Claude Fable 5 vs Kimi K3
Claude Fable 5 leads Kimi K3 on coding, 79.3 to 62.3 on the Vibe Coding Index, and Kimi K3 costs 3.3x less per output token ($15.00 vs $50.00 per million). Updated October 21, 2026; 108 benchmarks have a result for both.
Claude Fable 5 or Kimi K3: which to pick
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 62.3 for Kimi K3.
Pick Kimi K3 for output tokens 3.3x cheaper ($15.00 vs $50.00 per million) and a lower cost per solved task ($0.81 against $2.16).
- Shared results
- 108
- Claude Fable 5 only
- 19
- Kimi K3 only
- 9
- 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 Fable 5
Claude Fable 5 scores 79.3 against 62.3.
6 benchmarks behind each score
Intelligence
AA Intelligence Index
Claude Fable 5
Claude Fable 5 leads, 49.6 against 43.6.
Same board, both measured
Agentic work
AA Agentic Index
Claude Fable 5
Claude Fable 5 leads, 50.7 against 50.0.
Same board, both measured
Reasoning
GPQA Diamond
Claude Fable 5
Claude Fable 5 leads, 93.2% against 92.9%.
Same board, both measured
Knowledge
MMLU Pro
Claude Fable 5
Claude Fable 5 leads, 91.5% against 88.0%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1335 against 1296.
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 Fable 5 $0.035, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K3
Claude Fable 5 $2.16, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Fable 5 79.3 from 6 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Math, 13.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- LiveBench browser: Claude Fable 5 92.0% against Kimi K3 16.0%, 76.0 points apart on a 0 to 100 scale.
- Output price
- Claude Fable 5 $50.00 against Kimi K3 $15.00 per million output tokens, 3.3x apart.
- Context window
- Claude Fable 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 Fable 5 | Bars | Kimi K3 | Ties |
|---|---|---|---|---|
| Coding | 16 | 3 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 17 | 3 | ||
| Reasoning | 11 | 3 | ||
| Math | 6 | 0 | ||
| Knowledge | 8 | 3 | ||
| Web design | 1 | 6 | 1 tie | |
| General | 23 | 3 | 1 tie | |
| All shared boards | 84 | 21 | 3 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index163
| Benchmark | Claude Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | 98.3% | 59.3% | Claude Fable 5 |
| LMArena WebDev | 1624 | 1655 | Kimi K3 |
| AA Coding Index | 76.5 | 76.2 | Claude Fable 5 |
| LiveCodeBench (Vals AI) | 89.8% | 87.2% | Claude Fable 5 |
| SWE-bench Verified (Vals AI) | 95.0% | 93.4% | Claude Fable 5 |
| Terminal-Bench 4 (Vals AI) | 41.4% | 17.2% | Claude Fable 5 |
| Vibe Code Bench (Vals AI) | 90.3% | 85.0% | Claude Fable 5 |
| Code migration (Vals AI) | 55.1% | 16.1% | Claude Fable 5 |
| ProgramBench (Vals AI) | 2.0% | 2.0% | Tie |
| IOI (Vals AI) | Not measured | 48.9% | Only Kimi K3 measured |
| Terminal-Bench 2.1 (Vals AI) | 80.5% | 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 | 61.0% | 59.5% | Claude Fable 5 |
| Terminal-Bench Hard (Artificial Analysis run) | 62.9% | Not measured | Only Claude Fable 5 measured |
| FrontierCode | 53.5% | 44.2% | Claude Fable 5 |
| FrontierSWE | 47.0% | 25.9% | Claude Fable 5 |
| GSO-Bench | 78.4% | Not measured | Only Claude Fable 5 measured |
| WeirdML | 91.9% | 82.6% | Claude Fable 5 |
| MirrorCode | 63.9% | Not measured | Only Claude Fable 5 measured |
| ALE-Bench | 2041.3 | 1524.5 | Claude Fable 5 |
| LMArena Text: coding | 1518 | 1508 | Claude Fable 5 |
| LMArena Text: software and IT | 1513 | 1499 | Claude Fable 5 |
| LMArena WebDev: React | 1631 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1651 | 1644 | Claude Fable 5 |
| LMArena WebDev: from an image | 1623 | 1579 | Claude Fable 5 |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 49.6 | 43.6 | Claude Fable 5 |
| Epoch Capabilities Index | 163.4 | 157.9 | Claude Fable 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index173
| Benchmark | Claude Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 50.7 | 50.0 | Claude Fable 5 |
