Claude Sonnet 5.5 vs Kimi K3
Claude Sonnet 5.5 leads Kimi K3 on coding, 87.3 to 62.3 on the Vibe Coding Index, and Claude Sonnet 5.5 costs 1.5x less per output token ($10.00 vs $15.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.
Claude Sonnet 5.5 or Kimi K3: which to pick
Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 62.3 for Kimi K3, though on 5 benchmarks against 6.
Pick Kimi K3 for a larger context window (1.05M against 1M tokens) and work measured by CyberBench (Vals AI) or Design Arena: agents building mobile apps, where it leads.
- Shared results
- 85
- Claude Sonnet 5.5 only
- 11
- Kimi K3 only
- 32
- 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 5.5
Claude Sonnet 5.5 scores 87.3 against 62.3.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 56.0 against 43.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K3 has a AA Agentic Index result, 50.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Kimi K3 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Kimi K3 has a MMLU Pro result, 88.0%.
Directional only
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1334 against 1326.
Same board, both measured
General
Vals Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 70.8% against 53.0%.
Same board, both measured
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
Claude Sonnet 5.5
Claude Sonnet 5.5 $0.0070, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K3 has the number, $0.81.
Directional only
At a glance
- Coding index
- Claude Sonnet 5.5 87.3 from 5 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Agentic work, 18.7 points apart on average over 15 shared benchmarks.
- Widest single gap
- LiveBench browser: Claude Sonnet 5.5 84.0% against Kimi K3 16.0%, 68.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5.5 $10.00 against Kimi K3 $15.00 per million output tokens, 1.5x apart.
- Context window
- Claude Sonnet 5.5 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 5.5 | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 18 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 13 | 2 | ||
| Reasoning | 7 | 1 | ||
| Math | 6 | 0 | ||
| Knowledge | 1 | 5 | ||
| Web design | 6 | 1 | ||
| General | 13 | 9 | ||
| All shared boards | 66 | 19 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index181
| Benchmark | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 94.7% | 59.3% | Claude Sonnet 5.5 |
| LMArena WebDev | 1768 | 1655 | Claude Sonnet 5.5 |
| AA Coding Index | Not measured | 76.2 | Only Kimi K3 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.2% | Only Kimi K3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 93.4% | Only Kimi K3 measured |
| Terminal-Bench 4 (Vals AI) | 64.1% | 17.2% | Claude Sonnet 5.5 |
| Vibe Code Bench (Vals AI) | 92.4% | 85.0% | Claude Sonnet 5.5 |
| Code migration (Vals AI) | 69.8% | 16.1% | Claude Sonnet 5.5 |
| ProgramBench (Vals AI) | 6.5% | 2.0% | Claude Sonnet 5.5 |
| IOI (Vals AI) | 83.1% | 48.9% | Claude Sonnet 5.5 |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | 80.9% | Claude Sonnet 5.5 |
| SWE-bench Multimodal (Vals AI) | 58.3% | 44.2% | Claude Sonnet 5.5 |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 18.2% | Only Kimi K3 measured |
| CyberBench (Vals AI) | 59.6% | 75.2% | Kimi K3 |
| SciCode | 61.0% | 59.5% | Claude Sonnet 5.5 |
| FrontierCode | 52.1% | 44.2% | Claude Sonnet 5.5 |
| FrontierSWE | 61.9% | 25.9% | Claude Sonnet 5.5 |
| WeirdML | Not measured | 82.6% | Only Kimi K3 measured |
| ALE-Bench | 1819.1 | 1524.5 | Claude Sonnet 5.5 |
| LMArena Text: coding | 1513 | 1508 | Claude Sonnet 5.5 |
| LMArena Text: software and IT | 1504 | 1499 | Claude Sonnet 5.5 |
| LMArena WebDev: React | 1817 | 1670 | Claude Sonnet 5.5 |
| LMArena WebDev: HTML | 1741 | 1644 | Claude Sonnet 5.5 |
| LMArena WebDev: from an image | 1737 | 1579 | Claude Sonnet 5.5 |
| SciCode | 13.8% | Not measured | Only Claude Sonnet 5.5 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 | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 56.0 | 43.6 | Claude Sonnet 5.5 |
