Kimi K2.6 vs Qwen3.8 27B
Updated October 21, 2026. 70 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 44.2 for Kimi K2.6.
Pick Kimi K2.6 when a solved task costs $0.35 against $1.26, or when what matters is LiveCodeBench (Vals AI) or Code migration (Vals AI), where it leads.
- Shared results
- 70
- Kimi K2.6 only
- 39
- Qwen3.8 27B only
- 15
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Qwen3.8 27B
Qwen3.8 27B scores 73.6 against 44.2.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.8 27B
Qwen3.8 27B leads, 33.7 against 27.0.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.8 27B
Qwen3.8 27B leads, 45.8 against 20.5.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K2.6
Kimi K2.6 leads, 89.1% against 88.9%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2.6
Kimi K2.6 leads, 87.6% against 84.3%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K2.6 has a Design Arena: websites result, 1269.
Directional only
Long documents
Listed context window
Qwen3.8 27B
Qwen3.8 27B takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 27B
Kimi K2.6 $0.0024, Qwen3.8 27B $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.6
Kimi K2.6 $0.35, Qwen3.8 27B $1.26.
Published attempt cost and pass rate
At a glance
- Coding index
- Kimi K2.6 44.2 from 1 benchmark, Qwen3.8 27B 73.6 from 2 benchmarks.
- Widest category
- Agentic work, 13.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Kimi K2.6 37.9% against Qwen3.8 27B 64.8%, 27.0 points apart on a 0 to 100 scale.
- Output price
- Kimi K2.6 $3.41 against Qwen3.8 27B $1.35 per million output tokens, 2.5x apart.
- Context window
- Kimi K2.6 takes 262K tokens, Qwen3.8 27B 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 K2.6 | Bars | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 5 | 8 | 1 tie | |
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 9 | 0 | ||
| Math | 2 | 0 | 1 tie | |
| Knowledge | 9 | 0 | ||
| General | 23 | 5 | ||
| All shared boards | 48 | 20 | 2 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index58
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 86.8% | Only Qwen3.8 27B measured |
| LMArena WebDev | 1509 | 1593 | Qwen3.8 27B |
| AA Coding Index | 61.8 | 68.1 | Qwen3.8 27B |
| LiveCodeBench (Vals AI) | 86.8% | 84.0% | Kimi K2.6 |
| SWE-bench Verified (Vals AI) | 76.2% | 86.0% | Qwen3.8 27B |
| Vibe Code Bench (Vals AI) | 37.9% | 64.8% | Qwen3.8 27B |
| Code migration (Vals AI) | 27.8% | 14.2% | Kimi K2.6 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | Not measured | 39.1% | Only Qwen3.8 27B measured |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | 58.4% | Qwen3.8 27B |
| SkillsBench (Vals AI) | Not measured | 38.1% | Only Qwen3.8 27B measured |
| CyberBench (Vals AI) | Not measured | 67.8% | Only Qwen3.8 27B measured |
| SciCode | 51.5% | 46.6% | Kimi K2.6 |
| Terminal-Bench Hard (Artificial Analysis run) | 43.9% | Not measured | Only Kimi K2.6 measured |
| WeirdML | 55.9% | Not measured | Only Kimi K2.6 measured |
| ALE-Bench | 1092.7 | Not measured | Only Kimi K2.6 measured |
| LMArena Text: coding | 1489 | 1483 | Kimi K2.6 |
| LMArena Text: software and IT | 1484 | 1478 | Kimi K2.6 |
| LMArena WebDev: React | 1505 | 1602 | Qwen3.8 27B |
| LMArena WebDev: HTML | 1485 | 1570 | Qwen3.8 27B |
| LMArena WebDev: from an image | 1521 | 1577 | Qwen3.8 27B |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 27.0 | 33.7 | Qwen3.8 27B |
| Epoch Capabilities Index | 150.9 | 151.7 | Qwen3.8 27B |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 20.5 | 45.8 | Qwen3.8 27B |
| Design Arena: agents building web apps | 1268 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building full-stack apps | 1155 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building mobile apps | 1156 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Android apps | 1166 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building Godot games | 1120 | Not measured | Only Kimi K2.6 measured |
