GPT-5.6 Sol vs Kimi K2.6
Updated October 21, 2026. 106 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-5.6 Sol for coding: it scores 76.7 on the Vibe Coding Index against 44.2 for Kimi K2.6.
Pick Kimi K2.6 when output tokens cost 5.9x less, or when a solved task costs $0.35 against $1.20.
- Shared results
- 106
- GPT-5.6 Sol only
- 30
- Kimi K2.6 only
- 3
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
GPT-5.6 Sol
GPT-5.6 Sol scores 76.7 against 44.2.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 47.0 against 27.0.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Sol
GPT-5.6 Sol leads, 50.2 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Sol
GPT-5.6 Sol leads, 95.2% against 89.1%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.6 Sol
GPT-5.6 Sol leads, 89.1% against 87.6%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Sol
GPT-5.6 Sol leads, 1321 against 1269.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Sol
GPT-5.6 Sol takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.6
GPT-5.6 Sol $0.014, Kimi K2.6 $0.0024 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.6
GPT-5.6 Sol $1.20, Kimi K2.6 $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.6 Sol 76.7 from 2 benchmarks, Kimi K2.6 44.2 from 1 benchmark.
- Widest category
- Math, 27.2 points apart on average over 6 shared benchmarks.
- Widest single gap
- ProofBench: GPT-5.6 Sol 83.0% against Kimi K2.6 16.0%, 67.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.6 Sol $20.00 against Kimi K2.6 $3.41 per million output tokens, 5.9x apart.
- Context window
- GPT-5.6 Sol takes 1.05M tokens, Kimi K2.6 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 Sol | Bars | Kimi K2.6 | Ties |
|---|---|---|---|---|
| Coding | 16 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 14 | 2 | ||
| Reasoning | 12 | 1 | ||
| Math | 5 | 1 | ||
| Knowledge | 8 | 3 | ||
| Web design | 8 | 0 | ||
| General | 25 | 8 | ||
| All shared boards | 90 | 16 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index161
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | Not measured | Only GPT-5.6 Sol measured |
| LMArena WebDev | 1616 | 1509 | GPT-5.6 Sol |
| AA Coding Index | 77.4 | 61.8 | GPT-5.6 Sol |
| LiveCodeBench (Vals AI) | 82.6% | 86.8% | Kimi K2.6 |
| SWE-bench Verified (Vals AI) | 96.2% | 76.2% | GPT-5.6 Sol |
| Terminal-Bench 4 (Vals AI) | 37.9% | Not measured | Only GPT-5.6 Sol measured |
| Vibe Code Bench (Vals AI) | 80.5% | 37.9% | GPT-5.6 Sol |
| Code migration (Vals AI) | 52.9% | 27.8% | GPT-5.6 Sol |
| ProgramBench (Vals AI) | 1.5% | 0.0% | GPT-5.6 Sol |
| IOI (Vals AI) | 91.2% | Not measured | Only GPT-5.6 Sol measured |
| Terminal-Bench 2.1 (Vals AI) | 85.8% | 53.6% | GPT-5.6 Sol |
| Vibe Code Bench 1-100 (Vals AI) | 20.0% | Not measured | Only GPT-5.6 Sol measured |
| SkillsBench (Vals AI) | 54.1% | Not measured | Only GPT-5.6 Sol measured |
| CyberBench (Vals AI) | 76.3% | Not measured | Only GPT-5.6 Sol measured |
| SciCode | 57.8% | 51.5% | GPT-5.6 Sol |
| Terminal-Bench Hard (Artificial Analysis run) | 65.9% | 43.9% | GPT-5.6 Sol |
| FrontierCode | 47.5% | Not measured | Only GPT-5.6 Sol measured |