| Epoch Capabilities Index | 166.2 | 157.9 | Claude Sonnet 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index132
| Benchmark | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.0 | Only Kimi K3 measured |
| Design Arena: agents building web apps | 1305 | 1295 | Claude Sonnet 5.5 |
| Design Arena: agents building full-stack apps | Not measured | 1315 | Only Kimi K3 measured |
| Design Arena: agents building mobile apps | 1260 | 1269 | Kimi K3 |
| Design Arena: agents building Android apps | Not measured | 1253 | Only Kimi K3 measured |
| Design Arena: agents building Godot games | Not measured | 1223 | Only Kimi K3 measured |
| Design Arena: agents building games | Not measured | 1252 | Only Kimi K3 measured |
| Design Arena: HTML slides | Not measured | 1206 | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | Not measured | 1247 | Only Kimi K3 measured |
| Design Arena: spreadsheets | 1260 | 1070 | Claude Sonnet 5.5 |
| LiveBench research | 83.6% | 79.0% | Claude Sonnet 5.5 |
| LiveBench browser | 84.0% | 16.0% | Claude Sonnet 5.5 |
| LiveBench long agentic | 78.8% | 42.8% | Claude Sonnet 5.5 |
| SREBench (Vals AI) | 30.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Finance Agent (Vals AI) | 58.1% | 53.1% | Claude Sonnet 5.5 |
| Tax Agent Bench (Vals AI) | 42.0% | 33.4% | Claude Sonnet 5.5 |
| Legal Research Bench (Vals AI) | 48.1% | 46.1% | Claude Sonnet 5.5 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | 12.9% | Kimi K3 |
| Excel Modeling Benchmark (Vals AI) | 75.7% | 66.7% | Claude Sonnet 5.5 |
| BioMysteryBench (Vals AI) | 81.1% | 72.6% | Claude Sonnet 5.5 |
| Terminal-Bench-Science (Vals AI) | 47.1% | 1.4% | Claude Sonnet 5.5 |
| Vals Science Index | 59.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| APEX-Agents | 75.5% | 47.8% | Claude Sonnet 5.5 |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| SpireClimb | 1.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Vending-Bench 2 | $11,165 | $5,165 | Claude Sonnet 5.5 |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.9% | Only Kimi K3 measured |
| LiveBench reasoning | 91.6% | 90.7% | Claude Sonnet 5.5 |
| MysteryMechanism (Vals AI) | 49.1% | Not measured | Only Claude Sonnet 5.5 measured |
| MMMU Pro (Vals AI) | Not measured | 88.2% | Only Kimi K3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 93.5% | Only Kimi K3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 55.0% | 46.9% | Claude Sonnet 5.5 |
| GPQA Diamond (Epoch AI run) | 95.6% | 93.1% | Claude Sonnet 5.5 |
| ARC-AGI | Not measured | 94.5% | Only Kimi K3 measured |
| ARC-AGI-2 | Not measured | 60.4% | Only Kimi K3 measured |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 59.0% | 37.0% | Claude Sonnet 5.5 |
| Mystery game puzzles | 65.0% | 26.0% | Claude Sonnet 5.5 |
| LMArena Text: hard prompts | 1494 | 1495 | Kimi K3 |
| LMArena Text: expert | 1531 | 1520 | Claude Sonnet 5.5 |
| LMArena Text: hard prompts in English | 1502 | 1496 | Claude Sonnet 5.5 |
| LMArena Vision: diagrams | 1329 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: homework | 1331 | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 97.2% | Claude Sonnet 5.5 |
| FrontierMath, tiers 1 to 3 | 88.8% | 72.2% | Claude Sonnet 5.5 |
| FrontierMath, tier 4 | 80.5% | 39.0% | Claude Sonnet 5.5 |
| ProofBench | 100.0% | 87.0% | Claude Sonnet 5.5 |
| LMArena Text: math | 1497 | 1494 | Claude Sonnet 5.5 |
| LMArena Text: mathematical work | 1510 | 1505 | Claude Sonnet 5.5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.0% | Only Kimi K3 measured |
| LegalBench (Vals AI) | Not measured | 86.2% | Only Kimi K3 measured |
| CorpFin (Vals AI) | Not measured | 71.6% | Only Kimi K3 measured |
| TaxEval (Vals AI) | Not measured | 75.7% | Only Kimi K3 measured |
| MortgageTax (Vals AI) | Not measured | 66.3% | Only Kimi K3 measured |
| MedCode (Vals AI) | 52.9% | 49.4% | Claude Sonnet 5.5 |
| SimpleQA Verified | 46.5% | 50.6% | Kimi K3 |
| LMArena Text: science | 1483 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1464 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1483 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1468 | 1470 | 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 index61
