Claude Sonnet 5 vs Kimi K2.6
Claude Sonnet 5 leads Kimi K2.6 on coding, 57.7 to 52.1 on the Vibe Coding Index, and Kimi K2.6 costs 2.5x less per output token ($4.00 vs $10.00 per million). Updated October 21, 2026; 101 benchmarks have a result for both.
Claude Sonnet 5 or Kimi K2.6: which to pick
Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 52.1 for Kimi K2.6.
Pick Kimi K2.6 for output tokens 2.5x cheaper ($4.00 vs $10.00 per million) and a lower cost per solved task ($0.35 against $1.87).
- Shared results
- 101
- Claude Sonnet 5 only
- 20
- Kimi K2.6 only
- 8
- 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
Claude Sonnet 5
Claude Sonnet 5 scores 57.7 against 52.1.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Sonnet 5
Claude Sonnet 5 leads, 38.2 against 27.0.
Same board, both measured
Agentic work
AA Agentic Index
Claude Sonnet 5
Claude Sonnet 5 leads, 43.6 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K2.6
Kimi K2.6 leads, 89.1% against 88.9%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2.6
Kimi K2.6 leads, 87.6% against 87.5%.
Same board, both measured
Web design
Design Arena: websites
Claude Sonnet 5
Claude Sonnet 5 leads, 1274 against 1269.
Same board, both measured
Long documents
Listed context window
Claude Sonnet 5
Claude Sonnet 5 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.6
Claude Sonnet 5 $0.0070, Kimi K2.6 $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.6
Claude Sonnet 5 $1.87, Kimi K2.6 $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Sonnet 5 57.7 from 6 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
- Widest category
- Math, 12.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- ProofBench: Claude Sonnet 5 77.0% against Kimi K2.6 16.0%, 61.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5 $10.00 against Kimi K2.6 $4.00 per million output tokens, 2.5x apart.
- Context window
- Claude Sonnet 5 takes 1M 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 | Claude Sonnet 5 | Bars | Kimi K2.6 | Ties |
|---|---|---|---|---|
| Coding | 12 | 3 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 13 | 2 | ||
| Reasoning | 4 | 7 | 1 tie | |
| Math | 4 | 2 | ||
| Knowledge | 4 | 7 | ||
| Web design | 7 | 1 | ||
| General | 8 | 23 | ||
| All shared boards | 54 | 45 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index123
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench coding | 74.7% | Not measured | Only Claude Sonnet 5 measured |
| LMArena WebDev | 1540 | 1509 | Claude Sonnet 5 |
| AA Coding Index | 71.5 | 61.8 | Claude Sonnet 5 |
| LiveCodeBench (Vals AI) | 82.4% | 86.8% | Kimi K2.6 |
| SWE-bench Verified (Vals AI) | 79.6% | 76.2% | Claude Sonnet 5 |
| Terminal-Bench 4 (Vals AI) | 10.6% | Not measured | Only Claude Sonnet 5 measured |
| Vibe Code Bench (Vals AI) | 81.3% | 37.9% | Claude Sonnet 5 |
| Code migration (Vals AI) | 44.4% | 27.8% | Claude Sonnet 5 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 45.0% | Not measured | Only Claude Sonnet 5 measured |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 53.6% | Claude Sonnet 5 |
| Vibe Code Bench 1-100 (Vals AI) | 13.8% | Not measured | Only Claude Sonnet 5 measured |
| SkillsBench (Vals AI) | 46.5% | Not measured | Only Claude Sonnet 5 measured |
| CyberBench (Vals AI) | 70.3% | Not measured | Only Claude Sonnet 5 measured |
| SciCode | 54.3% | 51.5% | Claude Sonnet 5 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.9% | Only Kimi K2.6 measured |
| FrontierCode | 42.7% | Not measured | Only Claude Sonnet 5 measured |
| GSO-Bench | 37.3% | Not measured | Only Claude Sonnet 5 measured |
| WeirdML | 68.8% | 55.9% | Claude Sonnet 5 |
| ALE-Bench | 1463.1 | 1092.7 | Claude Sonnet 5 |
| LMArena Text: coding | 1483 | 1489 | Kimi K2.6 |
| LMArena Text: software and IT | 1474 | 1484 | Kimi K2.6 |
| LMArena WebDev: React | 1541 | 1505 | Claude Sonnet 5 |
| LMArena WebDev: HTML | 1527 | 1485 | Claude Sonnet 5 |
| LMArena WebDev: from an image | 1540 | 1521 | Claude Sonnet 5 |
