Model comparison
GPT-5.6 Terra vs GPT-6 Luna
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 53.3 on the Noometry Index. GPT-6 Luna costs 23× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.
Last verified . 42 shared benchmarks.
Summary
- They share 42 benchmarks with published results for both. GPT-5.6 Terra scores higher in 10 categories and GPT-6 Luna in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.6 Terra leads 60.7 to 48.2.
- The biggest single-benchmark swing is Mystery Game Puzzles: 35% for GPT-5.6 Terra and 7% for GPT-6 Luna.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
Side by side
| GPT-5.6 Terra | GPT-6 Luna | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 59.2 | 53.3 |
| Released | 2026-07-09 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $2 | $0.10 |
| Output $ / M tokens | $12 | $0.50 |
| Results tracked | 52 | 42 |
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Category by category
Coding GPT-5.6 Terra leads
GPT-5.6 Terra: 57.7 (#19), GPT-6 Luna: 55.5 (#25)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| DeepSWE | 69.6% | 66.6% |
| FrontierCode | 41.3% | 42.4% |
| LMArena WebDev | 1522 | 1581 |
| SciCode | 55% | 54.6% |
| LMArena Coding | 1484 | 1439 |
| ALE-Bench | 1,951 | 1,577 |
| CursorBench | 41.3% | — |
| WeirdML | 78.3% | — |
Agentic & Tool Use GPT-5.6 Terra leads
GPT-5.6 Terra: 40.1 (#25), GPT-6 Luna: 33.3 (#54)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| APEX-Agents | 58.2% | 44.3% |
| GDP.pdf | 24.7% | 23% |
| BALROG | 53.2% | — |
| Vending-Bench 2 | 7,343 | — |
Reasoning GPT-5.6 Terra leads
GPT-5.6 Terra: 60.7 (#21), GPT-6 Luna: 48.2 (#41)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| ARC-AGI-2 | 83.9% | 59.3% |
| NYT Connections (extended) | 78.4% | 68.7% |
| ARC-AGI-1 | 96.5% | 86.7% |
| CritPt | 30% | 19.4% |
| Chess Puzzles | 54% | 31% |
| LMArena Hard Prompts | 1468 | 1411 |
| Mystery Game Puzzles | 35% | 7% |
| DTBench | 93.3% | 90.1% |
| LMCA | 55% | 44.5% |
| Epoch Capabilities Index | 159.62 | 156.28 |
| SimpleBench | 48.9% | — |
| Kagi LLM Benchmark | 51.3% | — |
| Surface Evolver Bench | 83.8% | — |
Math GPT-5.6 Terra leads
GPT-5.6 Terra: 81.6 (#12), GPT-6 Luna: 76.1 (#15)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| FrontierMath (Tiers 1-3) | 86% | 78.9% |
| FrontierMath Tier 4 | 70.7% | 56.1% |
| OTIS Mock AIME 2024-2025 | 99.7% | 98.9% |
| ProofBench | 74% | 64% |
| LMArena Math | 1466 | 1416 |
Knowledge GPT-5.6 Terra leads
GPT-5.6 Terra: 61.2 (#30), GPT-6 Luna: 57.0 (#41)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| GPQA Diamond | 93.3% | 90.5% |
| SimpleQA Verified | 43.2% | 41.4% |
| LMArena Expert | 1492 | 1444 |
Multimodal GPT-5.6 Terra leads
GPT-5.6 Terra: 47.3 (#11), GPT-6 Luna: 42.4 (#30)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| LMArena Vision | 1271 | 1217 |
| Blueprint-Bench 2 | 30.8% | 31.2% |
| Furniture Assembly | 54.2% | 44.2% |
| LMArena Document | 1472 | — |
Multilingual GPT-5.6 Terra leads
GPT-5.6 Terra: 54.4 (#44), GPT-6 Luna: 50.5 (#117)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1439 | 1386 |
| LMArena Chinese | 1513 | 1433 |
| LMArena French | 1471 | 1420 |
| LMArena German | 1460 | 1369 |
| LMArena Japanese | 1457 | 1369 |
| LMArena Korean | 1425 | 1360 |
| LMArena Russian | 1450 | 1394 |
| LMArena Spanish | 1448 | 1393 |
Instruction Following GPT-5.6 Terra leads
GPT-5.6 Terra: 76.4 (#40), GPT-6 Luna: 74.3 (#99)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1454 | 1409 |
Long Context GPT-5.6 Terra leads
GPT-5.6 Terra: 44.4 (#68), GPT-6 Luna: 43.0 (#111)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1451 | 1409 |
Writing & Preference GPT-5.6 Terra leads
GPT-5.6 Terra: 70.2 (#23), GPT-6 Luna: 58.3 (#119)
| Benchmark | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1447 | 1391 |
| LMArena Creative Writing | 1410 | 1363 |
| LMArena Multi-Turn | 1449 | 1396 |
| EQ-Bench Creative Writing | 1855 | — |
| EQ-Bench 4 | 1234 | — |
Frequently asked questions
Is GPT-5.6 Terra better than GPT-6 Luna?
GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 53.3 on the Noometry Index. GPT-6 Luna costs 23× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.
Which is cheaper, GPT-5.6 Terra 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-5.6 Terra lists at $2 and $12.
Is GPT-5.6 Terra or GPT-6 Luna better for coding?
GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 55.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do GPT-5.6 Terra and GPT-6 Luna share?
42 benchmarks have published results for both models. GPT-5.6 Terra has 52 scored results on Noometry and GPT-6 Luna has 42.