Claude Sonnet 4.6 vs Kimi K3
Updated October 21, 2026. 94 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 57.8 for Claude Sonnet 4.6.
Pick Claude Sonnet 4.6 when what matters is LiveBench coding or Code migration (Vals AI), where it leads.
- Shared results
- 94
- Claude Sonnet 4.6 only
- 23
- Kimi K3 only
- 23
- 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
Kimi K3
Kimi K3 scores 61.8 against 57.8.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 30.1.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 31.8.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K3
Kimi K3 leads, 92.9% against 85.6%.
Same board, both measured
Math
AIME
No call
Only Claude Sonnet 4.6 has a AIME result, 92.3%.
Directional only
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 87.3%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1336 against 1285.
Same board, both measured
General
Vals Index
No call
Only Kimi K3 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
Kimi K3
Kimi K3 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K3
Claude Sonnet 4.6 $0.011, Kimi K3 $0.0062 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K3
Claude Sonnet 4.6 $1.68, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Sonnet 4.6 57.8 from 2 benchmarks, Kimi K3 61.8 from 2 benchmarks.
- Widest category
- Math, 15.6 points apart on average over 4 shared benchmarks.
- Widest single gap
- LiveBench browser: Claude Sonnet 4.6 68.0% against Kimi K3 16.0%, 52.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.6 $15.00 against Kimi K3 $11.936 per million output tokens, 1.3x apart.
- Context window
- Claude Sonnet 4.6 takes 1M tokens, Kimi K3 1.05M.
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 | Claude Sonnet 4.6 | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 2 | 15 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 3 | 13 | ||
| Reasoning | 1 | 12 | ||
| Math | 0 | 4 | ||
| Knowledge | 2 | 8 | ||
| Web design | 0 | 8 | ||
| General | 0 | 24 | ||
| All shared boards | 8 | 86 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index215
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 66.6% | 59.3% | Claude Sonnet 4.6 |
| LMArena WebDev | 1523 | 1655 | Kimi K3 |
| AA Coding Index | 63.0 | 76.2 | Kimi K3 |
| LiveCodeBench (Vals AI) | 82.1% | 87.2% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 77.4% | 93.4% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 17.2% | Only Kimi K3 measured |
| Vibe Code Bench (Vals AI) | 55.8% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 39.9% | 16.1% | Claude Sonnet 4.6 |
| ProgramBench (Vals AI) | 0.5% | 2.0% | Kimi K3 |
| IOI (Vals AI) | Not measured | 48.9% | Only Kimi K3 measured |
| Terminal-Bench 2.1 (Vals AI) | 57.3% | 80.9% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | Not measured | 44.2% | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 18.2% | Only Kimi K3 measured |
| SkillsBench (Vals AI) | 49.0% | Not measured | Only Claude Sonnet 4.6 measured |
| CyberBench (Vals AI) | Not measured | 75.2% | Only Kimi K3 measured |
| SciCode | 50.1% | 59.5% | Kimi K3 |
| Terminal-Bench Hard (Artificial Analysis run) | 53.0% | Not measured | Only Claude Sonnet 4.6 measured |
| Terminal-Bench | 53.4% | Not measured | Only Claude Sonnet 4.6 measured |
| FrontierCode | 24.3% | 44.2% | Kimi K3 |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | 66.1% | 82.6% | Kimi K3 |
| ALE-Bench | Not measured | 1524.5 | Only Kimi K3 measured |
| LMArena Text: coding | 1503 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1491 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1512 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1527 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | 1529 | 1579 | Kimi K3 |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 30.1 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 152.8 | 157.9 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index313
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 31.8 | 50.0 | Kimi K3 |
| Design Arena: agents building web apps | 1190 | 1296 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1213 | 1315 | Kimi K3 |
| Design Arena: agents building mobile apps | 1212 | 1267 | Kimi K3 |
| Design Arena: agents building Android apps | 1202 | 1256 | Kimi K3 |
| Design Arena: agents building Godot games | 1226 | 1223 | Claude Sonnet 4.6 |
| Design Arena: agents building games | 1177 | 1252 | Kimi K3 |
| Design Arena: HTML slides | Not measured | 1256 | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | Not measured | 1273 | Only Kimi K3 measured |
| Design Arena: spreadsheets | Not measured | 1058 | Only Kimi K3 measured |
| LiveBench research | 63.6% | 79.0% | Kimi K3 |
| LiveBench browser | 68.0% | 16.0% | Claude Sonnet 4.6 |
| LiveBench long agentic | 23.1% | 42.8% | Kimi K3 |
| Finance Agent (Vals AI) | 51.0% | 53.1% | Kimi K3 |
| Tax Agent Bench (Vals AI) | 25.8% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 38.5% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 60.2% | 66.7% | Kimi K3 |
| BioMysteryBench (Vals AI) | Not measured | 72.6% | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Kimi K3 measured |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| τ²-Bench Telecom | 79.5% | Not measured | Only Claude Sonnet 4.6 measured |
| APEX-Agents | 43.0% | 47.8% | Kimi K3 |
| OSWorld 2.0 | 9.3% | Not measured | Only Claude Sonnet 4.6 measured |
| DeepResearch Bench | 54.9% | Not measured | Only Claude Sonnet 4.6 measured |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| OSWorld | 72.1% | Not measured | Only Claude Sonnet 4.6 measured |
| Vending-Bench 2 | $7,204 | $5,165 | Claude Sonnet 4.6 |
| Neither model has a result on the other 11 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index112
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 85.6% | 92.9% | Kimi K3 |
| LiveBench reasoning | 86.4% | 90.7% | Kimi K3 |
| MMMU Pro (Vals AI) | 83.6% | 88.2% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 93.5% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 33.6% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 87.4% | 93.1% | Kimi K3 |