| FrontierSWE | 32.2% | Not measured | Only GPT-5.6 Sol measured |
| GSO-Bench | 76.5% | Not measured | Only GPT-5.6 Sol measured |
| WeirdML | 88.8% | 55.9% | GPT-5.6 Sol |
| MirrorCode | 20.0% | Not measured | Only GPT-5.6 Sol measured |
| ALE-Bench | 2176.9 | 1092.7 | GPT-5.6 Sol |
| LMArena Text: coding | 1496 | 1489 | GPT-5.6 Sol |
| LMArena Text: software and IT | 1489 | 1484 | GPT-5.6 Sol |
| LMArena WebDev: React | 1620 | 1505 | GPT-5.6 Sol |
| LMArena WebDev: HTML | 1618 | 1485 | GPT-5.6 Sol |
| LMArena WebDev: from an image | 1609 | 1521 | GPT-5.6 Sol |
| 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 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 47.0 | 27.0 | GPT-5.6 Sol |
| Epoch Capabilities Index | 162.8 | 150.9 | GPT-5.6 Sol |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index142
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 50.2 | 20.5 | GPT-5.6 Sol |
| Design Arena: agents building web apps | 1245 | 1268 | Kimi K2.6 |
| Design Arena: agents building full-stack apps | 1261 | 1155 | GPT-5.6 Sol |
| Design Arena: agents building mobile apps | 1249 | 1156 | GPT-5.6 Sol |
| Design Arena: agents building Android apps | 1246 | 1166 | GPT-5.6 Sol |
| Design Arena: agents building Godot games | 1260 | 1120 | GPT-5.6 Sol |
| Design Arena: agents building games | 1267 | 1141 | GPT-5.6 Sol |
| Design Arena: HTML slides | 1286 | 1184 | GPT-5.6 Sol |
| Design Arena: PowerPoint slides | 1240 | 1128 | GPT-5.6 Sol |
| Design Arena: spreadsheets | Not measured | 1276 | Only Kimi K2.6 measured |
| LiveBench research | 54.5% | Not measured | Only GPT-5.6 Sol measured |
| LiveBench browser | 88.0% | Not measured | Only GPT-5.6 Sol measured |
| LiveBench long agentic | 48.5% | Not measured | Only GPT-5.6 Sol measured |
| SREBench (Vals AI) | 30.5% | Not measured | Only GPT-5.6 Sol measured |
| Finance Agent (Vals AI) | 53.8% | 44.9% | GPT-5.6 Sol |
| Tax Agent Bench (Vals AI) | 31.1% | 12.4% | GPT-5.6 Sol |
| Legal Research Bench (Vals AI) | 48.1% | 15.9% | GPT-5.6 Sol |
| Excel Modeling Benchmark (Vals AI) | 72.3% | 57.9% | GPT-5.6 Sol |
| BioMysteryBench (Vals AI) | 71.1% | Not measured | Only GPT-5.6 Sol measured |
| Terminal-Bench-Science (Vals AI) | 20.0% | Not measured | Only GPT-5.6 Sol measured |
| Vals Science Index | 41.5% | Not measured | Only GPT-5.6 Sol measured |
| Time Horizon Index (Vals AI) | 23.8% | Not measured | Only GPT-5.6 Sol measured |
| CUA-bench (Vals AI) | 8.3% | Not measured | Only GPT-5.6 Sol measured |
| τ²-Bench Telecom | 85.1% | 95.9% | Kimi K2.6 |
| OSWorld 2.0 | 27.3% | 4.6% | GPT-5.6 Sol |
| BALROG | 60.0% | Not measured | Only GPT-5.6 Sol measured |
| PostTrainBench | 36.2% | Not measured | Only GPT-5.6 Sol measured |
| Vending-Bench 2 | $9,619 | $6,205 | GPT-5.6 Sol |
| LMArena Search | 1261 | Not measured | Only GPT-5.6 Sol measured |
| Neither model has a result on the other 10 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index121
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| GPQA Diamond | 95.2% | 89.1% | GPT-5.6 Sol |
| LiveBench reasoning | 91.7% | Not measured | Only GPT-5.6 Sol measured |
