Kimi K3 vs Qwen3.6 Plus
Kimi K3 leads Qwen3.6 Plus on coding, 62.3 to 44.1 on the Vibe Coding Index, and Qwen3.6 Plus costs 7.7x less per output token ($1.95 vs $15.00 per million). Updated October 21, 2026; 76 benchmarks have a result for both.
Kimi K3 or Qwen3.6 Plus: which to pick
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus.
Pick Qwen3.6 Plus for output tokens 7.7x cheaper ($1.95 vs $15.00 per million) and work measured by MortgageTax (Vals AI), where it leads.
- Shared results
- 76
- Kimi K3 only
- 41
- Qwen3.6 Plus only
- 7
- 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 44.1.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 27.0.
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
Kimi K3
Kimi K3 leads, 92.9% against 87.4%.
Same board, both measured
Math
AIME
No call
Only Qwen3.6 Plus has a AIME result, 94.6%.
Directional only
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 87.7%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1335 against 1243.
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
Qwen3.6 Plus
Kimi K3 $0.011, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K3
Kimi K3 $0.81, Qwen3.6 Plus $1.19.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K3 62.3 from 6 benchmarks, Qwen3.6 Plus 44.1 from 3 benchmarks.
- Widest category
- Agentic work, 20.7 points apart on average over 5 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K3 85.0% against Qwen3.6 Plus 25.6%, 59.4 points apart on a 0 to 100 scale.
- Output price
- Kimi K3 $15.00 against Qwen3.6 Plus $1.95 per million output tokens, 7.7x apart.
- Context window
- Kimi K3 takes 1.05M tokens, Qwen3.6 Plus 1M.
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 | Kimi K3 | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 14 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 10 | 1 | ||
| Web design | 7 | 0 | ||
| General | 23 | 0 | ||
| All shared boards | 75 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index140
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| LiveBench coding | 59.3% | Not measured | Only Kimi K3 measured |
| LMArena WebDev | 1655 | 1461 | Kimi K3 |
| AA Coding Index | 76.2 | 54.5 | Kimi K3 |
| LiveCodeBench (Vals AI) | 87.2% | 86.0% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 93.4% | 73.4% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | 17.2% | Not measured | Only Kimi K3 measured |
| Vibe Code Bench (Vals AI) | 85.0% | 25.6% | Kimi K3 |
| Code migration (Vals AI) | 16.1% | 11.1% | Kimi K3 |
| ProgramBench (Vals AI) | 2.0% | 0.0% | Kimi K3 |
| IOI (Vals AI) | 48.9% | Not measured | Only Kimi K3 measured |
| Terminal-Bench 2.1 (Vals AI) | 80.9% | 53.2% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | 44.2% | Not measured | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.2% | Not measured | Only Kimi K3 measured |
| CyberBench (Vals AI) | 75.2% | Not measured | Only Kimi K3 measured |
| SciCode | 59.5% | Not measured | Only Kimi K3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.9% | Only Qwen3.6 Plus measured |
| FrontierCode | 44.2% | Not measured | Only Kimi K3 measured |
| FrontierSWE | 25.9% | Not measured | Only Kimi K3 measured |
| WeirdML | 82.6% | Not measured | Only Kimi K3 measured |
| ALE-Bench | 1524.5 | 670.1 | Kimi K3 |
| LMArena Text: coding | 1508 | 1467 | Kimi K3 |
| LMArena Text: software and IT | 1499 | 1462 | Kimi K3 |
| LMArena WebDev: React | 1670 | 1454 | Kimi K3 |
| LMArena WebDev: HTML | 1644 | 1463 | Kimi K3 |
| LMArena WebDev: from an image | 1579 | 1472 | Kimi K3 |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 43.6 | 27.0 | Kimi K3 |
