Kimi K3 vs Inkling
Kimi K3 leads Inkling on coding, 62.3 to 31.5 on the Vibe Coding Index, and Inkling costs 3.7x less per output token ($4.05 vs $15.00 per million). Updated October 22, 2026; 99 benchmarks have a result for both.
Kimi K3 or Inkling: which to pick
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 31.5 for Inkling.
Pick Inkling for output tokens 3.7x cheaper ($4.05 vs $15.00 per million) and a lower cost per solved task ($0.76 against $0.81).
- Shared results
- 99
- Kimi K3 only
- 18
- Inkling only
- 3
- 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 K3
Kimi K3 scores 62.3 against 31.5.
6 benchmarks behind each score
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 25.0.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K3
Kimi K3 leads, 92.9% against 87.1%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 86.3%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1334 against 1224.
Same board, both measured
General
Vals Index
Kimi K3
Kimi K3 leads, 53.0% against 29.0%.
Same board, both measured
Long documents
Listed context window
Kimi K3
Kimi K3 takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling
Kimi K3 $0.011, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Inkling
Kimi K3 $0.81, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K3 62.3 from 6 benchmarks, Inkling 31.5 from 6 benchmarks.
- Widest category
- Math, 29.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- ProofBench: Kimi K3 87.0% against Inkling 0.0%, 87.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K3 $15.00 against Inkling $4.05 per million output tokens, 3.7x apart.
- Context window
- Kimi K3 takes 1.05M 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 K3 | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 21 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 10 | 0 | 1 tie | |
| Reasoning | 13 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 11 | 0 | ||
| Web design | 8 | 0 | ||
| General | 26 | 0 | ||
| All shared boards | 97 | 1 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index211
| Benchmark | Kimi K3 | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | 59.3% | 64.0% | Inkling |
| LMArena WebDev | 1655 | 1414 | Kimi K3 |
| AA Coding Index | 76.2 | 52.1 | Kimi K3 |
| LiveCodeBench (Vals AI) | 87.2% | 85.5% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 93.4% | 77.6% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | 17.2% | 0.5% | Kimi K3 |
| Vibe Code Bench (Vals AI) | 85.0% | 19.2% | Kimi K3 |
| Code migration (Vals AI) | 16.1% | 11.8% | Kimi K3 |
| ProgramBench (Vals AI) | 2.0% | 0.0% | Kimi K3 |
| IOI (Vals AI) | 48.9% | 14.9% | Kimi K3 |
| Terminal-Bench 2.1 (Vals AI) | 80.9% | 47.6% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | 44.2% | Not measured | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.2% | 7.3% | Kimi K3 |
| SkillsBench (Vals AI) | Not measured | 26.1% | Only Inkling measured |
| CyberBench (Vals AI) | 75.2% | 66.8% | Kimi K3 |
| SciCode | 59.5% | 47.0% | Kimi K3 |
| FrontierCode | 44.2% | 14.0% | Kimi K3 |
| FrontierSWE | 25.9% | 4.1% | Kimi K3 |
| WeirdML | 82.6% | 32.3% | Kimi K3 |
| ALE-Bench | 1524.5 | 946.0 | Kimi K3 |
| LMArena Text: coding | 1508 | 1466 | Kimi K3 |
| LMArena Text: software and IT | 1499 | 1465 | Kimi K3 |
| LMArena WebDev: React | 1670 | 1404 | Kimi K3 |
| LMArena WebDev: HTML | 1644 | 1399 | Kimi K3 |
| LMArena WebDev: from an image | 1579 | Not measured | Only Kimi K3 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 K3 | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 43.6 | 25.0 | Kimi K3 |
| Epoch Capabilities Index | 157.9 | 148.4 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Kimi K3 | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 50.0 | 22.5 | Kimi K3 |
| Design Arena: agents building web apps | 1295 | 1196 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1315 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building mobile apps | 1269 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building Android apps | 1253 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building Godot games | 1223 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building games | 1252 | Not measured | Only Kimi K3 measured |
| Design Arena: HTML slides | 1206 | Not measured | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | 1248 | Not measured | Only Kimi K3 measured |
| Design Arena: spreadsheets | 1096 | Not measured | Only Kimi K3 measured |
| LiveBench research | 79.0% | 59.9% | Kimi K3 |
| LiveBench browser | 16.0% | 16.0% | Tie |
| LiveBench long agentic | 42.8% | 14.1% | Kimi K3 |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | 53.1% | 46.6% | Kimi K3 |
