Kimi K2.7 Code vs Inkling
Kimi K2.7 Code leads Inkling on coding, 53.4 to 31.5 on the Vibe Coding Index, at about the same output price ($4.00 vs $4.05 per million). Updated October 22, 2026; 38 benchmarks have a result for both.
Kimi K2.7 Code or Inkling: which to pick
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 31.5 for Inkling, though on 4 benchmarks against 6.
Pick Inkling for a larger context window (524K against 262K tokens) and work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.
- Shared results
- 38
- Kimi K2.7 Code only
- 13
- Inkling only
- 64
- 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
Kimi K2.7 Code
Kimi K2.7 Code scores 53.4 against 31.5.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 25.0.
Same board, both measured
Agentic work
AA Agentic Index
Inkling
Inkling leads, 22.5 against 21.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Inkling has a GPQA Diamond result, 87.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
Kimi K2.7 Code
Kimi K2.7 Code leads, 1263 against 1224.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Inkling
Inkling takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
Kimi K2.7 Code $0.0029, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Kimi K2.7 Code $0.35, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.7 Code 53.4 from 4 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Coding, 11.7 points apart on average over 15 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against Inkling 19.2%, 28.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.7 Code $4.00 against Inkling $4.05 per million output tokens, 1.0x apart.
- Context window
- Kimi K2.7 Code takes 262K tokens, Inkling 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 K2.7 Code | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 12 | 2 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 2 | ||
| Reasoning | 3 | 2 | ||
| Math | 3 | 0 | ||
| Knowledge | 0 | 1 | ||
| Web design | 8 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 30 | 7 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index122
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | 1474 | 1414 | Kimi K2.7 Code |
| AA Coding Index | 60.8 | 52.1 | Kimi K2.7 Code |
| LiveCodeBench (Vals AI) | 82.0% | 85.5% | Inkling |
| SWE-bench Verified (Vals AI) | 78.2% | 77.6% | Kimi K2.7 Code |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | 47.2% | 19.2% | Kimi K2.7 Code |
| Code migration (Vals AI) | 25.4% | 11.8% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | 67.0% | 47.6% | Kimi K2.7 Code |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | 50.0% | 26.1% | Kimi K2.7 Code |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| SciCode | 47.8% | 47.0% | Kimi K2.7 Code |
| Terminal-Bench Hard (Artificial Analysis run) | 44.7% | Not measured | Only Kimi K2.7 Code measured |
| FrontierCode | 30.1% | 14.0% | Kimi K2.7 Code |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | 54.1% | 32.3% | Kimi K2.7 Code |
| ALE-Bench | 886.2 | 946.0 | Inkling |
| LMArena Text: coding | Not measured | 1466 | Only Inkling measured |
| LMArena Text: software and IT | Not measured | 1465 | Only Inkling measured |
| LMArena WebDev: React | 1475 | 1404 | Kimi K2.7 Code |
| LMArena WebDev: HTML | 1451 | 1399 | Kimi K2.7 Code |
| LMArena WebDev: from an image | 1513 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.8 | 25.0 | Kimi K2.7 Code |
| Epoch Capabilities Index | 150.1 | 148.4 | Kimi K2.7 Code |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 21.0 | 22.5 | Inkling |
| Design Arena: agents building web apps | 1176 | 1196 | Inkling |
| Design Arena: agents building full-stack apps | 1175 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | 1143 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | 1138 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building Godot games | 1147 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | 1130 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | 1151 | Not measured | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | 1129 | Not measured | Only Kimi K2.7 Code measured |
| LiveBench research | Not measured | 59.9% | Only Inkling measured |
| LiveBench browser | Not measured | 16.0% | Only Inkling measured |
| LiveBench long agentic | Not measured | 14.1% | Only Inkling measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | Not measured | 46.6% | Only Inkling measured |
| Tax Agent Bench (Vals AI) | Not measured | 15.3% | Only Inkling measured |
| Legal Research Bench (Vals AI) | Not measured | 28.4% | Only Inkling measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 38.4% | Only Inkling measured |
| τ²-Bench Telecom | 90.1% | Not measured | Only Kimi K2.7 Code measured |
| APEX-Agents | 37.6% | 33.8% | Kimi K2.7 Code |
| Vending-Bench 2 | $5,083 | Not measured | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.1% | Only Inkling measured |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | 89.6% | 87.2% | Kimi K2.7 Code |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 31.9% | Kimi K2.7 Code |
| GPQA Diamond (Epoch AI run) | 87.9% | 88.3% | Inkling |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | 57.9% | 50.0% | Kimi K2.7 Code |
| Chess puzzles | 14.0% | 21.0% | Inkling |
| LMArena Text: hard prompts | Not measured | 1451 | Only Inkling measured |