| Epoch Capabilities Index | 157.9 | 147.3 | Kimi K3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 50.0 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building web apps | 1295 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building full-stack apps | 1315 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building mobile apps | 1269 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building Android apps | 1250 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building Godot games | 1223 | Not measured | Only Kimi K3 measured |
| Design Arena: agents building games | 1252 | Not measured | Only Kimi K3 measured |
| Design Arena: HTML slides | 1256 | Not measured | Only Kimi K3 measured |
| Design Arena: PowerPoint slides | 1273 | Not measured | Only Kimi K3 measured |
| Design Arena: spreadsheets | 1058 | Not measured | Only Kimi K3 measured |
| LiveBench research | 79.0% | Not measured | Only Kimi K3 measured |
| LiveBench browser | 16.0% | Not measured | Only Kimi K3 measured |
| LiveBench long agentic | 42.8% | Not measured | Only Kimi K3 measured |
| Finance Agent (Vals AI) | 53.1% | 40.9% | Kimi K3 |
| Tax Agent Bench (Vals AI) | 33.4% | 7.7% | Kimi K3 |
| Legal Research Bench (Vals AI) | 46.1% | 14.9% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.9% | Not measured | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 66.7% | 32.9% | Kimi K3 |
| BioMysteryBench (Vals AI) | 72.6% | Not measured | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Kimi K3 measured |
| Time Horizon Index (Vals AI) | 10.5% | Not measured | Only Kimi K3 measured |
| τ²-Bench Telecom | Not measured | 97.7% | Only Qwen3.6 Plus measured |
| APEX-Agents | 47.8% | Not measured | Only Kimi K3 measured |
| PostTrainBench | 32.0% | Not measured | Only Kimi K3 measured |
| Vending-Bench 2 | $5,165 | $5,115 | Kimi K3 |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | 87.4% | Kimi K3 |
| LiveBench reasoning | 90.7% | Not measured | Only Kimi K3 measured |
| MMMU Pro (Vals AI) | 88.2% | 84.2% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 93.5% | 88.2% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 46.9% | 27.8% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 93.1% | 88.4% | Kimi K3 |
| ARC-AGI | 94.5% | Not measured | Only Kimi K3 measured |
| ARC-AGI-2 | 60.4% | Not measured | Only Kimi K3 measured |
| SimpleBench | 60.7% | Not measured | Only Kimi K3 measured |
| Chess puzzles | 37.0% | 14.0% | Kimi K3 |
| Mystery game puzzles | 26.0% | 12.0% | Kimi K3 |
| LMArena Text: hard prompts | 1495 | 1448 | Kimi K3 |
| LMArena Text: expert | 1520 | 1454 | Kimi K3 |
| LMArena Text: hard prompts in English | 1496 | 1455 | Kimi K3 |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | Not measured | 94.6% | Only Qwen3.6 Plus measured |
| OTIS Mock AIME | 97.2% | 93.3% | Kimi K3 |
| FrontierMath, tiers 1 to 3 | 72.2% | 38.2% | Kimi K3 |
| FrontierMath, tier 4 | 39.0% | Not measured | Only Kimi K3 measured |
| ProofBench | 87.0% | Not measured | Only Kimi K3 measured |
| LMArena Text: math | 1494 | 1449 | Kimi K3 |
| LMArena Text: mathematical work | 1505 | 1448 | Kimi K3 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index101
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 88.0% | 87.7% | Kimi K3 |
| LegalBench (Vals AI) | 86.2% | 84.2% | Kimi K3 |
| CaseLaw (Vals AI) | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| CorpFin (Vals AI) | 71.6% | 61.9% | Kimi K3 |
| TaxEval (Vals AI) | 75.7% | 74.7% | Kimi K3 |
| MortgageTax (Vals AI) | 66.3% | 68.0% | Qwen3.6 Plus |
| MedCode (Vals AI) | 49.4% | 36.9% | Kimi K3 |
| SimpleQA Verified | 50.6% | 44.1% | Kimi K3 |
| LMArena Text: science | 1508 | 1439 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1489 | 1442 | Kimi K3 |
| LMArena Text: legal and government | 1503 | 1437 | Kimi K3 |
| LMArena Text: business and finance | 1470 | 1430 | Kimi K3 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1335 | 1243 | Kimi K3 |
