Kimi K2.6 vs Inkling Small
Kimi K2.6 leads Inkling Small on coding, 52.1 to 27.3 on the Vibe Coding Index, and Inkling Small costs 3.3x less per output token ($1.20 vs $4.00 per million). Updated October 21, 2026; 76 benchmarks have a result for both.
Kimi K2.6 or Inkling Small: which to pick
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 27.3 for Inkling Small, though on 3 benchmarks against 4.
Pick Inkling Small for output tokens 3.3x cheaper ($1.20 vs $4.00 per million) and a lower cost per solved task ($0.16 against $0.35).
- Shared results
- 76
- Kimi K2.6 only
- 33
- Inkling Small only
- 8
- Like-for-like categories
- 7 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
Kimi K2.6
Kimi K2.6 scores 52.1 against 27.3.
3 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.6
Kimi K2.6 leads, 27.0 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
Inkling Small
Inkling Small leads, 23.5 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K2.6
Kimi K2.6 leads, 89.1% against 83.6%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2.6
Kimi K2.6 leads, 87.6% against 85.6%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K2.6 has a Design Arena: websites result, 1269.
Directional only
General
Vals Index
No call
Only Inkling Small has a Vals Index result, 27.6%.
Directional only
Long documents
Listed context window
Inkling Small
Inkling Small takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling Small
Kimi K2.6 $0.0029, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Inkling Small
Kimi K2.6 $0.35, Inkling Small $0.16.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.6 52.1 from 3 benchmarks, Inkling Small 27.3 from 4 benchmarks.
- Widest category
- Coding, 9.3 points apart on average over 14 shared benchmarks.
- Widest single gap
- Excel Modeling Benchmark (Vals AI): Kimi K2.6 57.9% against Inkling Small 31.8%, 26.1 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.6 $4.00 against Inkling Small $1.20 per million output tokens, 3.3x apart.
- Context window
- Kimi K2.6 takes 262K tokens, Inkling Small 524K.
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 | Kimi K2.6 | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 11 | 3 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 3 | ||
| Reasoning | 10 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 9 | 2 | ||
| General | 26 | 2 | ||
| All shared boards | 66 | 10 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index113
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| LMArena WebDev | 1509 | 1409 | Kimi K2.6 |
| AA Coding Index | 61.8 | 52.9 | Kimi K2.6 |
| LiveCodeBench (Vals AI) | 86.8% | 85.9% | Kimi K2.6 |
| SWE-bench Verified (Vals AI) | 76.2% | 82.2% | Inkling Small |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.0% | Only Inkling Small measured |
| Vibe Code Bench (Vals AI) | 37.9% | 19.1% | Kimi K2.6 |
| Code migration (Vals AI) | 27.8% | 13.7% | Kimi K2.6 |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Inkling Small |
| IOI (Vals AI) | Not measured | 9.3% | Only Inkling Small measured |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | 55.1% | Inkling Small |
| SkillsBench (Vals AI) | Not measured | 33.6% | Only Inkling Small measured |
| CyberBench (Vals AI) | Not measured | 64.1% | Only Inkling Small measured |
| SciCode | 51.5% | 49.7% | Kimi K2.6 |
| Terminal-Bench Hard (Artificial Analysis run) | 43.9% | Not measured | Only Kimi K2.6 measured |
| WeirdML | 55.9% | Not measured | Only Kimi K2.6 measured |
| ALE-Bench | 1092.7 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: coding | 1489 | 1450 | Kimi K2.6 |
| LMArena Text: software and IT | 1484 | 1447 | Kimi K2.6 |
| LMArena WebDev: React | 1505 | 1399 | Kimi K2.6 |
| LMArena WebDev: HTML | 1485 | 1398 | Kimi K2.6 |
| LMArena WebDev: from an image | 1521 | 1410 | Kimi K2.6 |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.0 | 25.7 | Kimi K2.6 |
