Claude Haiku 4.5 vs Kimi K3
Kimi K3 leads Claude Haiku 4.5 on coding, 62.3 to 35.6 on the Vibe Coding Index, and Claude Haiku 4.5 costs 3.0x less per output token ($5.00 vs $15.00 per million). Updated October 22, 2026; 81 benchmarks have a result for both.
Claude Haiku 4.5 or Kimi K3: which to pick
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5.
Pick Claude Haiku 4.5 for output tokens 3.0x cheaper ($5.00 vs $15.00 per million) and a lower cost per solved task ($0.56 against $0.81).
- Shared results
- 81
- Claude Haiku 4.5 only
- 14
- Kimi K3 only
- 36
- 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 35.6.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 16.9.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 8.0.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K3
Kimi K3 leads, 92.9% against 72.2%.
Same board, both measured
Math
AIME
No call
Only Claude Haiku 4.5 has a AIME result, 82.7%.
Directional only
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 78.7%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1334 against 1122.
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 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 4.5
Claude Haiku 4.5 $0.0035, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Haiku 4.5
Claude Haiku 4.5 $0.56, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 35.6 from 4 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Agentic work, 32.6 points apart on average over 9 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Claude Haiku 4.5 11.4% against Kimi K3 85.0%, 73.6 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against Kimi K3 $15.00 per million output tokens, 3.0x apart.
- Context window
- Claude Haiku 4.5 takes 200K 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 4.5 | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 14 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 8 | ||
| Reasoning | 0 | 10 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 11 | ||
| Web design | 0 | 8 | ||
| General | 0 | 24 | ||
| All shared boards | 1 | 80 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index014
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Multilingual | 64.7% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench coding | 48.1% | 59.3% | Kimi K3 |
| LMArena WebDev | 1330 | 1655 | Kimi K3 |
| AA Coding Index | 43.9 | 76.2 | Kimi K3 |
| LiveCodeBench (Vals AI) | 41.2% | 87.2% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 66.6% | 93.4% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 17.2% | Only Kimi K3 measured |
| Vibe Code Bench (Vals AI) | 11.4% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 7.5% | 16.1% | Kimi K3 |
| ProgramBench (Vals AI) | 0.0% | 2.0% | Kimi K3 |
| IOI (Vals AI) | Not measured | 48.9% | Only Kimi K3 measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | 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 |
| CyberBench (Vals AI) | Not measured | 75.2% | Only Kimi K3 measured |
| SciCode | Not measured | 59.5% | Only Kimi K3 measured |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| FrontierCode | Not measured | 44.2% | Only Kimi K3 measured |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | 45.4% | 82.6% | Kimi K3 |
| ALE-Bench | Not measured | 1524.5 | Only Kimi K3 measured |
| LMArena Text: coding | 1454 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1439 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1326 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1318 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | Not measured | 1579 | Only Kimi K3 measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | 142.2 | 157.9 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index18
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | 50.0 | Kimi K3 |
| 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 | 42.2% | 79.0% | Kimi K3 |
| LiveBench browser | 40.0% | 16.0% | Claude Haiku 4.5 |
| LiveBench long agentic | 11.1% | 42.8% | Kimi K3 |
| Finance Agent (Vals AI) | 31.0% | 53.1% | Kimi K3 |
| Tax Agent Bench (Vals AI) | 5.9% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 10.6% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 22.7% | 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 |
| APEX-Agents | Not measured | 47.8% | Only Kimi K3 measured |
| BALROG | 31.2% | Not measured | Only Claude Haiku 4.5 measured |
| DeepResearch Bench | 45.5% | Not measured | Only Claude Haiku 4.5 measured |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | $459 | $5,165 | Kimi K3 |
| Berkeley Function Calling Leaderboard (BFCL) | 68.7% | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | 92.9% | Kimi K3 |
| LiveBench reasoning | 61.7% | 90.7% | Kimi K3 |
| MMMU Pro (Vals AI) | 46.1% | 88.2% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 93.5% | Only Kimi K3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 46.9% | Only Kimi K3 measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 93.1% | Kimi K3 |
