Model comparison
GPT-5.6 Luna vs Yi-Lightning
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 37.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GPT-5.6 Luna scores higher in 8 categories and Yi-Lightning in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 36.2.
Side by side
| GPT-5.6 Luna | Yi-Lightning | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 54.6 | 37.1 |
| Released | 2026-07-09 | 2024-12-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 52 | 18 |
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Category by category
Coding GPT-5.6 Luna leads
GPT-5.6 Luna: 54.5 (#28), Yi-Lightning: 27.4 (#320)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Coding | 1466 | 1312 |
| DeepSWE | 67.2% | — |
| FrontierCode | 39.8% | — |
| Aider Polyglot | — | 12.9% |
| CursorBench | 35.9% | — |
| LMArena WebDev | 1519 | — |
| SciCode | 53.6% | — |
| WeirdML | 60.9% | — |
| ALE-Bench | 1,667 | — |
Agentic & Tool Use Not comparable
GPT-5.6 Luna: 34.4 (#45), Yi-Lightning: —
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| APEX-Agents | 43% | — |
| BALROG | 45.6% | — |
| GDP.pdf | 22.7% | — |
| Vending-Bench 2 | 4,095 | — |
Reasoning GPT-5.6 Luna leads
GPT-5.6 Luna: 47.6 (#43), Yi-Lightning: 25.9 (#139)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Hard Prompts | 1451 | 1302 |
| ARC-AGI-2 | 59.5% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 49.1% | — |
| 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 | 156.39 | — |
Math GPT-5.6 Luna leads
GPT-5.6 Luna: 77.7 (#14), Yi-Lightning: 36.2 (#172)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Math | 1458 | 1300 |
| 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: 58.5 (#34), Yi-Lightning: 35.4 (#185)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Expert | 1478 | 1286 |
| GPQA Diamond | 91.6% | — |
| SimpleQA Verified | 41% | — |
Multimodal Not comparable
GPT-5.6 Luna: 42.7 (#28), Yi-Lightning: —
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Vision | 1258 | — |
| Blueprint-Bench 2 | 22.6% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1457 | — |
Multilingual GPT-5.6 Luna leads
GPT-5.6 Luna: 52.8 (#78), Yi-Lightning: 42.2 (#196)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Non-English | 1417 | 1269 |
| LMArena Chinese | 1470 | 1320 |
| LMArena French | 1456 | 1305 |
| LMArena German | 1454 | 1267 |
| LMArena Japanese | 1411 | 1228 |
| LMArena Korean | 1415 | 1192 |
| LMArena Russian | 1428 | 1255 |
| LMArena Spanish | 1448 | 1315 |
Instruction Following GPT-5.6 Luna leads
GPT-5.6 Luna: 75.6 (#57), Yi-Lightning: 67.4 (#196)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Instruction Following | 1437 | 1278 |
Long Context GPT-5.6 Luna leads
GPT-5.6 Luna: 43.9 (#82), Yi-Lightning: 39.4 (#181)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Longer Query | 1436 | 1297 |
Writing & Preference GPT-5.6 Luna leads
GPT-5.6 Luna: 68.0 (#29), Yi-Lightning: 50.2 (#184)
| Benchmark | GPT-5.6 Luna | Yi-Lightning |
|---|---|---|
| LMArena Text | 1431 | 1302 |
| LMArena Creative Writing | 1396 | 1280 |
| LMArena Multi-Turn | 1434 | 1311 |
| EQ-Bench Creative Writing | 1829 | — |
| EQ-Bench 4 | 1156 | — |
Frequently asked questions
Is GPT-5.6 Luna better than Yi-Lightning?
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 37.1 on the Noometry Index.
Is GPT-5.6 Luna or Yi-Lightning better for coding?
GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 27.4 in the Noometry coding category.
How many benchmarks do GPT-5.6 Luna and Yi-Lightning share?
17 benchmarks have published results for both models. GPT-5.6 Luna has 52 scored results on Noometry and Yi-Lightning has 18.