| LMArena Text: expert | Not measured | 1466 | Only Inkling measured |
| LMArena Text: hard prompts in English | Not measured | 1448 | Only Inkling measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 95.6% | 88.9% | Kimi K2.7 Code |
| FrontierMath, tiers 1 to 3 | 54.0% | 33.3% | Kimi K2.7 Code |
| FrontierMath, tier 4 | 12.2% | 4.9% | Kimi K2.7 Code |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| LMArena Text: math | Not measured | 1479 | Only Inkling measured |
| LMArena Text: mathematical work | Not measured | 1460 | Only Inkling measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 86.3% | Only Inkling measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling measured |
| CorpFin (Vals AI) | Not measured | 68.6% | Only Inkling measured |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Inkling measured |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Inkling measured |
| MedCode (Vals AI) | Not measured | 41.2% | Only Inkling measured |
| SimpleQA Verified | 36.5% | 40.3% | Inkling |
| LMArena Text: science | Not measured | 1455 | Only Inkling measured |
| LMArena Text: medicine and healthcare | Not measured | 1447 | Only Inkling measured |
| LMArena Text: legal and government | Not measured | 1448 | Only Inkling measured |
| LMArena Text: business and finance | Not measured | 1438 | Only Inkling measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1263 | 1224 | Kimi K2.7 Code |
| Design Arena: UI components | 1255 | 1198 | Kimi K2.7 Code |
| Design Arena: game dev | 1220 | 1165 | Kimi K2.7 Code |
| Design Arena: data viz | 1227 | 1156 | Kimi K2.7 Code |
| Design Arena: 3D | 1240 | 1160 | Kimi K2.7 Code |
| Design Arena: all code categories | 1252 | 1205 | Kimi K2.7 Code |
| Design Arena: SVG | 1176 | 1108 | Kimi K2.7 Code |
| Design Arena: ASCII art | 1196 | 1089 | Kimi K2.7 Code |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2.7 Code | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | Not measured | 72.8% | Only Inkling measured |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | Not measured | 36.5% | Only Inkling measured |
| MedScribe (Vals AI) | Not measured | 85.4% | Only Inkling measured |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| IFBench | 63.1% | Not measured | Only Kimi K2.7 Code measured |
| Long context reasoning (AA-LCR) | 79.3% | 77.3% | Kimi K2.7 Code |
| DTBench | Not measured | 87.5% | Only Inkling measured |
| LMCA | Not measured | 37.6% | Only Inkling measured |
| Surface Evolver Bench | 48.8% | Not measured | Only Kimi K2.7 Code measured |
| LMArena Text | Not measured | 1442 | Only Inkling measured |
| LMArena Text: instruction following | Not measured | 1425 | Only Inkling measured |
| LMArena Text: creative writing | Not measured | 1390 | Only Inkling measured |
| LMArena Text: English | Not measured | 1442 | Only Inkling measured |
| LMArena Text: non-English | Not measured | 1434 | Only Inkling measured |
| LMArena Text: Chinese | Not measured | 1493 | Only Inkling measured |
| LMArena Text: German | Not measured | 1445 | Only Inkling measured |
| LMArena Text: Japanese | Not measured | 1429 | Only Inkling measured |
| LMArena Text: Korean | Not measured | 1403 | Only Inkling measured |
| LMArena Text: French | Not measured | 1455 | Only Inkling measured |
| LMArena Text: Spanish | Not measured | 1449 | Only Inkling measured |
| LMArena Text: Russian | Not measured | 1430 | Only Inkling measured |
| LMArena Text: Polish | Not measured | 1450 | Only Inkling measured |
| LMArena Text: multi-turn | Not measured | 1437 | Only Inkling measured |
| LMArena Text: longer queries | Not measured | 1435 | Only Inkling measured |
| LMArena Text: writing and language | Not measured | 1404 | Only Inkling measured |
| LMArena Text: entertainment and media | Not measured | 1394 | Only Inkling measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K2.7 Code | Inkling | 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 K2.7 Code costs less
Repository review
50K input + 3K output tokens
Kimi K2.7 Code costs less
Agent loop
200K input + 10K output tokens
Kimi K2.7 Code 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 K2.7 Code | Thinking Machines Inkling |
|---|---|---|
| Maker | Moonshot AI | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | June 12, 2026 | July 17, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.95 | $0.975 |
| Output $/Mtok | $4.00 | $4.05 |
| Coding index | 53.4 | 31.5 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | $0.35 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.7 Code better than Inkling for coding?
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 31.5 for Inkling, though on 4 benchmarks against 6. Pick Inkling for a larger context window (524K against 262K tokens) and work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.
Which is cheaper, Kimi K2.7 Code or Inkling?
Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, Kimi K2.7 Code costs $0.35 and Inkling $0.76.
Which has the bigger context window, Kimi K2.7 Code or Inkling?
Inkling, with 524K tokens against 262K.
How many benchmarks is the Kimi K2.7 Code vs Inkling comparison based on?
38 benchmarks have a result for both models as of October 22, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.