| Design Arena: agents building games | 1141 | Not measured | Only Kimi K2.6 measured |
| Design Arena: HTML slides | 1184 | Not measured | Only Kimi K2.6 measured |
| Design Arena: PowerPoint slides | 1128 | Not measured | Only Kimi K2.6 measured |
| Design Arena: spreadsheets | 1276 | Not measured | Only Kimi K2.6 measured |
| LiveBench research | Not measured | 59.4% | Only Qwen3.8 27B measured |
| LiveBench browser | Not measured | 32.0% | Only Qwen3.8 27B measured |
| LiveBench long agentic | Not measured | 27.9% | Only Qwen3.8 27B measured |
| Finance Agent (Vals AI) | 44.9% | 48.5% | Qwen3.8 27B |
| Tax Agent Bench (Vals AI) | 12.4% | 30.9% | Qwen3.8 27B |
| Legal Research Bench (Vals AI) | 15.9% | 36.1% | Qwen3.8 27B |
| Excel Modeling Benchmark (Vals AI) | 57.9% | 59.7% | Qwen3.8 27B |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only Qwen3.8 27B measured |
| τ²-Bench Telecom | 95.9% | Not measured | Only Kimi K2.6 measured |
| APEX-Agents | Not measured | 47.5% | Only Qwen3.8 27B measured |
| OSWorld 2.0 | 4.6% | Not measured | Only Kimi K2.6 measured |
| Vending-Bench 2 | $6,205 | Not measured | Only Kimi K2.6 measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | 89.1% | 88.9% | Kimi K2.6 |
| LiveBench reasoning | Not measured | 80.0% | Only Qwen3.8 27B measured |
| MMMU Pro (Vals AI) | 86.3% | 83.9% | Kimi K2.6 |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 90.5% | Kimi K2.6 |
| Humanity's Last Exam (Artificial Analysis run) | 37.5% | 33.9% | Kimi K2.6 |
| GPQA Diamond (Epoch AI run) | 90.8% | Not measured | Only Kimi K2.6 measured |
| ARC-AGI | Not measured | 87.5% | Only Qwen3.8 27B measured |
| ARC-AGI-2 | Not measured | 42.4% | Only Qwen3.8 27B measured |
| Chess puzzles | 20.0% | Not measured | Only Kimi K2.6 measured |
| Mystery game puzzles | 18.0% | Not measured | Only Kimi K2.6 measured |
| EBR-bench | 2.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1470 | 1459 | Kimi K2.6 |
| LMArena Text: expert | 1491 | 1479 | Kimi K2.6 |
| LMArena Text: hard prompts in English | 1471 | 1461 | Kimi K2.6 |
| LMArena Vision: diagrams | 1298 | 1285 | Kimi K2.6 |
| LMArena Vision: homework | 1310 | 1295 | Kimi K2.6 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.1% | Not measured | Only Kimi K2.6 measured |
| FrontierMath, tiers 1 to 3 | 57.2% | Not measured | Only Kimi K2.6 measured |
| FrontierMath, tier 4 | 25.6% | Not measured | Only Kimi K2.6 measured |
| ProofBench | 16.0% | 16.0% | Tie |
| LMArena Text: math | 1474 | 1455 | Kimi K2.6 |
| LMArena Text: mathematical work | 1480 | 1458 | Kimi K2.6 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | 87.6% | 84.3% | Kimi K2.6 |
| LegalBench (Vals AI) | 84.7% | 82.4% | Kimi K2.6 |
| CaseLaw (Vals AI) | 61.2% | Not measured | Only Kimi K2.6 measured |
| CorpFin (Vals AI) | 66.7% | Not measured | Only Kimi K2.6 measured |
| TaxEval (Vals AI) | 74.7% | 70.8% | Kimi K2.6 |
| MortgageTax (Vals AI) | 65.8% | 64.9% | Kimi K2.6 |
| MedCode (Vals AI) | 40.1% | 28.7% | Kimi K2.6 |
| SimpleQA Verified | 34.9% | Not measured | Only Kimi K2.6 measured |
| LMArena Text: science | 1468 | 1467 | Kimi K2.6 |
| LMArena Text: medicine and healthcare | 1457 | 1437 | Kimi K2.6 |
| LMArena Text: legal and government | 1462 | 1447 | Kimi K2.6 |
| LMArena Text: business and finance | 1445 | 1438 | Kimi K2.6 |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1269 | Not measured | Only Kimi K2.6 measured |
| Design Arena: UI components | 1266 | Not measured | Only Kimi K2.6 measured |
| Design Arena: game dev | 1251 | Not measured | Only Kimi K2.6 measured |
| Design Arena: data viz | 1249 | Not measured | Only Kimi K2.6 measured |
| Design Arena: 3D | 1268 | Not measured | Only Kimi K2.6 measured |
| Design Arena: all code categories | 1272 | Not measured | Only Kimi K2.6 measured |