| ARC-AGI | 86.5% | 94.5% | Kimi K3 |
| ARC-AGI-2 | 60.4% | 60.4% | Claude Sonnet 4.6 |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 23.0% | 37.0% | Kimi K3 |
| Mystery game puzzles | 16.0% | 26.0% | Kimi K3 |
| LMArena Text: hard prompts | 1485 | 1495 | Kimi K3 |
| LMArena Text: expert | 1500 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1493 | 1496 | Kimi K3 |
| LMArena Vision: diagrams | 1306 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: homework | 1311 | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| AIME | 92.3% | Not measured | Only Claude Sonnet 4.6 measured |
| OTIS Mock AIME | 85.8% | 97.2% | Kimi K3 |
| FrontierMath, tiers 1 to 3 | Not measured | 72.2% | Only Kimi K3 measured |
| FrontierMath, tier 4 | Not measured | 39.0% | Only Kimi K3 measured |
| ProofBench | 45.0% | 87.0% | Kimi K3 |
| LMArena Text: math | 1462 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1483 | 1505 | Kimi K3 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 88.0% | Kimi K3 |
| LegalBench (Vals AI) | 82.1% | 86.2% | Kimi K3 |
| CaseLaw (Vals AI) | 64.0% | Not measured | Only Claude Sonnet 4.6 measured |
| CorpFin (Vals AI) | 65.3% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 77.1% | 75.7% | Claude Sonnet 4.6 |
| MortgageTax (Vals AI) | 67.7% | 66.3% | Claude Sonnet 4.6 |
| MedQA (Vals AI) | 92.1% | Not measured | Only Claude Sonnet 4.6 measured |
| MedCode (Vals AI) | Not measured | 49.4% | Only Kimi K3 measured |
| SimpleQA Verified | 35.5% | 50.6% | Kimi K3 |
| LMArena Text: science | 1474 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1451 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1470 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1464 | 1470 | Kimi K3 |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1285 | 1336 | Kimi K3 |
| Design Arena: UI components | 1271 | 1345 | Kimi K3 |
| Design Arena: game dev | 1259 | 1361 | Kimi K3 |
| Design Arena: data viz | 1278 | 1350 | Kimi K3 |
| Design Arena: 3D | 1234 | 1388 | Kimi K3 |
| Design Arena: all code categories | 1276 | 1361 | Kimi K3 |
| Design Arena: SVG | 1196 | 1301 | Kimi K3 |
| Design Arena: ASCII art | 1235 | Not measured | Only Claude Sonnet 4.6 measured |
| LiveBench design | 71.8% | 77.2% | Kimi K3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index024
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | 76.1% | 78.7% | Kimi K3 |
| Public Benefits Bench (Vals AI) | 62.5% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 46.6% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | Not measured | 88.0% | Only Kimi K3 measured |
| Vals Multimodal Index | 60.6% | 73.4% | Kimi K3 |
| IFBench | 56.6% | Not measured | Only Claude Sonnet 4.6 measured |
| Long context reasoning (AA-LCR) | 80.0% | 88.7% | Kimi K3 |
| DTBench | 89.9% | 91.2% | Kimi K3 |
| LMCA | 46.5% | 52.7% | Kimi K3 |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | Not measured | 34.2% | Only Kimi K3 measured |
| ExploitBench | 23.6% | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text | 1458 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1476 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1435 | 1457 | Kimi K3 |
| LMArena Vision | 1283 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Text: English | 1472 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1440 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1491 | 1529 | Kimi K3 |
| LMArena Text: German | 1428 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1420 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1410 | 1460 | Kimi K3 |
| LMArena Text: French | 1465 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1464 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1440 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1443 | 1458 | Kimi K3 |
| LMArena Text: multi-turn | 1464 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1479 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1444 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1431 | 1453 | Kimi K3 |
| LMArena Vision: English | 1298 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: Chinese | 1307 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: reading text | 1296 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: humor | 1248 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: recognizing things | 1195 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Vision: creative writing | 1272 | Not measured | Only Claude Sonnet 4.6 measured |
| LMArena Document | 1482 | Not measured | Only Claude Sonnet 4.6 measured |
| Neither model has a result on the other 8 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 4.6 | Kimi K3 | 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 K3 costs less
Repository review
50K input + 3K output tokens
Kimi K3 costs less
Agent loop
200K input + 10K output tokens
Kimi K3 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 | Anthropic Claude Sonnet 4.6 | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | Anthropic | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | February 17, 2026 | July 16, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $3.00 | $0.239 |
| Output $/Mtok | $15.00 | $11.936 |
| Coding index | 57.8 | 61.8 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $1.68 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.6 better than Kimi K3 for coding?
Pick Kimi K3 for coding: it scores 61.8 on the Vibe Coding Index against 57.8 for Claude Sonnet 4.6. Pick Claude Sonnet 4.6 when what matters is LiveBench coding or Code migration (Vals AI), where it leads.
Which is cheaper, Claude Sonnet 4.6 or Kimi K3?
Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Kimi K3 costs $0.239 and $11.936. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and Kimi K3 $0.81.
Which has the bigger context window, Claude Sonnet 4.6 or Kimi K3?
Kimi K3, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 4.6 vs Kimi K3 comparison based on?
94 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 2 independent benchmarks and Kimi K3's on 2. Where only one model has a result, the page says so instead of naming a winner.