| Tax Agent Bench (Vals AI) | 33.4% | 15.3% | Kimi K3 |
| Legal Research Bench (Vals AI) | 46.1% | 28.4% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.9% | 3.8% | Kimi K3 |
| Excel Modeling Benchmark (Vals AI) | 66.7% | 38.4% | Kimi K3 |
| BioMysteryBench (Vals AI) | 72.6% | Not measured | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Kimi K3 measured |
| Time Horizon Index (Vals AI) | 10.5% | Not measured | Only Kimi K3 measured |
| APEX-Agents | 47.8% | 33.8% | Kimi K3 |
| PostTrainBench | 32.0% | Not measured | Only Kimi K3 measured |
| Vending-Bench 2 | $5,165 | Not measured | Only Kimi K3 measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
| Benchmark | Kimi K3 | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | 87.1% | Kimi K3 |
| LiveBench reasoning | 90.7% | 78.3% | Kimi K3 |
| MMMU Pro (Vals AI) | 88.2% | 78.5% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 93.5% | 87.2% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 46.9% | 31.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 93.1% | 88.3% | Kimi K3 |
| ARC-AGI | 94.5% | 79.5% | Kimi K3 |
| ARC-AGI-2 | 60.4% | 36.5% | Kimi K3 |
| SimpleBench | 60.7% | 50.0% | Kimi K3 |
| Chess puzzles | 37.0% | 21.0% | Kimi K3 |
| Mystery game puzzles | 26.0% | Not measured | Only Kimi K3 measured |
| LMArena Text: hard prompts | 1495 | 1451 | Kimi K3 |
| LMArena Text: expert | 1520 | 1466 | Kimi K3 |
| LMArena Text: hard prompts in English | 1496 | 1448 | Kimi K3 |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Kimi K3 | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.2% | 88.9% | Kimi K3 |
| FrontierMath, tiers 1 to 3 | 72.2% | 33.3% | Kimi K3 |
| FrontierMath, tier 4 | 39.0% | 4.9% | Kimi K3 |
| ProofBench | 87.0% | 0.0% | Kimi K3 |
| LMArena Text: math | 1494 | 1479 | Kimi K3 |
| LMArena Text: mathematical work | 1505 | 1460 | Kimi K3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Kimi K3 | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 88.0% | 86.3% | Kimi K3 |
| LegalBench (Vals AI) | 86.2% | 83.0% | Kimi K3 |
| CorpFin (Vals AI) | 71.6% | 68.6% | Kimi K3 |
| TaxEval (Vals AI) | 75.7% | 75.3% | Kimi K3 |
| MortgageTax (Vals AI) | 66.3% | 64.0% | Kimi K3 |
| MedCode (Vals AI) | 49.4% | 41.2% | Kimi K3 |
| SimpleQA Verified | 50.6% | 40.3% | Kimi K3 |
| LMArena Text: science | 1508 | 1455 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1489 | 1447 | Kimi K3 |
| LMArena Text: legal and government | 1503 | 1448 | Kimi K3 |
| LMArena Text: business and finance | 1470 | 1438 | Kimi K3 |
| 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 K3 | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1334 | 1224 | Kimi K3 |
| Design Arena: UI components | 1340 | 1199 | Kimi K3 |
| Design Arena: game dev | 1360 | 1165 | Kimi K3 |
| Design Arena: data viz | 1352 | 1157 | Kimi K3 |
| Design Arena: 3D | 1387 | 1160 | Kimi K3 |
| Design Arena: all code categories | 1360 | 1205 | Kimi K3 |
| Design Arena: SVG | 1302 | 1107 | Kimi K3 |
| Design Arena: ASCII art | Not measured | 1089 | Only Inkling measured |
| LiveBench design | 77.2% | 58.3% | Kimi K3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Kimi K3 | 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
Inkling costs less
Repository review
50K input + 3K output tokens
Inkling costs less
Agent loop
200K input + 10K output tokens
Inkling 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 K3 | Thinking Machines Inkling |
|---|---|---|
| Maker | Moonshot AI | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | July 16, 2026 | July 17, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $3.00 | $1.00 |
| Output $/Mtok | $15.00 | $4.05 |
| Coding index | 62.3 | 31.5 |
| Independent measurements behind it | 6 | 6 |
| Cost per solved task | $0.81 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3 better than Inkling for coding?
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 31.5 for Inkling. Pick Inkling for output tokens 3.7x cheaper ($4.05 vs $15.00 per million) and a lower cost per solved task ($0.76 against $0.81).
Which is cheaper, Kimi K3 or Inkling?
Kimi K3 costs $3.00 per million input tokens and $15.00 per million output tokens; Inkling costs $1.00 and $4.05. Per solved SWE-bench Verified task, Kimi K3 costs $0.81 and Inkling $0.76.
Which has the bigger context window, Kimi K3 or Inkling?
Kimi K3, with 1.05M tokens against 524K.
How many benchmarks is the Kimi K3 vs Inkling comparison based on?
99 benchmarks have a result for both models as of October 22, 2026. Kimi K3's coding index rests on 6 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.