Claude Haiku 5.5 vs Kimi K3
Claude Haiku 5.5 leads Kimi K3 on coding, 70.7 to 62.3 on the Vibe Coding Index, and Claude Haiku 5.5 costs 30.0x less per output token ($0.50 vs $15.00 per million). Updated October 22, 2026; 58 benchmarks have a result for both.
Claude Haiku 5.5 or Kimi K3: which to pick
Pick Claude Haiku 5.5 for coding: it scores 70.7 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 LMArena WebDev or IOI (Vals AI), where it leads.
- Shared results
- 58
- Claude Haiku 5.5 only
- 5
- Kimi K3 only
- 59
- 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 Haiku 5.5
Claude Haiku 5.5 scores 70.7 against 62.3.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 43.4.
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 1262.
Same board, both measured
General
Vals Index
Claude Haiku 5.5
Claude Haiku 5.5 leads, 58.7% 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 Haiku 5.5
Claude Haiku 5.5 $0.0003, 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 Haiku 5.5 70.7 from 5 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Knowledge, 14.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- LiveBench browser: Claude Haiku 5.5 80.0% against Kimi K3 16.0%, 64.0 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 5.5 $0.50 against Kimi K3 $15.00 per million output tokens, 30.0x apart.
- Context window
- Claude Haiku 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 Haiku 5.5 | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 9 | 6 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 6 | 6 | ||
| Reasoning | 3 | 4 | ||
| Math | 4 | 0 | ||
| Knowledge | 1 | 1 | ||
| Web design | 1 | 6 | ||
| General | 4 | 5 | ||
| All shared boards | 29 | 29 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index96
| Benchmark | Claude Haiku 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 91.4% | 59.3% | Claude Haiku 5.5 |
| LMArena WebDev | 1586 | 1655 | Kimi K3 |
| 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) | 36.4% | 17.2% | Claude Haiku 5.5 |
| Vibe Code Bench (Vals AI) | 90.4% | 85.0% | Claude Haiku 5.5 |
| Code migration (Vals AI) | 44.6% | 16.1% | Claude Haiku 5.5 |
| ProgramBench (Vals AI) | 2.5% | 2.0% | Claude Haiku 5.5 |
| IOI (Vals AI) | 47.3% | 48.9% | Kimi K3 |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 80.9% | Only Kimi K3 measured |
| SWE-bench Multimodal (Vals AI) | 44.0% | 44.2% | Kimi K3 |
| Vibe Code Bench 1-100 (Vals AI) | 20.4% | 18.2% | Claude Haiku 5.5 |
| CyberBench (Vals AI) | 75.5% | 75.2% | Claude Haiku 5.5 |
| SciCode | 55.0% | 59.5% | Kimi K3 |
| FrontierCode | 46.4% | 44.2% | Claude Haiku 5.5 |
| FrontierSWE | 43.8% | 25.9% | Claude Haiku 5.5 |
| WeirdML | Not measured | 82.6% | Only Kimi K3 measured |
| ALE-Bench | Not measured | 1524.5 | Only Kimi K3 measured |
| LMArena Text: coding | Not measured | 1508 | Only Kimi K3 measured |
| LMArena Text: software and IT | Not measured | 1499 | Only Kimi K3 measured |
| LMArena WebDev: React | 1605 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1569 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | Not measured | 1579 | Only Kimi K3 measured |
| SciCode | 9.2% | Not measured | Only Claude Haiku 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 index11
| Benchmark | Claude Haiku 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 43.4 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 159.3 | 157.9 | Claude Haiku 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index66
| Benchmark | Claude Haiku 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 50.0 | Only Kimi K3 measured |
| Design Arena: agents building web apps | Not measured | 1295 | Only Kimi K3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1315 | Only Kimi K3 measured |
| Design Arena: agents building mobile apps | Not measured | 1269 | Only Kimi K3 measured |
| 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 | Not measured | 1070 | Only Kimi K3 measured |
| LiveBench research | 81.9% | 79.0% | Claude Haiku 5.5 |
| LiveBench browser | 80.0% | 16.0% | Claude Haiku 5.5 |
| LiveBench long agentic | 57.6% | 42.8% | Claude Haiku 5.5 |
| SREBench (Vals AI) | 5.7% | Not measured | Only Claude Haiku 5.5 measured |
| Finance Agent (Vals AI) | 54.1% | 53.1% | Claude Haiku 5.5 |
| Tax Agent Bench (Vals AI) | 31.9% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 43.3% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 4.2% | 12.9% | Kimi K3 |
| Excel Modeling Benchmark (Vals AI) | 59.0% | 66.7% | Kimi K3 |
| BioMysteryBench (Vals AI) | 70.4% | 72.6% | Kimi K3 |
| Terminal-Bench-Science (Vals AI) | 10.0% | 1.4% | Claude Haiku 5.5 |
| Vals Science Index | 38.5% | Not measured | Only Claude Haiku 5.5 measured |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| APEX-Agents | 56.1% | 47.8% | Claude Haiku 5.5 |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | $3,602 | $5,165 | Kimi K3 |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Claude Haiku 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.9% | Only Kimi K3 measured |
| LiveBench reasoning | 82.4% | 90.7% | Kimi K3 |
