Model comparison
GPT-5.6 Luna vs Kimi K2.7 Code
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 43.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-5.6 Luna scores higher in 5 categories and Kimi K2.7 Code in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.6 Luna leads 77.7 to 52.9.
- The biggest single-benchmark swing is FrontierMath Tier 4: 61% for GPT-5.6 Luna and 12.2% for Kimi K2.7 Code.
- GPT-5.6 Luna is cheaper at $0.20 / $1.20 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- GPT-5.6 Luna accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| GPT-5.6 Luna | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 54.6 | 43.3 |
| Released | 2026-07-09 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.20 | $0.95 |
| Output $ / M tokens | $1.20 | $4 |
| Results tracked | 52 | 19 |
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Category by category
Coding GPT-5.6 Luna leads
GPT-5.6 Luna: 54.5 (#28), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | 67.2% | 30.5% |
| FrontierCode | 39.8% | 30.1% |
| LMArena WebDev | 1519 | 1473 |
| SciCode | 53.6% | 47.5% |
| WeirdML | 60.9% | 54.1% |
| ALE-Bench | 1,667 | 886.23 |
| CursorBench | 35.9% | — |
| LMArena Coding | 1466 | — |
Agentic & Tool Use GPT-5.6 Luna leads
GPT-5.6 Luna: 34.4 (#45), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | 43% | 37.6% |
| Vending-Bench 2 | 4,095 | 5,083 |
| BALROG | 45.6% | — |
| GBAEval | — | 0.9% |
| GDP.pdf | 22.7% | — |
Reasoning GPT-5.6 Luna leads
GPT-5.6 Luna: 47.6 (#43), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 46.8% | 57.9% |
| CritPt | 20.6% | 10% |
| Chess Puzzles | 40% | 21% |
| Surface Evolver Bench | 61.9% | 48.8% |
| Epoch Capabilities Index | 156.39 | 149.97 |
| ARC-AGI-2 | 59.5% | — |
| Kagi LLM Benchmark | 49.1% | — |
| NYT Connections (extended) | 69.4% | — |
| ARC-AGI-1 | 88% | — |
| LMArena Hard Prompts | 1451 | — |
| Mystery Game Puzzles | 21% | — |
| DTBench | 89.1% | — |
| LMCA | 48.5% | — |
Math GPT-5.6 Luna leads
GPT-5.6 Luna: 77.7 (#14), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 82.1% | 54% |
| FrontierMath Tier 4 | 61% | 12.2% |
| OTIS Mock AIME 2024-2025 | 98.3% | 95.6% |
| ProofBench | 60% | — |
| LMArena Math | 1458 | — |
Knowledge GPT-5.6 Luna leads
GPT-5.6 Luna: 58.5 (#34), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 91.6% | 87.9% |
| SimpleQA Verified | 41% | 36.5% |
| LMArena Expert | 1478 | — |
Multimodal Not comparable
GPT-5.6 Luna: 42.7 (#28), Kimi K2.7 Code: —
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1258 | — |
| Blueprint-Bench 2 | 22.6% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1457 | — |
Multilingual Not comparable
GPT-5.6 Luna: 52.8 (#78), Kimi K2.7 Code: —
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1417 | — |
| LMArena Chinese | 1470 | — |
| LMArena French | 1456 | — |
| LMArena German | 1454 | — |
| LMArena Japanese | 1411 | — |
| LMArena Korean | 1415 | — |
| LMArena Russian | 1428 | — |
| LMArena Spanish | 1448 | — |
Instruction Following Not comparable
GPT-5.6 Luna: 75.6 (#57), Kimi K2.7 Code: —
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
GPT-5.6 Luna: 43.9 (#82), Kimi K2.7 Code: —
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1436 | — |
Writing & Preference Not comparable
GPT-5.6 Luna: 68.0 (#29), Kimi K2.7 Code: —
| Benchmark | GPT-5.6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1431 | — |
| LMArena Creative Writing | 1396 | — |
| EQ-Bench Creative Writing | 1829 | — |
| EQ-Bench 4 | 1156 | — |
| LMArena Multi-Turn | 1434 | — |
Frequently asked questions
Is GPT-5.6 Luna better than Kimi K2.7 Code?
GPT-5.6 Luna is the stronger model overall, scoring 54.6 to 43.3 on the Noometry Index.
Which is cheaper, GPT-5.6 Luna or Kimi K2.7 Code?
GPT-5.6 Luna is cheaper. It lists at $0.20 per million input tokens and $1.20 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is GPT-5.6 Luna or Kimi K2.7 Code better for coding?
GPT-5.6 Luna scores higher on coding benchmarks: 54.5 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.6 Luna does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.6 Luna and Kimi K2.7 Code share?
18 benchmarks have published results for both models. GPT-5.6 Luna has 52 scored results on Noometry and Kimi K2.7 Code has 19.