| Benchmark | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1326 | 1334 | Kimi K3 |
| Design Arena: UI components | 1368 | 1341 | Claude Sonnet 5.5 |
| Design Arena: game dev | 1471 | 1358 | Claude Sonnet 5.5 |
| Design Arena: data viz | 1392 | 1351 | Claude Sonnet 5.5 |
| Design Arena: 3D | 1445 | 1387 | Claude Sonnet 5.5 |
| Design Arena: all code categories | 1364 | 1360 | Claude Sonnet 5.5 |
| Design Arena: SVG | Not measured | 1302 | Only Kimi K3 measured |
| LiveBench design | 85.0% | 77.2% | Claude Sonnet 5.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index139
| Benchmark | Claude Sonnet 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | 70.8% | 53.0% | Claude Sonnet 5.5 |
| LiveBench data analysis | 59.5% | 78.7% | Kimi K3 |
| Public Benefits Bench (Vals AI) | 67.2% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 51.8% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 91.1% | 88.0% | Claude Sonnet 5.5 |
| Vals Multimodal Index | Not measured | 73.4% | Only Kimi K3 measured |
| Long context reasoning (AA-LCR) | 82.7% | 88.7% | Kimi K3 |
| DTBench | 97.3% | 91.2% | Claude Sonnet 5.5 |
| LMCA | 68.3% | 52.7% | Claude Sonnet 5.5 |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | 75.0% | 34.2% | Claude Sonnet 5.5 |
| LMArena Text | 1473 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1492 | 1485 | Claude Sonnet 5.5 |
| LMArena Text: creative writing | 1467 | 1457 | Claude Sonnet 5.5 |
| LMArena Vision | 1287 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: English | 1484 | 1481 | Claude Sonnet 5.5 |
| LMArena Text: non-English | 1456 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1535 | 1529 | Claude Sonnet 5.5 |
| LMArena Text: German | Not measured | 1490 | Only Kimi K3 measured |
| LMArena Text: Japanese | Not measured | 1494 | Only Kimi K3 measured |
| LMArena Text: Korean | Not measured | 1460 | Only Kimi K3 measured |
| LMArena Text: French | 1499 | 1492 | Claude Sonnet 5.5 |
| LMArena Text: Spanish | 1451 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1454 | 1485 | Kimi K3 |
| LMArena Text: Polish | Not measured | 1458 | Only Kimi K3 measured |
| LMArena Text: multi-turn | 1465 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1495 | 1494 | Claude Sonnet 5.5 |
| LMArena Text: writing and language | 1474 | 1471 | Claude Sonnet 5.5 |
| LMArena Text: entertainment and media | 1461 | 1453 | Claude Sonnet 5.5 |
| LMArena Vision: English | 1289 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: reading text | 1297 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Vision: creative writing | 1242 | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5.5 | 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
Claude Sonnet 5.5 costs less
Repository review
50K input + 3K output tokens
Claude Sonnet 5.5 costs less
Agent loop
200K input + 10K output tokens
Claude Sonnet 5.5 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 5.5 | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | Anthropic | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | September 28, 2026 | July 16, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.00 | $3.00 |
| Output $/Mtok | $10.00 | $15.00 |
| Coding index | 87.3 | 62.3 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5.5 better than Kimi K3 for coding?
Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 62.3 for Kimi K3, though on 5 benchmarks against 6. Pick Kimi K3 for a larger context window (1.05M against 1M tokens) and work measured by CyberBench (Vals AI) or Design Arena: agents building mobile apps, where it leads.
Which is cheaper, Claude Sonnet 5.5 or Kimi K3?
Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Cost per solved task is known for Kimi K3 only.
Which has the bigger context window, Claude Sonnet 5.5 or Kimi K3?
Kimi K3, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 5.5 vs Kimi K3 comparison based on?
85 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.