| MysteryMechanism (Vals AI) | 33.3% | Not measured | Only GPT-5.6 Sol measured |
| MMMU Pro (Vals AI) | 88.8% | 86.3% | GPT-5.6 Sol |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 91.1% | GPT-5.6 Sol |
| Humanity's Last Exam (Artificial Analysis run) | 49.5% | 37.5% | GPT-5.6 Sol |
| GPQA Diamond (Epoch AI run) | 93.5% | 90.8% | GPT-5.6 Sol |
| ARC-AGI | 97.5% | Not measured | Only GPT-5.6 Sol measured |
| ARC-AGI-2 | 92.5% | Not measured | Only GPT-5.6 Sol measured |
| SimpleBench | 64.8% | Not measured | Only GPT-5.6 Sol measured |
| Chess puzzles | 59.0% | 20.0% | GPT-5.6 Sol |
| Mystery game puzzles | 58.0% | 18.0% | GPT-5.6 Sol |
| EBR-bench | 44.8% | 2.4% | GPT-5.6 Sol |
| LMArena Text: hard prompts | 1483 | 1470 | GPT-5.6 Sol |
| LMArena Text: expert | 1517 | 1491 | GPT-5.6 Sol |
| LMArena Text: hard prompts in English | 1477 | 1471 | GPT-5.6 Sol |
| LMArena Vision: diagrams | 1305 | 1298 | GPT-5.6 Sol |
| LMArena Vision: homework | 1305 | 1310 | Kimi K2.6 |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 96.1% | GPT-5.6 Sol |
| FrontierMath, tiers 1 to 3 | 89.1% | 57.2% | GPT-5.6 Sol |
| FrontierMath, tier 4 | 82.9% | 25.6% | GPT-5.6 Sol |
| ProofBench | 83.0% | 16.0% | GPT-5.6 Sol |
| LMArena Text: math | 1473 | 1474 | Kimi K2.6 |
| LMArena Text: mathematical work | 1496 | 1480 | GPT-5.6 Sol |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| MMLU Pro | 89.1% | 87.6% | GPT-5.6 Sol |
| LegalBench (Vals AI) | 87.0% | 84.7% | GPT-5.6 Sol |
| CaseLaw (Vals AI) | Not measured | 61.2% | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 64.4% | 66.7% | Kimi K2.6 |
| TaxEval (Vals AI) | 74.8% | 74.7% | GPT-5.6 Sol |
| MortgageTax (Vals AI) | 67.3% | 65.8% | GPT-5.6 Sol |
| MedCode (Vals AI) | 44.0% | 40.1% | GPT-5.6 Sol |
| SimpleQA Verified | 69.7% | 34.9% | GPT-5.6 Sol |
| LMArena Text: science | 1455 | 1468 | Kimi K2.6 |
| LMArena Text: medicine and healthcare | 1431 | 1457 | Kimi K2.6 |
| LMArena Text: legal and government | 1476 | 1462 | GPT-5.6 Sol |
| LMArena Text: business and finance | 1457 | 1445 | GPT-5.6 Sol |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1321 | 1269 | GPT-5.6 Sol |
| Design Arena: UI components | 1338 | 1266 | GPT-5.6 Sol |
| Design Arena: game dev | 1368 | 1251 | GPT-5.6 Sol |
| Design Arena: data viz | 1323 | 1249 | GPT-5.6 Sol |
| Design Arena: 3D | 1385 | 1268 | GPT-5.6 Sol |
| Design Arena: all code categories | 1341 | 1272 | GPT-5.6 Sol |
| Design Arena: SVG | 1316 | 1181 | GPT-5.6 Sol |
| Design Arena: ASCII art | 1302 | 1164 | GPT-5.6 Sol |
| LiveBench design | 81.6% | Not measured | Only GPT-5.6 Sol measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index258
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.8% | Not measured | Only GPT-5.6 Sol measured |
| Public Benefits Bench (Vals AI) | 66.5% | 56.6% | GPT-5.6 Sol |
| SAGE (Vals AI) | 52.6% | 50.2% | GPT-5.6 Sol |
| MedScribe (Vals AI) | 85.2% | 78.2% | GPT-5.6 Sol |
| Vals Multimodal Index | 72.6% | 56.4% | GPT-5.6 Sol |
| IFBench | 72.7% | 76.0% | Kimi K2.6 |
| Long context reasoning (AA-LCR) | 84.0% | 81.0% | GPT-5.6 Sol |
| DTBench | 95.7% | 90.9% | GPT-5.6 Sol |