| Epoch Capabilities Index | 150.9 | 150.3 | Kimi K2.6 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | 20.5 | 23.5 | Inkling Small |
| Design Arena: agents building web apps | 1268 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building full-stack apps | 1155 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building mobile apps | 1157 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Android apps | 1160 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Godot games | 1120 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building games | 1141 | Not measured | Only Kimi K2.6 measured |
| Design Arena: HTML slides | 1184 | Not measured | Only Kimi K2.6 measured |
| Design Arena: PowerPoint slides | 1128 | Not measured | Only Kimi K2.6 measured |
| Design Arena: spreadsheets | 1276 | Not measured | Only Kimi K2.6 measured |
| Finance Agent (Vals AI) | 44.9% | 41.3% | Kimi K2.6 |
| Tax Agent Bench (Vals AI) | 12.4% | 15.4% | Inkling Small |
| Legal Research Bench (Vals AI) | 15.9% | 25.5% | Inkling Small |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 2.9% | Only Inkling Small measured |
| Excel Modeling Benchmark (Vals AI) | 57.9% | 31.8% | Kimi K2.6 |
| τ²-Bench Telecom | 95.9% | Not measured | Only Kimi K2.6 measured |
| OSWorld 2.0 | 4.6% | Not measured | Only Kimi K2.6 measured |
| Vending-Bench 2 | $6,205 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | 89.1% | 83.6% | Kimi K2.6 |
| MMMU Pro (Vals AI) | 86.3% | Not measured | Only Kimi K2.6 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 89.5% | Kimi K2.6 |
| Humanity's Last Exam (Artificial Analysis run) | 37.5% | 33.3% | Kimi K2.6 |
| GPQA Diamond (Epoch AI run) | 90.8% | 88.5% | Kimi K2.6 |
| ARC-AGI | Not measured | 84.0% | Only Inkling Small measured |
| ARC-AGI-2 | Not measured | 40.1% | Only Inkling Small measured |
| Chess puzzles | 20.0% | Not measured | Only Kimi K2.6 measured |
| Mystery game puzzles | 18.0% | 6.0% | Kimi K2.6 |
| EBR-bench | 2.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1470 | 1423 | Kimi K2.6 |
| LMArena Text: expert | 1491 | 1441 | Kimi K2.6 |
| LMArena Text: hard prompts in English | 1471 | 1429 | Kimi K2.6 |
| LMArena Vision: diagrams | 1298 | 1251 | Kimi K2.6 |
| LMArena Vision: homework | 1310 | 1257 | Kimi K2.6 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.1% | 90.0% | Kimi K2.6 |
| FrontierMath, tiers 1 to 3 | 57.2% | 46.3% | Kimi K2.6 |
| FrontierMath, tier 4 | 25.6% | 17.1% | Kimi K2.6 |
| ProofBench | 16.0% | 6.0% | Kimi K2.6 |
| LMArena Text: math | 1474 | 1459 | Kimi K2.6 |
| LMArena Text: mathematical work | 1480 | 1441 | Kimi K2.6 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index92
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | 87.6% | 85.6% | Kimi K2.6 |
| LegalBench (Vals AI) | 84.7% | 83.0% | Kimi K2.6 |
| CaseLaw (Vals AI) | 61.2% | Not measured | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 66.7% | 69.6% | Inkling Small |
| TaxEval (Vals AI) | 74.7% | 75.5% | Inkling Small |
| MortgageTax (Vals AI) | 65.8% | 62.3% | Kimi K2.6 |
| MedCode (Vals AI) | 40.1% | 37.9% | Kimi K2.6 |
| SimpleQA Verified | 34.9% | 19.1% | Kimi K2.6 |
| LMArena Text: science | 1468 | 1428 | Kimi K2.6 |
| LMArena Text: medicine and healthcare | 1457 | 1413 | Kimi K2.6 |
| LMArena Text: legal and government | 1462 | 1415 | Kimi K2.6 |
| LMArena Text: business and finance | 1445 | 1413 | Kimi K2.6 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | Not measured | Only Kimi K2.6 measured |
| Design Arena: UI components | 1266 | Not measured | Only Kimi K2.6 measured |
| Design Arena: game dev | 1251 | Not measured | Only Kimi K2.6 measured |
| Design Arena: data viz | 1249 | Not measured | Only Kimi K2.6 measured |
| Design Arena: 3D | 1268 | Not measured | Only Kimi K2.6 measured |
| Design Arena: all code categories | 1272 | Not measured | Only Kimi K2.6 measured |