| MysteryMechanism (Vals AI) | 35.1% | Not measured | Only Claude Haiku 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) | 44.4% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 89.6% | 93.1% | Kimi K3 |
| ARC-AGI | 89.0% | 94.5% | Kimi K3 |
| ARC-AGI-2 | 61.3% | 60.4% | Claude Haiku 5.5 |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 55.0% | 37.0% | Claude Haiku 5.5 |
| Mystery game puzzles | 30.0% | 26.0% | Claude Haiku 5.5 |
| EBR-bench | 43.8% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: hard prompts | Not measured | 1495 | Only Kimi K3 measured |
| LMArena Text: expert | Not measured | 1520 | Only Kimi K3 measured |
| LMArena Text: hard prompts in English | Not measured | 1496 | Only Kimi K3 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Haiku 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 97.2% | Claude Haiku 5.5 |
| FrontierMath, tiers 1 to 3 | 75.1% | 72.2% | Claude Haiku 5.5 |
| FrontierMath, tier 4 | 46.3% | 39.0% | Claude Haiku 5.5 |
| ProofBench | 89.0% | 87.0% | Claude Haiku 5.5 |
| LMArena Text: math | Not measured | 1494 | Only Kimi K3 measured |
| LMArena Text: mathematical work | Not measured | 1505 | Only Kimi K3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Claude Haiku 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) | 51.5% | 49.4% | Claude Haiku 5.5 |
| SimpleQA Verified | 23.8% | 50.6% | Kimi K3 |
| LMArena Text: science | Not measured | 1508 | Only Kimi K3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1489 | Only Kimi K3 measured |
| LMArena Text: legal and government | Not measured | 1503 | Only Kimi K3 measured |
| LMArena Text: business and finance | Not measured | 1470 | Only Kimi K3 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | Claude Haiku 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1262 | 1334 | Kimi K3 |
| Design Arena: UI components | 1291 | 1341 | Kimi K3 |
| Design Arena: game dev | 1313 | 1358 | Kimi K3 |
| Design Arena: data viz | 1294 | 1351 | Kimi K3 |
| Design Arena: 3D | 1342 | 1387 | Kimi K3 |
| Design Arena: all code categories | 1278 | 1360 | Kimi K3 |
| Design Arena: SVG | Not measured | 1302 | Only Kimi K3 measured |
| LiveBench design | 83.1% | 77.2% | Claude Haiku 5.5 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index45
| Benchmark | Claude Haiku 5.5 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | 58.7% | 53.0% | Claude Haiku 5.5 |
| LiveBench data analysis | 53.1% | 78.7% | Kimi K3 |
| Public Benefits Bench (Vals AI) | 63.2% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 45.8% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 89.5% | 88.0% | Claude Haiku 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 | 95.0% | 91.2% | Claude Haiku 5.5 |
| LMCA | 51.1% | 52.7% | Kimi K3 |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | 47.5% | 34.2% | Claude Haiku 5.5 |
| LMArena Text | Not measured | 1476 | Only Kimi K3 measured |
| LMArena Text: instruction following | Not measured | 1485 | Only Kimi K3 measured |
| LMArena Text: creative writing | Not measured | 1457 | Only Kimi K3 measured |
| LMArena Text: English | Not measured | 1481 | Only Kimi K3 measured |
| LMArena Text: non-English | Not measured | 1466 | Only Kimi K3 measured |
| LMArena Text: Chinese | Not measured | 1529 | Only Kimi K3 measured |
| 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 | Not measured | 1492 | Only Kimi K3 measured |
| LMArena Text: Spanish | Not measured | 1472 | Only Kimi K3 measured |
| LMArena Text: Russian | Not measured | 1485 | Only Kimi K3 measured |
| LMArena Text: Polish | Not measured | 1458 | Only Kimi K3 measured |
| LMArena Text: multi-turn | Not measured | 1489 | Only Kimi K3 measured |
| LMArena Text: longer queries | Not measured | 1494 | Only Kimi K3 measured |
| LMArena Text: writing and language | Not measured | 1471 | Only Kimi K3 measured |
| LMArena Text: entertainment and media | Not measured | 1453 | Only Kimi K3 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 | Claude Haiku 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 Haiku 5.5 costs less
Repository review
50K input + 3K output tokens
Claude Haiku 5.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 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 Haiku 5.5 | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | Anthropic | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | October 7, 2026 | July 16, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $0.10 | $3.00 |
| Output $/Mtok | $0.50 | $15.00 |
| Coding index | 70.7 | 62.3 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 5.5 better than Kimi K3 for coding?
Pick Claude Haiku 5.5 for coding: it scores 70.7 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 LMArena WebDev or IOI (Vals AI), where it leads.
Which is cheaper, Claude Haiku 5.5 or Kimi K3?
Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 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 Haiku 5.5 or Kimi K3?
Kimi K3, with 1.05M tokens against 1M.
How many benchmarks is the Claude Haiku 5.5 vs Kimi K3 comparison based on?
58 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 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.