| Design Arena: SVG | 1181 | Not measured | Only Kimi K2.6 measured |
| Design Arena: ASCII art | 1164 | Not measured | Only Kimi K2.6 measured |
| LiveBench design | Not measured | 75.9% | Only Qwen3.8 27B measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index235
| Benchmark | Kimi K2.6 | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.6% | Only Qwen3.8 27B measured |
| Public Benefits Bench (Vals AI) | 56.6% | Not measured | Only Kimi K2.6 measured |
| SAGE (Vals AI) | 50.2% | 52.4% | Qwen3.8 27B |
| MedScribe (Vals AI) | 78.2% | 83.8% | Qwen3.8 27B |
| Vals Multimodal Index | 56.4% | Not measured | Only Kimi K2.6 measured |
| IFBench | 76.0% | Not measured | Only Kimi K2.6 measured |
| Long context reasoning (AA-LCR) | 81.0% | 82.0% | Qwen3.8 27B |
| DTBench | 90.9% | 88.0% | Kimi K2.6 |
| LMCA | 37.3% | 41.4% | Qwen3.8 27B |
| Surface Evolver Bench | Not measured | 45.0% | Only Qwen3.8 27B measured |
| Furniture assembly | 21.7% | Not measured | Only Kimi K2.6 measured |
| ExploitBench | 18.4% | Not measured | Only Kimi K2.6 measured |
| LMArena Text | 1455 | 1440 | Kimi K2.6 |
| LMArena Text: instruction following | 1451 | 1436 | Kimi K2.6 |
| LMArena Text: creative writing | 1434 | 1383 | Kimi K2.6 |
| LMArena Vision | 1282 | 1269 | Kimi K2.6 |
| LMArena Text: English | 1460 | 1448 | Kimi K2.6 |
| LMArena Text: non-English | 1446 | 1428 | Kimi K2.6 |
| LMArena Text: Chinese | 1520 | 1501 | Kimi K2.6 |
| LMArena Text: German | 1451 | 1443 | Kimi K2.6 |
| LMArena Text: Japanese | 1443 | 1387 | Kimi K2.6 |
| LMArena Text: Korean | 1427 | 1384 | Kimi K2.6 |
| LMArena Text: French | 1471 | 1465 | Kimi K2.6 |
| LMArena Text: Spanish | 1464 | 1449 | Kimi K2.6 |
| LMArena Text: Russian | 1446 | 1415 | Kimi K2.6 |
| LMArena Text: Polish | 1438 | 1439 | Qwen3.8 27B |
| LMArena Text: multi-turn | 1453 | 1440 | Kimi K2.6 |
| LMArena Text: longer queries | 1468 | 1448 | Kimi K2.6 |
| LMArena Text: writing and language | 1439 | 1405 | Kimi K2.6 |
| LMArena Text: entertainment and media | 1428 | 1393 | Kimi K2.6 |
| LMArena Vision: English | 1287 | 1267 | Kimi K2.6 |
| LMArena Vision: Chinese | 1346 | 1326 | Kimi K2.6 |
| LMArena Vision: reading text | 1291 | 1281 | Kimi K2.6 |
| LMArena Vision: humor | 1280 | 1235 | Kimi K2.6 |
| LMArena Vision: creative writing | 1273 | 1237 | Kimi K2.6 |
| LMArena Document | 1451 | Not measured | Only Kimi K2.6 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 | Kimi K2.6 | Qwen3.8 27B | 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
Qwen3.8 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 27B 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 K2.6 | Qwen3.8 27B |
|---|---|---|
| Maker | Moonshot AI | Qwen |
| Weights | Open weights | Open weights |
| Released | April 20, 2026 | August 14, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.65 | $0.04 |
| Output $/Mtok | $3.41 | $1.35 |
| Coding index | 44.2 | 73.6 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.35 | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2.6 better than Qwen3.8 27B for coding?
Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 44.2 for Kimi K2.6. Pick Kimi K2.6 when a solved task costs $0.35 against $1.26, or when what matters is LiveCodeBench (Vals AI) or Code migration (Vals AI), where it leads.
Which is cheaper, Kimi K2.6 or Qwen3.8 27B?
Kimi K2.6 costs $0.65 per million input tokens and $3.41 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Per solved SWE-bench Verified task, Kimi K2.6 costs $0.35 and Qwen3.8 27B $1.26.
Which has the bigger context window, Kimi K2.6 or Qwen3.8 27B?
Qwen3.8 27B, with 1M tokens against 262K.
How many benchmarks is the Kimi K2.6 vs Qwen3.8 27B comparison based on?
70 benchmarks have a result for both models as of October 21, 2026. Kimi K2.6's coding index rests on 1 independent benchmark and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.