GPT-5.6 Luna vs Kimi K2.5
GPT-5.6 Luna leads Kimi K2.5 on coding, 58.0 to 38.6 on the Vibe Coding Index, and GPT-5.6 Luna costs 2.4x less per output token ($1.20 vs $2.85 per million). Updated October 22, 2026; 78 benchmarks have a result for both.
GPT-5.6 Luna or Kimi K2.5: which to pick
Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 38.6 for Kimi K2.5.
Pick Kimi K2.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 78
- GPT-5.6 Luna only
- 41
- Kimi K2.5 only
- 21
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
GPT-5.6 Luna
GPT-5.6 Luna scores 58.0 against 38.6.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 37.3 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.6 Luna has a AA Agentic Index result, 42.1.
Directional only
Reasoning
GPQA Diamond
GPT-5.6 Luna
GPT-5.6 Luna leads, 91.7% against 84.1%.
Same board, both measured
Math
AIME
No call
Only Kimi K2.5 has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
GPT-5.6 Luna
GPT-5.6 Luna leads, 86.0% against 85.9%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Luna
GPT-5.6 Luna leads, 1255 against 1248.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Luna
GPT-5.6 Luna takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Luna
GPT-5.6 Luna $0.0008, Kimi K2.5 $0.0020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Luna
GPT-5.6 Luna $0.04, Kimi K2.5 $0.24.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.6 Luna 58.0 from 6 benchmarks, Kimi K2.5 38.6 from 3 benchmarks.
- Widest category
- Agentic work, 24.2 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): GPT-5.6 Luna 77.1% against Kimi K2.5 17.5%, 59.5 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Luna $1.20 against Kimi K2.5 $2.85 per million output tokens, 2.4x apart.
- Context window
- GPT-5.6 Luna takes 1.05M tokens, Kimi K2.5 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-5.6 Luna | Bars | Kimi K2.5 | Ties |
|---|---|---|---|---|
| Coding | 11 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 8 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 7 | 3 | ||
| Web design | 3 | 5 | ||
| General | 6 | 20 | ||
| All shared boards | 41 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index112
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 70.8% | Only Kimi K2.5 measured |
| SWE-bench Multilingual | Not measured | 67.3% | Only Kimi K2.5 measured |
| LiveBench coding | 73.6% | Not measured | Only GPT-5.6 Luna measured |
| LMArena WebDev | 1518 | 1437 | GPT-5.6 Luna |
| AA Coding Index | 71.4 | 46.8 | GPT-5.6 Luna |
| LiveCodeBench (Vals AI) | Not measured | 83.9% | Only Kimi K2.5 measured |
| SWE-bench Verified (Vals AI) | 93.0% | 70.0% | GPT-5.6 Luna |
| Terminal-Bench 4 (Vals AI) | 11.6% | Not measured | Only GPT-5.6 Luna measured |
| Vibe Code Bench (Vals AI) | 77.1% | 17.5% | GPT-5.6 Luna |
| Code migration (Vals AI) | 44.5% | 7.0% | GPT-5.6 Luna |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only GPT-5.6 Luna measured |
| IOI (Vals AI) | 61.8% | Not measured | Only GPT-5.6 Luna measured |
| Terminal-Bench 2.1 (Vals AI) | 79.0% | 42.0% | GPT-5.6 Luna |
| Vibe Code Bench 1-100 (Vals AI) | 22.6% | Not measured | Only GPT-5.6 Luna measured |
| SkillsBench (Vals AI) | 60.5% | Not measured | Only GPT-5.6 Luna measured |
