Model comparison
GPT-6 Luna vs Kimi K2.7 Code
GPT-6 Luna is the stronger model overall, scoring 53.3 to 43.3 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-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-6 Luna leads 76.1 to 52.9.
- The biggest single-benchmark swing is FrontierMath Tier 4: 56.1% for GPT-6 Luna and 12.2% for Kimi K2.7 Code.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- GPT-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-6 Luna | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 53.3 | 43.3 |
| Released | 2026-09-22 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.10 | $0.95 |
| Output $ / M tokens | $0.50 | $4 |
| Results tracked | 42 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 55.5 (#25), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | 66.6% | 30.5% |
| FrontierCode | 42.4% | 30.1% |
| LMArena WebDev | 1581 | 1473 |
| SciCode | 54.6% | 47.5% |
| ALE-Bench | 1,577 | 886.23 |
| WeirdML | — | 54.1% |
| LMArena Coding | 1439 | — |
Agentic & Tool Use GPT-6 Luna leads
GPT-6 Luna: 33.3 (#54), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | 44.3% | 37.6% |
| GBAEval | — | 0.9% |
| GDP.pdf | 23% | — |
| Vending-Bench 2 | — | 5,083 |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 48.2 (#41), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| CritPt | 19.4% | 10% |
| Chess Puzzles | 31% | 21% |
| Epoch Capabilities Index | 156.28 | 149.97 |
| ARC-AGI-2 | 59.3% | — |
| SimpleBench | — | 57.9% |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | 86.7% | — |
| LMArena Hard Prompts | 1411 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 90.1% | — |
| LMCA | 44.5% | — |
| Surface Evolver Bench | — | 48.8% |
Math GPT-6 Luna leads
GPT-6 Luna: 76.1 (#15), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 78.9% | 54% |
| FrontierMath Tier 4 | 56.1% | 12.2% |
| OTIS Mock AIME 2024-2025 | 98.9% | 95.6% |
| ProofBench | 64% | — |
| LMArena Math | 1416 | — |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 57.0 (#41), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 90.5% | 87.9% |
| SimpleQA Verified | 41.4% | 36.5% |
| LMArena Expert | 1444 | — |
Multimodal Not comparable
GPT-6 Luna: 42.4 (#30), Kimi K2.7 Code: —
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1217 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
Multilingual Not comparable
GPT-6 Luna: 50.5 (#117), Kimi K2.7 Code: —
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1386 | — |
| LMArena Chinese | 1433 | — |
| LMArena French | 1420 | — |
| LMArena German | 1369 | — |
| LMArena Japanese | 1369 | — |
| LMArena Korean | 1360 | — |
| LMArena Russian | 1394 | — |
| LMArena Spanish | 1393 | — |
Instruction Following Not comparable
GPT-6 Luna: 74.3 (#99), Kimi K2.7 Code: —
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1409 | — |
Long Context Not comparable
GPT-6 Luna: 43.0 (#111), Kimi K2.7 Code: —
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1409 | — |
Writing & Preference Not comparable
GPT-6 Luna: 58.3 (#119), Kimi K2.7 Code: —
| Benchmark | GPT-6 Luna | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1391 | — |
| LMArena Creative Writing | 1363 | — |
| LMArena Multi-Turn | 1396 | — |
Frequently asked questions
Is GPT-6 Luna better than Kimi K2.7 Code?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 43.3 on the Noometry Index.
Which is cheaper, GPT-6 Luna or Kimi K2.7 Code?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is GPT-6 Luna or Kimi K2.7 Code better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6 Luna and Kimi K2.7 Code share?
14 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Kimi K2.7 Code has 19.