| SciCode | 10.7% | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.2 | 27.0 | Claude Sonnet 5 |
| Epoch Capabilities Index | 156.9 | 150.9 | Claude Sonnet 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index132
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 43.6 | 20.5 | Claude Sonnet 5 |
| Design Arena: agents building web apps | 1245 | 1268 | Kimi K2.6 |
| Design Arena: agents building full-stack apps | 1249 | 1155 | Claude Sonnet 5 |
| Design Arena: agents building mobile apps | 1215 | 1157 | Claude Sonnet 5 |
| Design Arena: agents building Android apps | 1225 | 1160 | Claude Sonnet 5 |
| Design Arena: agents building Godot games | 1225 | 1120 | Claude Sonnet 5 |
| Design Arena: agents building games | 1227 | 1141 | Claude Sonnet 5 |
| Design Arena: HTML slides | 1218 | 1184 | Claude Sonnet 5 |
| Design Arena: PowerPoint slides | 1216 | 1128 | Claude Sonnet 5 |
| Design Arena: spreadsheets | 1021 | 1276 | Kimi K2.6 |
| LiveBench research | 82.8% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench browser | 72.0% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench long agentic | 39.0% | Not measured | Only Claude Sonnet 5 measured |
| SREBench (Vals AI) | 0.4% | Not measured | Only Claude Sonnet 5 measured |
| Finance Agent (Vals AI) | 53.9% | 44.9% | Claude Sonnet 5 |
| Tax Agent Bench (Vals AI) | 29.4% | 12.4% | Claude Sonnet 5 |
| Legal Research Bench (Vals AI) | 41.8% | 15.9% | Claude Sonnet 5 |
| Excel Modeling Benchmark (Vals AI) | 66.3% | 57.9% | Claude Sonnet 5 |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Claude Sonnet 5 measured |
| τ²-Bench Telecom | Not measured | 95.9% | Only Kimi K2.6 measured |
| APEX-Agents | 54.5% | Not measured | Only Claude Sonnet 5 measured |
| OSWorld 2.0 | Not measured | 4.6% | Only Kimi K2.6 measured |
| Vending-Bench 2 | $6,378 | $6,205 | Claude Sonnet 5 |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index47
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| GPQA Diamond | 88.9% | 89.1% | Kimi K2.6 |
| LiveBench reasoning | 88.7% | Not measured | Only Claude Sonnet 5 measured |
| MMMU Pro (Vals AI) | 83.0% | 86.3% | Kimi K2.6 |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 91.1% | Tie |
| Humanity's Last Exam (Artificial Analysis run) | 41.3% | 37.5% | Claude Sonnet 5 |
| GPQA Diamond (Epoch AI run) | 90.5% | 90.8% | Kimi K2.6 |
| SimpleBench | 60.6% | Not measured | Only Claude Sonnet 5 measured |
| Chess puzzles | 45.0% | 20.0% | Claude Sonnet 5 |
| Mystery game puzzles | 35.0% | 18.0% | Claude Sonnet 5 |
| EBR-bench | Not measured | 2.4% | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1461 | 1470 | Kimi K2.6 |
| LMArena Text: expert | 1489 | 1491 | Kimi K2.6 |
| LMArena Text: hard prompts in English | 1464 | 1471 | Kimi K2.6 |
| LMArena Vision: diagrams | 1293 | 1298 | Kimi K2.6 |
| LMArena Vision: homework | 1311 | 1310 | Claude Sonnet 5 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.7% | 96.1% | Kimi K2.6 |
| FrontierMath, tiers 1 to 3 | 65.6% | 57.2% | Claude Sonnet 5 |
| FrontierMath, tier 4 | 29.3% | 25.6% | Claude Sonnet 5 |
| ProofBench | 77.0% | 16.0% | Claude Sonnet 5 |
| LMArena Text: math | 1467 | 1474 | Kimi K2.6 |
| LMArena Text: mathematical work | 1481 | 1480 | Claude Sonnet 5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index47
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| MMLU Pro | 87.5% | 87.6% | Kimi K2.6 |
| LegalBench (Vals AI) | 83.9% | 84.7% | Kimi K2.6 |
| CaseLaw (Vals AI) | Not measured | 61.2% | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 67.0% | 66.7% | Claude Sonnet 5 |
| TaxEval (Vals AI) | 75.6% | 74.7% | Claude Sonnet 5 |
| MortgageTax (Vals AI) | 70.0% | 65.8% | Claude Sonnet 5 |
| MedCode (Vals AI) | 47.5% | 40.1% | Claude Sonnet 5 |
| SimpleQA Verified | 33.7% | 34.9% | Kimi K2.6 |
| LMArena Text: science | 1460 | 1468 | Kimi K2.6 |
| LMArena Text: medicine and healthcare | 1442 | 1457 | Kimi K2.6 |
| LMArena Text: legal and government | 1454 | 1462 | Kimi K2.6 |
| LMArena Text: business and finance | 1436 | 1445 | Kimi K2.6 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1269 | Claude Sonnet 5 |