| Design Arena: agents building web apps | 1261 | 1295 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1280 | 1315 | Kimi K3 |
| Design Arena: agents building mobile apps | 1264 | 1269 | Kimi K3 |
| Design Arena: agents building Android apps | 1283 | 1250 | Claude Fable 5 |
| Design Arena: agents building Godot games | 1292 | 1223 | Claude Fable 5 |
| Design Arena: agents building games | 1285 | 1252 | Claude Fable 5 |
| Design Arena: HTML slides | 1277 | 1256 | Claude Fable 5 |
| Design Arena: PowerPoint slides | 1295 | 1273 | Claude Fable 5 |
| Design Arena: spreadsheets | Not measured | 1058 | Only Kimi K3 measured |
| LiveBench research | 86.9% | 79.0% | Claude Fable 5 |
| LiveBench browser | 92.0% | 16.0% | Claude Fable 5 |
| LiveBench long agentic | 53.2% | 42.8% | Claude Fable 5 |
| Finance Agent (Vals AI) | 56.3% | 53.1% | Claude Fable 5 |
| Tax Agent Bench (Vals AI) | 38.3% | 33.4% | Claude Fable 5 |
| Legal Research Bench (Vals AI) | 49.5% | 46.1% | Claude Fable 5 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 73.7% | 66.7% | Claude Fable 5 |
| BioMysteryBench (Vals AI) | Not measured | 72.6% | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | 15.7% | 1.4% | Claude Fable 5 |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| τ²-Bench Telecom | 98.5% | Not measured | Only Claude Fable 5 measured |
| APEX-Agents | 63.6% | 47.8% | Claude Fable 5 |
| Remote Labor Index | 16.1% | Not measured | Only Claude Fable 5 measured |
| PostTrainBench | 41.8% | 32.0% | Claude Fable 5 |
| Vending-Bench 2 | $5,680 | $5,165 | Claude Fable 5 |
| LMArena Search | 1229 | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index113
| Benchmark | Claude Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.2% | 92.9% | Claude Fable 5 |
| LiveBench reasoning | 89.7% | 90.7% | Kimi K3 |
| MMMU Pro (Vals AI) | 89.3% | 88.2% | Claude Fable 5 |
| GPQA Diamond (Artificial Analysis run) | 92.6% | 93.5% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 55.5% | 46.9% | Claude Fable 5 |
| GPQA Diamond (Epoch AI run) | 85.9% | 93.1% | Kimi K3 |
| ARC-AGI | 98.5% | 94.5% | Claude Fable 5 |
| ARC-AGI-2 | 89.2% | 60.4% | Claude Fable 5 |
| SimpleBench | 81.9% | 60.7% | Claude Fable 5 |
| Chess puzzles | 47.0% | 37.0% | Claude Fable 5 |
| Mystery game puzzles | 52.0% | 26.0% | Claude Fable 5 |
| EBR-bench | 39.5% | Not measured | Only Claude Fable 5 measured |
| LMArena Text: hard prompts | 1507 | 1495 | Claude Fable 5 |
| LMArena Text: expert | 1534 | 1520 | Claude Fable 5 |
| LMArena Text: hard prompts in English | 1509 | 1496 | Claude Fable 5 |
| LMArena Vision: diagrams | 1357 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: homework | 1361 | Not measured | Only Claude Fable 5 measured |
| Kagi LLM Benchmark | 91.4% | Not measured | Only Claude Fable 5 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 97.2% | Claude Fable 5 |
| FrontierMath, tiers 1 to 3 | 87.0% | 72.2% | Claude Fable 5 |
| FrontierMath, tier 4 | 90.2% | 39.0% | Claude Fable 5 |
| ProofBench | 95.0% | 87.0% | Claude Fable 5 |
| LMArena Text: math | 1516 | 1494 | Claude Fable 5 |
| LMArena Text: mathematical work | 1515 | 1505 | Claude Fable 5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
| Benchmark | Claude Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 91.5% | 88.0% | Claude Fable 5 |
| LegalBench (Vals AI) | 88.6% | 86.2% | Claude Fable 5 |
| CorpFin (Vals AI) | 71.8% | 71.6% | Claude Fable 5 |
| TaxEval (Vals AI) | 76.9% | 75.7% | Claude Fable 5 |
| MortgageTax (Vals AI) | 68.9% | 66.3% | Claude Fable 5 |
| MedCode (Vals AI) | 56.1% | 49.4% | Claude Fable 5 |
| SimpleQA Verified | 70.7% | 50.6% | Claude Fable 5 |
| LMArena Text: science | 1506 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1480 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1498 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1480 | 1470 | Claude Fable 5 |
| 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 Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1296 | 1335 | Kimi K3 |
| Design Arena: UI components | 1319 | 1344 | Kimi K3 |