| CyberBench (Vals AI) | 73.6% | Not measured | Only GPT-5.6 Luna measured |
| SciCode | 53.6% | Not measured | Only GPT-5.6 Luna measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 34.8% | Only Kimi K2.5 measured |
| Terminal-Bench | Not measured | 43.2% | Only Kimi K2.5 measured |
| FrontierCode | 39.8% | Not measured | Only GPT-5.6 Luna measured |
| WeirdML | 60.9% | 45.6% | GPT-5.6 Luna |
| ALE-Bench | 1667.4 | 821.6 | GPT-5.6 Luna |
| LMArena Text: coding | 1466 | 1483 | Kimi K2.5 |
| LMArena Text: software and IT | 1463 | 1471 | Kimi K2.5 |
| LMArena WebDev: React | 1508 | 1429 | GPT-5.6 Luna |
| LMArena WebDev: HTML | 1520 | 1426 | GPT-5.6 Luna |
| LMArena WebDev: from an image | 1517 | 1439 | GPT-5.6 Luna |
| SciCode | 6.2% | Not measured | Only GPT-5.6 Luna measured |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 37.3 | 23.5 | GPT-5.6 Luna |
| Epoch Capabilities Index | 156.5 | 148.1 | GPT-5.6 Luna |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 42.1 | Not measured | Only GPT-5.6 Luna measured |
| Design Arena: agents building web apps | Not measured | 1136 | Only Kimi K2.5 measured |
| Design Arena: agents building full-stack apps | Not measured | 1114 | Only Kimi K2.5 measured |
| Design Arena: agents building mobile apps | Not measured | 1147 | Only Kimi K2.5 measured |
| Design Arena: agents building Android apps | Not measured | 1118 | Only Kimi K2.5 measured |
| Design Arena: agents building Godot games | Not measured | 1219 | Only Kimi K2.5 measured |
| LiveBench research | 51.0% | Not measured | Only GPT-5.6 Luna measured |
| LiveBench browser | 68.0% | Not measured | Only GPT-5.6 Luna measured |
| LiveBench long agentic | 30.4% | Not measured | Only GPT-5.6 Luna measured |
| SREBench (Vals AI) | 1.5% | Not measured | Only GPT-5.6 Luna measured |
| Finance Agent (Vals AI) | 55.0% | 35.8% | GPT-5.6 Luna |
| Tax Agent Bench (Vals AI) | 24.8% | Not measured | Only GPT-5.6 Luna measured |
| Legal Research Bench (Vals AI) | 36.5% | 15.9% | GPT-5.6 Luna |
| Excel Modeling Benchmark (Vals AI) | 67.1% | 28.5% | GPT-5.6 Luna |
| BioMysteryBench (Vals AI) | 61.5% | Not measured | Only GPT-5.6 Luna measured |
| Terminal-Bench-Science (Vals AI) | 0.0% | Not measured | Only GPT-5.6 Luna measured |
| Vals Science Index | 25.3% | Not measured | Only GPT-5.6 Luna measured |
| τ²-Bench Telecom | Not measured | 95.9% | Only Kimi K2.5 measured |
| APEX-Agents | 43.0% | Not measured | Only GPT-5.6 Luna measured |
| BALROG | 45.6% | Not measured | Only GPT-5.6 Luna measured |
| OSWorld | Not measured | 63.3% | Only Kimi K2.5 measured |
| Vending-Bench 2 | $4,095 | $1,198 | GPT-5.6 Luna |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index85
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 91.7% | 84.1% | GPT-5.6 Luna |
| LiveBench reasoning | 85.6% | Not measured | Only GPT-5.6 Luna measured |
| MysteryMechanism (Vals AI) | 14.4% | Not measured | Only GPT-5.6 Luna measured |
| MMMU Pro (Vals AI) | 85.0% | 84.3% | GPT-5.6 Luna |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 87.9% | GPT-5.6 Luna |
| Humanity's Last Exam (Artificial Analysis run) | 39.5% | 30.7% | GPT-5.6 Luna |
| GPQA Diamond (Epoch AI run) | 91.6% | Not measured | Only GPT-5.6 Luna measured |
| ARC-AGI | 88.0% | 65.3% | GPT-5.6 Luna |