| Design Arena: UI components | 1280 | 1266 | Claude Sonnet 5 |
| Design Arena: game dev | 1278 | 1251 | Claude Sonnet 5 |
| Design Arena: data viz | 1251 | 1249 | Claude Sonnet 5 |
| Design Arena: 3D | 1261 | 1268 | Kimi K2.6 |
| Design Arena: all code categories | 1276 | 1272 | Claude Sonnet 5 |
| Design Arena: SVG | 1193 | 1181 | Claude Sonnet 5 |
| Design Arena: ASCII art | 1207 | 1165 | Claude Sonnet 5 |
| LiveBench design | 82.0% | Not measured | Only Claude Sonnet 5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index823
| Benchmark | Claude Sonnet 5 | Kimi K2.6 | Leader |
|---|---|---|---|
| LiveBench data analysis | 71.7% | Not measured | Only Claude Sonnet 5 measured |
| Public Benefits Bench (Vals AI) | 66.0% | 56.6% | Claude Sonnet 5 |
| SAGE (Vals AI) | 48.9% | 50.2% | Kimi K2.6 |
| MedScribe (Vals AI) | 76.0% | 78.2% | Kimi K2.6 |
| Vals Multimodal Index | 68.8% | 56.4% | Claude Sonnet 5 |
| IFBench | Not measured | 76.0% | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 82.0% | 81.0% | Claude Sonnet 5 |
| DTBench | 92.5% | 90.9% | Claude Sonnet 5 |
| LMCA | 50.0% | 37.3% | Claude Sonnet 5 |
| Surface Evolver Bench | 60.0% | Not measured | Only Claude Sonnet 5 measured |
| Furniture assembly | Not measured | 21.7% | Only Kimi K2.6 measured |
| ExploitBench | Not measured | 18.4% | Only Kimi K2.6 measured |
| LMArena Text | 1442 | 1455 | Kimi K2.6 |
| LMArena Text: instruction following | 1452 | 1451 | Claude Sonnet 5 |
| LMArena Text: creative writing | 1416 | 1434 | Kimi K2.6 |
| LMArena Vision | 1273 | 1282 | Kimi K2.6 |
| LMArena Text: English | 1450 | 1460 | Kimi K2.6 |
| LMArena Text: non-English | 1431 | 1446 | Kimi K2.6 |
| LMArena Text: Chinese | 1478 | 1520 | Kimi K2.6 |
| LMArena Text: German | 1442 | 1451 | Kimi K2.6 |
| LMArena Text: Japanese | 1422 | 1443 | Kimi K2.6 |
| LMArena Text: Korean | 1412 | 1427 | Kimi K2.6 |
| LMArena Text: French | 1463 | 1471 | Kimi K2.6 |
| LMArena Text: Spanish | 1438 | 1464 | Kimi K2.6 |
| LMArena Text: Russian | 1450 | 1446 | Claude Sonnet 5 |
| LMArena Text: Polish | 1425 | 1438 | Kimi K2.6 |
| LMArena Text: multi-turn | 1453 | 1453 | Kimi K2.6 |
| LMArena Text: longer queries | 1462 | 1468 | Kimi K2.6 |
| LMArena Text: writing and language | 1436 | 1439 | Kimi K2.6 |
| LMArena Text: entertainment and media | 1411 | 1428 | Kimi K2.6 |
| LMArena Vision: English | 1275 | 1287 | Kimi K2.6 |
| LMArena Vision: Chinese | 1331 | 1346 | Kimi K2.6 |
| LMArena Vision: reading text | 1288 | 1291 | Kimi K2.6 |
| LMArena Vision: humor | 1261 | 1280 | Kimi K2.6 |
| LMArena Vision: creative writing | 1246 | 1273 | Kimi K2.6 |
| LMArena Document | 1466 | 1451 | Claude Sonnet 5 |
| 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 | Claude Sonnet 5 | 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 | Anthropic Claude Sonnet 5 | MoonshotAI Kimi K2.6 |
|---|---|---|
| Maker | Anthropic | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | June 30, 2026 | April 20, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $2.00 | $0.95 |
| Output $/Mtok | $10.00 | $4.00 |
| Coding index | 57.7 | 52.1 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $1.87 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5 better than Kimi K2.6 for coding?
Pick Claude Sonnet 5 for coding: it scores 57.7 on the Vibe Coding Index against 52.1 for Kimi K2.6. Pick Kimi K2.6 for output tokens 2.5x cheaper ($4.00 vs $10.00 per million) and a lower cost per solved task ($0.35 against $1.87).
Which is cheaper, Claude Sonnet 5 or Kimi K2.6?
Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, Claude Sonnet 5 costs $1.87 and Kimi K2.6 $0.35.
Which has the bigger context window, Claude Sonnet 5 or Kimi K2.6?
Claude Sonnet 5, with 1M tokens against 262K.
How many benchmarks is the Claude Sonnet 5 vs Kimi K2.6 comparison based on?
101 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5's coding index rests on 6 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.