| Design Arena: game dev | 1335 | 1359 | Kimi K3 |
| Design Arena: data viz | 1304 | 1351 | Kimi K3 |
| Design Arena: 3D | 1319 | 1388 | Kimi K3 |
| Design Arena: all code categories | 1310 | 1360 | Kimi K3 |
| Design Arena: SVG | 1302 | 1302 | Tie |
| Design Arena: ASCII art | 1329 | Not measured | Only Claude Fable 5 measured |
| LiveBench design | 84.7% | 77.2% | Claude Fable 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index233
| Benchmark | Claude Fable 5 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | 80.5% | 78.7% | Claude Fable 5 |
| Public Benefits Bench (Vals AI) | 70.4% | 68.2% | Claude Fable 5 |
| SAGE (Vals AI) | 51.9% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 88.5% | 88.0% | Claude Fable 5 |
| Vals Multimodal Index | 74.2% | 73.4% | Claude Fable 5 |
| IFBench | 63.5% | Not measured | Only Claude Fable 5 measured |
| Long context reasoning (AA-LCR) | 82.3% | 88.7% | Kimi K3 |
| DTBench | 98.4% | 91.2% | Claude Fable 5 |
| LMCA | 61.2% | 52.7% | Claude Fable 5 |
| Surface Evolver Bench | 95.0% | 95.0% | Tie |
| Furniture assembly | 35.8% | 34.2% | Claude Fable 5 |
| LMArena Text | 1491 | 1476 | Claude Fable 5 |
| LMArena Text: instruction following | 1502 | 1485 | Claude Fable 5 |
| LMArena Text: creative writing | 1494 | 1457 | Claude Fable 5 |
| LMArena Vision | 1325 | Not measured | Only Claude Fable 5 measured |
| LMArena Text: English | 1498 | 1481 | Claude Fable 5 |
| LMArena Text: non-English | 1482 | 1466 | Claude Fable 5 |
| LMArena Text: Chinese | 1543 | 1529 | Claude Fable 5 |
| LMArena Text: German | 1486 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1504 | 1494 | Claude Fable 5 |
| LMArena Text: Korean | 1487 | 1460 | Claude Fable 5 |
| LMArena Text: French | 1505 | 1492 | Claude Fable 5 |
| LMArena Text: Spanish | 1498 | 1472 | Claude Fable 5 |
| LMArena Text: Russian | 1503 | 1485 | Claude Fable 5 |
| LMArena Text: Polish | 1494 | 1458 | Claude Fable 5 |
| LMArena Text: multi-turn | 1504 | 1489 | Claude Fable 5 |
| LMArena Text: longer queries | 1510 | 1494 | Claude Fable 5 |
| LMArena Text: writing and language | 1501 | 1471 | Claude Fable 5 |
| LMArena Text: entertainment and media | 1482 | 1453 | Claude Fable 5 |
| LMArena Vision: English | 1323 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: Chinese | 1373 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: reading text | 1337 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: humor | 1341 | Not measured | Only Claude Fable 5 measured |
| LMArena Vision: creative writing | 1338 | Not measured | Only Claude Fable 5 measured |
| LMArena Document | 1496 | Not measured | Only Claude Fable 5 measured |
| 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 Fable 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
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 Fable 5 | MoonshotAI Kimi K3 |
|---|---|---|
| Maker | Anthropic | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | June 9, 2026 | July 16, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $10.00 | $3.00 |
| Output $/Mtok | $50.00 | $15.00 |
| Coding index | 79.3 | 62.3 |
| Independent measurements behind it | 6 | 6 |
| Cost per solved task | $2.16 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Fable 5 better than Kimi K3 for coding?
Pick Claude Fable 5 for coding: it scores 79.3 on the Vibe Coding Index against 62.3 for Kimi K3. Pick Kimi K3 for output tokens 3.3x cheaper ($15.00 vs $50.00 per million) and a lower cost per solved task ($0.81 against $2.16).
Which is cheaper, Claude Fable 5 or Kimi K3?
Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, Claude Fable 5 costs $2.16 and Kimi K3 $0.81.
Which has the bigger context window, Claude Fable 5 or Kimi K3?
Kimi K3, with 1.05M tokens against 1M.
How many benchmarks is the Claude Fable 5 vs Kimi K3 comparison based on?
108 benchmarks have a result for both models as of October 21, 2026. Claude Fable 5's coding index rests on 6 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.