writing & Preference GPT-5.6 Luna leads
GPT-5.6 Luna: 68.3 (#27), Step 3: 54.5 (#146)
| Benchmark | GPT-5.6 Luna | Step 3 |
|---|---|---|
| LMArena Text | 1432 | 1351 |
| LMArena Creative Writing | 1397 | 1322 |
| LMArena Multi-Turn | 1433 | 1340 |
| EQ-Bench Creative Writing | 1829 | — |
| EQ-Bench 4 | 1156 | — |
Frequently asked questions
Is GPT-5.6 Luna better than Step 3?
GPT-5.6 Luna is the stronger model overall, scoring 54.7 to 39.9 on the Noometry Index.
Is GPT-5.6 Luna or Step 3 better for coding?
GPT-5.6 Luna scores higher on coding benchmarks: 53.9 versus 39.5 in the Noometry coding category.
How many benchmarks do GPT-5.6 Luna and Step 3 share?
17 benchmarks have published results for both models. GPT-5.6 Luna has 51 scored results on Noometry and Step 3 has 17.