| Design Arena: SVG | 1181 | Not measured | Only Kimi K2.6 measured |
| Design Arena: ASCII art | 1165 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index262
| Benchmark | Kimi K2.6 | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | Not measured | 27.6% | Only Inkling Small measured |
| Public Benefits Bench (Vals AI) | 56.6% | 59.4% | Inkling Small |
| SAGE (Vals AI) | 50.2% | 32.7% | Kimi K2.6 |
| MedScribe (Vals AI) | 78.2% | 84.1% | Inkling Small |
| Vals Multimodal Index | 56.4% | 50.0% | Kimi K2.6 |
| IFBench | 76.0% | Not measured | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 81.0% | 75.7% | Kimi K2.6 |
| DTBench | 90.9% | Not measured | Only Kimi K2.6 measured |
| LMCA | 37.3% | Not measured | Only Kimi K2.6 measured |
| Furniture assembly | 21.7% | Not measured | Only Kimi K2.6 measured |
| ExploitBench | 18.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text | 1455 | 1413 | Kimi K2.6 |
| LMArena Text: instruction following | 1451 | 1399 | Kimi K2.6 |
| LMArena Text: creative writing | 1434 | 1334 | Kimi K2.6 |
| LMArena Vision | 1282 | 1237 | Kimi K2.6 |
| LMArena Text: English | 1460 | 1421 | Kimi K2.6 |
| LMArena Text: non-English | 1446 | 1401 | Kimi K2.6 |
| LMArena Text: Chinese | 1520 | 1464 | Kimi K2.6 |
| LMArena Text: German | 1451 | 1408 | Kimi K2.6 |
| LMArena Text: Japanese | 1443 | 1401 | Kimi K2.6 |
| LMArena Text: Korean | 1427 | 1367 | Kimi K2.6 |
| LMArena Text: French | 1471 | 1435 | Kimi K2.6 |
| LMArena Text: Spanish | 1464 | 1422 | Kimi K2.6 |
| LMArena Text: Russian | 1446 | 1394 | Kimi K2.6 |
| LMArena Text: Polish | 1438 | 1428 | Kimi K2.6 |
| LMArena Text: multi-turn | 1453 | 1416 | Kimi K2.6 |
| LMArena Text: longer queries | 1468 | 1402 | Kimi K2.6 |
| LMArena Text: writing and language | 1439 | 1357 | Kimi K2.6 |
| LMArena Text: entertainment and media | 1428 | 1352 | Kimi K2.6 |
| LMArena Vision: English | 1287 | 1243 | Kimi K2.6 |
| LMArena Vision: Chinese | 1346 | 1292 | Kimi K2.6 |
| LMArena Vision: reading text | 1291 | 1243 | Kimi K2.6 |
| LMArena Vision: humor | 1280 | 1207 | Kimi K2.6 |
| LMArena Vision: creative writing | 1273 | 1205 | Kimi K2.6 |
| LMArena Document | 1451 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.6 | Inkling Small | 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
Inkling Small costs less
Repository review
50K input + 3K output tokens
Inkling Small costs less
Agent loop
200K input + 10K output tokens
Inkling Small 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 | MoonshotAI Kimi K2.6 | Thinking Machines Inkling Small |
|---|---|---|
| Maker | Moonshot AI | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | April 20, 2026 | July 30, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.95 | $0.45 |
| Output $/Mtok | $4.00 | $1.20 |
| Coding index | 52.1 | 27.3 |
| Independent measurements behind it | 3 | 4 |
| Cost per solved task | $0.35 | $0.16 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.6 better than Inkling Small for coding?
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 27.3 for Inkling Small, though on 3 benchmarks against 4. Pick Inkling Small for output tokens 3.3x cheaper ($1.20 vs $4.00 per million) and a lower cost per solved task ($0.16 against $0.35).
Which is cheaper, Kimi K2.6 or Inkling Small?
Kimi K2.6 costs $0.95 per million input tokens and $4.00 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, Kimi K2.6 costs $0.35 and Inkling Small $0.16.
Which has the bigger context window, Kimi K2.6 or Inkling Small?
Inkling Small, with 524K tokens against 262K.
How many benchmarks is the Kimi K2.6 vs Inkling Small comparison based on?
76 benchmarks have a result for both models as of October 21, 2026. Kimi K2.6's coding index rests on 3 independent benchmarks and Inkling Small's on 4. Where only one model has a result, the page says so instead of naming a winner.