| Design Arena: UI components | 1344 | 1233 | Kimi K3 |
| Design Arena: game dev | 1359 | 1211 | Kimi K3 |
| Design Arena: data viz | 1351 | 1228 | Kimi K3 |
| Design Arena: 3D | 1388 | 1202 | Kimi K3 |
| Design Arena: all code categories | 1360 | 1236 | Kimi K3 |
| Design Arena: SVG | 1302 | 1161 | Kimi K3 |
| Design Arena: ASCII art | Not measured | 1113 | Only Qwen3.6 Plus measured |
| LiveBench design | 77.2% | Not measured | Only Kimi K3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
| Benchmark | Kimi K3 | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only Kimi K3 measured |
| LiveBench data analysis | 78.7% | Not measured | Only Kimi K3 measured |
| Public Benefits Bench (Vals AI) | 68.2% | Not measured | Only Kimi K3 measured |
| SAGE (Vals AI) | 52.8% | 44.9% | Kimi K3 |
| MedScribe (Vals AI) | 88.0% | 77.0% | Kimi K3 |
| Vals Multimodal Index | 73.4% | 51.5% | Kimi K3 |
| IFBench | Not measured | 75.2% | Only Qwen3.6 Plus measured |
| Long context reasoning (AA-LCR) | 88.7% | 78.3% | Kimi K3 |
| DTBench | 91.2% | 81.9% | Kimi K3 |
| LMCA | 52.7% | 33.1% | Kimi K3 |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| Surface Evolver Bench | 95.0% | Not measured | Only Kimi K3 measured |
| Furniture assembly | 34.2% | Not measured | Only Kimi K3 measured |
| LMArena Text | 1476 | 1436 | Kimi K3 |
| LMArena Text: instruction following | 1485 | 1424 | Kimi K3 |
| LMArena Text: creative writing | 1457 | 1404 | Kimi K3 |
| LMArena Text: English | 1481 | 1445 | Kimi K3 |
| LMArena Text: non-English | 1466 | 1424 | Kimi K3 |
| LMArena Text: Chinese | 1529 | 1477 | Kimi K3 |
| LMArena Text: German | 1490 | 1451 | Kimi K3 |
| LMArena Text: Japanese | 1494 | 1390 | Kimi K3 |
| LMArena Text: Korean | 1460 | 1379 | Kimi K3 |
| LMArena Text: French | 1492 | 1455 | Kimi K3 |
| LMArena Text: Spanish | 1472 | 1432 | Kimi K3 |
| LMArena Text: Russian | 1485 | 1434 | Kimi K3 |
| LMArena Text: Polish | 1458 | 1433 | Kimi K3 |
| LMArena Text: multi-turn | 1489 | 1438 | Kimi K3 |
| LMArena Text: longer queries | 1494 | 1439 | Kimi K3 |
| LMArena Text: writing and language | 1471 | 1418 | Kimi K3 |
| LMArena Text: entertainment and media | 1453 | 1402 | Kimi K3 |
| 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 | Kimi K3 | Qwen3.6 Plus | 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
Qwen3.6 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.6 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 Plus 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 | MoonshotAI Kimi K3 | Qwen3.6 Plus |
|---|---|---|
| Maker | Moonshot AI | Qwen |
| Weights | Open weights | No public weights listed |
| Released | July 16, 2026 | April 2, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $3.00 | $0.325 |
| Output $/Mtok | $15.00 | $1.95 |
| Coding index | 62.3 | 44.1 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $0.81 | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K3 better than Qwen3.6 Plus for coding?
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus. Pick Qwen3.6 Plus for output tokens 7.7x cheaper ($1.95 vs $15.00 per million) and work measured by MortgageTax (Vals AI), where it leads.
Which is cheaper, Kimi K3 or Qwen3.6 Plus?
Kimi K3 costs $3.00 per million input tokens and $15.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Kimi K3 costs $0.81 and Qwen3.6 Plus $1.19.
Which has the bigger context window, Kimi K3 or Qwen3.6 Plus?
Kimi K3, with 1.05M tokens against 1M.
How many benchmarks is the Kimi K3 vs Qwen3.6 Plus comparison based on?
76 benchmarks have a result for both models as of October 21, 2026. Kimi K3's coding index rests on 6 independent benchmarks and Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.