| ARC-AGI | 47.7% | 94.5% | Kimi K3 |
| ARC-AGI-2 | 4.0% | 60.4% | Kimi K3 |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 8.0% | 37.0% | Kimi K3 |
| Mystery game puzzles | Not measured | 26.0% | Only Kimi K3 measured |
| LMArena Text: hard prompts | 1421 | 1495 | Kimi K3 |
| LMArena Text: expert | 1443 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1435 | 1496 | Kimi K3 |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| AIME | 82.7% | Not measured | Only Claude Haiku 4.5 measured |
| MGSM (Vals AI) | 92.2% | Not measured | Only Claude Haiku 4.5 measured |
| OTIS Mock AIME | 66.7% | 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 | Not measured | 87.0% | Only Kimi K3 measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1430 | 1505 | Kimi K3 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 88.0% | Kimi K3 |
| LegalBench (Vals AI) | 81.2% | 86.2% | Kimi K3 |
| CaseLaw (Vals AI) | 56.5% | Not measured | Only Claude Haiku 4.5 measured |
| CorpFin (Vals AI) | 60.6% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 67.5% | 75.7% | Kimi K3 |
| MortgageTax (Vals AI) | 62.2% | 66.3% | Kimi K3 |
| MedQA (Vals AI) | 79.6% | Not measured | Only Claude Haiku 4.5 measured |
| MedCode (Vals AI) | 32.7% | 49.4% | Kimi K3 |
| SimpleQA Verified | 13.2% | 50.6% | Kimi K3 |
| LMArena Text: science | 1406 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1394 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1400 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1400 | 1470 | Kimi K3 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1334 | Kimi K3 |
| Design Arena: UI components | 1097 | 1341 | Kimi K3 |
| Design Arena: game dev | 1097 | 1358 | Kimi K3 |
| Design Arena: data viz | 1124 | 1351 | Kimi K3 |
| Design Arena: 3D | 1071 | 1387 | Kimi K3 |
| Design Arena: all code categories | 1114 | 1360 | Kimi K3 |
| Design Arena: SVG | 1025 | 1302 | Kimi K3 |
| Design Arena: ASCII art | 1140 | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench design | 59.9% | 77.2% | Kimi K3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index024
| Benchmark | Claude Haiku 4.5 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | 59.3% | 78.7% | Kimi K3 |
| Public Benefits Bench (Vals AI) | 54.3% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 31.8% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 85.2% | 88.0% | Kimi K3 |
| Vals Multimodal Index | 42.9% | 73.4% | Kimi K3 |
| Long context reasoning (AA-LCR) | Not measured | 88.7% | Only Kimi K3 measured |
| DTBench | 73.6% | 91.2% | Kimi K3 |
| LMCA | 30.9% | 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 | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1414 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1371 | 1457 | Kimi K3 |
| LMArena Text: English | 1414 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1377 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1418 | 1529 | Kimi K3 |
| LMArena Text: German | 1374 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1338 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1346 | 1460 | Kimi K3 |
| LMArena Text: French | 1411 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1421 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1381 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1343 | 1458 | Kimi K3 |
| LMArena Text: multi-turn | 1409 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1427 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1386 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1369 | 1453 | Kimi K3 |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | 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 4.5 costs less
Repository review
50K input + 3K output tokens
Claude Haiku 4.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 4.5 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 4.5 | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | Anthropic | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | October 15, 2025 | July 16, 2026 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $1.00 | $3.00 |
| Output $/Mtok | $5.00 | $15.00 |
| Coding index | 35.6 | 62.3 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | $0.56 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than Kimi K3 for coding?
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 35.6 for Claude Haiku 4.5. Pick Claude Haiku 4.5 for output tokens 3.0x cheaper ($5.00 vs $15.00 per million) and a lower cost per solved task ($0.56 against $0.81).
Which is cheaper, Claude Haiku 4.5 or Kimi K3?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Kimi K3 $0.81.
Which has the bigger context window, Claude Haiku 4.5 or Kimi K3?
Kimi K3, with 1.05M tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs Kimi K3 comparison based on?
81 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.