| LMCA | 58.5% | 37.3% | GPT-5.6 Sol |
| Surface Evolver Bench | 93.1% | Not measured | Only GPT-5.6 Sol measured |
| Furniture assembly | 56.7% | 21.7% | GPT-5.6 Sol |
| ExploitBench | Not measured | 18.4% | Only Kimi K2.6 measured |
| LMArena Text | 1457 | 1455 | GPT-5.6 Sol |
| LMArena Text: instruction following | 1483 | 1451 | GPT-5.6 Sol |
| LMArena Text: creative writing | 1449 | 1434 | GPT-5.6 Sol |
| LMArena Vision | 1281 | 1282 | Kimi K2.6 |
| LMArena Text: English | 1457 | 1460 | Kimi K2.6 |
| LMArena Text: non-English | 1451 | 1446 | GPT-5.6 Sol |
| LMArena Text: Chinese | 1525 | 1520 | GPT-5.6 Sol |
| LMArena Text: German | 1476 | 1451 | GPT-5.6 Sol |
| LMArena Text: Japanese | 1472 | 1443 | GPT-5.6 Sol |
| LMArena Text: Korean | 1442 | 1427 | GPT-5.6 Sol |
| LMArena Text: French | 1472 | 1471 | GPT-5.6 Sol |
| LMArena Text: Spanish | 1443 | 1464 | Kimi K2.6 |
| LMArena Text: Russian | 1471 | 1446 | GPT-5.6 Sol |
| LMArena Text: Polish | 1459 | 1438 | GPT-5.6 Sol |
| LMArena Text: multi-turn | 1461 | 1453 | GPT-5.6 Sol |
| LMArena Text: longer queries | 1481 | 1468 | GPT-5.6 Sol |
| LMArena Text: writing and language | 1462 | 1439 | GPT-5.6 Sol |
| LMArena Text: entertainment and media | 1450 | 1428 | GPT-5.6 Sol |
| LMArena Vision: English | 1280 | 1287 | Kimi K2.6 |
| LMArena Vision: Chinese | 1313 | 1346 | Kimi K2.6 |
| LMArena Vision: reading text | 1290 | 1291 | Kimi K2.6 |
| LMArena Vision: humor | 1246 | 1280 | Kimi K2.6 |
| LMArena Vision: creative writing | 1283 | 1273 | GPT-5.6 Sol |
| LMArena Document | 1483 | 1451 | GPT-5.6 Sol |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.6 Sol | Kimi K2.6 | 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
Kimi K2.6 costs less
Repository review
50K input + 3K output tokens
Kimi K2.6 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.6 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 Sol | MoonshotAI Kimi K2.6 |
|---|---|---|
| Maker | OpenAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | July 9, 2026 | April 20, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $4.00 | $0.65 |
| Output $/Mtok | $20.00 | $3.41 |
| Coding index | 76.7 | 44.2 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $1.20 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Sol better than Kimi K2.6 for coding?
Pick GPT-5.6 Sol for coding: it scores 76.7 on the Vibe Coding Index against 44.2 for Kimi K2.6. Pick Kimi K2.6 when output tokens cost 5.9x less, or when a solved task costs $0.35 against $1.20.
Which is cheaper, GPT-5.6 Sol or Kimi K2.6?
GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens; Kimi K2.6 costs $0.65 and $3.41. Per solved SWE-bench Verified task, GPT-5.6 Sol costs $1.20 and Kimi K2.6 $0.35.
Which has the bigger context window, GPT-5.6 Sol or Kimi K2.6?
GPT-5.6 Sol, with 1.05M tokens against 262K.
How many benchmarks is the GPT-5.6 Sol vs Kimi K2.6 comparison based on?
106 benchmarks have a result for both models as of October 21, 2026. GPT-5.6 Sol's coding index rests on 2 independent benchmarks and Kimi K2.6's on 1. Where only one model has a result, the page says so instead of naming a winner.