| ARC-AGI-2 | 59.5% | 11.8% | GPT-5.6 Luna |
| SimpleBench | 46.8% | 46.8% | GPT-5.6 Luna |
| Chess puzzles | 43.0% | Not measured | Only GPT-5.6 Luna measured |
| Mystery game puzzles | 21.0% | Not measured | Only GPT-5.6 Luna measured |
| LMArena Text: hard prompts | 1451 | 1453 | Kimi K2.5 |
| LMArena Text: expert | 1478 | 1466 | GPT-5.6 Luna |
| LMArena Text: hard prompts in English | 1460 | 1460 | Kimi K2.5 |
| LMArena Vision: diagrams | 1273 | 1282 | Kimi K2.5 |
| LMArena Vision: homework | 1282 | 1297 | Kimi K2.5 |
| Kagi LLM Benchmark | 49.1% | 78.5% | Kimi K2.5 |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| AIME | Not measured | 95.6% | Only Kimi K2.5 measured |
| OTIS Mock AIME | 98.3% | Not measured | Only GPT-5.6 Luna measured |
| FrontierMath, tiers 1 to 3 | 82.1% | Not measured | Only GPT-5.6 Luna measured |
| FrontierMath, tier 4 | 61.0% | Not measured | Only GPT-5.6 Luna measured |
| ProofBench | 60.0% | Not measured | Only GPT-5.6 Luna measured |
| LMArena Text: math | 1459 | 1470 | Kimi K2.5 |
| LMArena Text: mathematical work | 1470 | 1473 | Kimi K2.5 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 86.0% | 85.9% | GPT-5.6 Luna |
| LegalBench (Vals AI) | 84.0% | Not measured | Only GPT-5.6 Luna measured |
| CaseLaw (Vals AI) | Not measured | 58.7% | Only Kimi K2.5 measured |
| CorpFin (Vals AI) | 64.2% | 68.3% | Kimi K2.5 |
| TaxEval (Vals AI) | 76.2% | 74.2% | GPT-5.6 Luna |
| MortgageTax (Vals AI) | 67.3% | 66.5% | GPT-5.6 Luna |
| MedQA (Vals AI) | Not measured | 94.4% | Only Kimi K2.5 measured |
| MedCode (Vals AI) | 42.4% | 39.3% | GPT-5.6 Luna |
| SimpleQA Verified | 41.0% | 34.3% | GPT-5.6 Luna |
| LMArena Text: science | 1433 | 1459 | Kimi K2.5 |
| LMArena Text: medicine and healthcare | 1399 | 1448 | Kimi K2.5 |
| LMArena Text: legal and government | 1446 | 1441 | GPT-5.6 Luna |
| LMArena Text: business and finance | 1439 | 1427 | GPT-5.6 Luna |
| FACTS Benchmark Suite | 35.0% | Not measured | Only GPT-5.6 Luna measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | 1248 | GPT-5.6 Luna |
| Design Arena: UI components | 1248 | 1234 | GPT-5.6 Luna |
| Design Arena: game dev | 1194 | 1206 | Kimi K2.5 |
| Design Arena: data viz | 1211 | 1219 | Kimi K2.5 |
| Design Arena: 3D | 1121 | 1204 | Kimi K2.5 |
| Design Arena: all code categories | 1231 | 1236 | Kimi K2.5 |
| Design Arena: SVG | 1194 | 1149 | GPT-5.6 Luna |
| Design Arena: ASCII art | 1142 | 1166 | Kimi K2.5 |
| LiveBench design | 76.0% | Not measured | Only GPT-5.6 Luna measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index620
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| LiveBench data analysis | 78.0% | Not measured | Only GPT-5.6 Luna measured |
| Public Benefits Bench (Vals AI) | 61.2% | Not measured | Only GPT-5.6 Luna measured |
| SAGE (Vals AI) | 44.2% | 49.9% | Kimi K2.5 |
| MedScribe (Vals AI) | 84.4% | 76.4% | GPT-5.6 Luna |
| Vals Multimodal Index | 69.1% | Not measured | Only GPT-5.6 Luna measured |
| IFBench | Not measured | 70.2% | Only Kimi K2.5 measured |
| Long context reasoning (AA-LCR) | 83.7% | 78.0% | GPT-5.6 Luna |
| DTBench | 89.1% | Not measured | Only GPT-5.6 Luna measured |
| LMCA | 48.5% | Not measured | Only GPT-5.6 Luna measured |
| Fiction.LiveBench | Not measured | 86.1% | Only Kimi K2.5 measured |
| CL-bench | Not measured | 19.3% | Only Kimi K2.5 measured |
| Surface Evolver Bench | 61.9% | Not measured | Only GPT-5.6 Luna measured |
| Furniture assembly | 42.5% | Not measured | Only GPT-5.6 Luna measured |
| CL-bench Life | Not measured | 13.2% | Only Kimi K2.5 measured |
| LMArena Text | 1431 | 1445 | Kimi K2.5 |
| LMArena Text: instruction following | 1437 | 1431 | GPT-5.6 Luna |
| LMArena Text: creative writing | 1396 | 1422 | Kimi K2.5 |
| LMArena Vision | 1257 | 1269 | Kimi K2.5 |
| LMArena Text: English | 1441 | 1453 | Kimi K2.5 |
| LMArena Text: non-English | 1417 | 1433 | Kimi K2.5 |
| LMArena Text: Chinese | 1470 | 1494 | Kimi K2.5 |
| LMArena Text: German | 1455 | 1441 | GPT-5.6 Luna |
| LMArena Text: Japanese | 1415 | 1423 | Kimi K2.5 |
| LMArena Text: Korean | 1415 | 1412 | GPT-5.6 Luna |
| LMArena Text: French | 1458 | 1454 | GPT-5.6 Luna |
| LMArena Text: Spanish | 1446 | 1450 | Kimi K2.5 |
| LMArena Text: Russian | 1427 | 1435 | Kimi K2.5 |
| LMArena Text: Polish | 1405 | 1445 | Kimi K2.5 |
| LMArena Text: multi-turn | 1434 | 1444 | Kimi K2.5 |
| LMArena Text: longer queries | 1436 | 1445 | Kimi K2.5 |
| LMArena Text: writing and language | 1419 | 1425 | Kimi K2.5 |
| LMArena Text: entertainment and media | 1402 | 1417 | Kimi K2.5 |
| LMArena Vision: English | 1263 | 1274 | Kimi K2.5 |
| LMArena Vision: Chinese | 1294 | 1328 | Kimi K2.5 |
| LMArena Vision: reading text | 1264 | 1276 | Kimi K2.5 |
| LMArena Vision: humor | 1190 | 1284 | Kimi K2.5 |
| LMArena Vision: captioning | Not measured | 1257 | Only Kimi K2.5 measured |
| LMArena Vision: recognizing things | Not measured | 1285 | Only Kimi K2.5 measured |
| LMArena Vision: creative writing | 1257 | 1269 | Kimi K2.5 |
| LMArena Document | 1457 | Not measured | Only GPT-5.6 Luna measured |
| Neither model has a result on the other 6 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.6 Luna | Kimi K2.5 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-5.6 Luna costs less
Repository review
50K input + 3K output tokens
GPT-5.6 Luna costs less
Agent loop
200K input + 10K output tokens
GPT-5.6 Luna costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5.6 Luna | MoonshotAI Kimi K2.5 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | July 9, 2026 | January 27, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.20 | $0.532 |
| Output $/Mtok | $1.20 | $2.85 |
| Coding index | 58.0 | 38.6 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $0.04 | $0.24 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Luna better than Kimi K2.5 for coding?
Pick GPT-5.6 Luna for coding: it scores 58.0 on the Vibe Coding Index against 38.6 for Kimi K2.5. Pick Kimi K2.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, GPT-5.6 Luna or Kimi K2.5?
GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, GPT-5.6 Luna costs $0.04 and Kimi K2.5 $0.24.
Which has the bigger context window, GPT-5.6 Luna or Kimi K2.5?
GPT-5.6 Luna, with 1.05M tokens against 262K.
How many benchmarks is the GPT-5.6 Luna vs Kimi K2.5 comparison based on?
78 benchmarks have a result for both models as of October 22, 2026. GPT-5.6 Luna's coding index rests on 6 independent benchmarks and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.