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Kimi K2.5 vs Qwen3.6 27B

Kimi K2.5 leads Qwen3.6 27B on coding, 38.6 to 36.8 on the Vibe Coding Index, at about the same output price ($2.85 vs $2.70 per million). Updated October 22, 2026; 16 benchmarks have a result for both.

Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
12
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
2
vs boards won of 16 shared, 2 tied

Kimi K2.5 or Qwen3.6 27B: which to pick

Kimi K2.5 and Qwen3.6 27B are level for coding, 38.6 against 36.8 on the Vibe Coding Index, so price and context decide.

Pick Qwen3.6 27B for output tokens 1.1x cheaper ($2.70 vs $2.85 per million) and work measured by AA Coding Index or MortgageTax (Vals AI), where it leads. Pick Kimi K2.5 for a lower cost per solved task ($0.24 against $1.30) and work measured by Vibe Code Bench (Vals AI) or AA Intelligence Index, where it leads.

Shared results
16
Kimi K2.5 only
83
Qwen3.6 27B only
8
Like-for-like categories
6 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.

At a glance

Coding index
Kimi K2.5 38.6 from 3 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Reasoning, 5.7 points apart on average over 2 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Kimi K2.5 30.7% against Qwen3.6 27B 23.1%, 7.6 points apart on a 0 to 100 scale.
Output price
Kimi K2.5 $2.85 against Qwen3.6 27B $2.70 per million output tokens, 1.1x apart.
Context window
Both take 262K tokens.

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.

Boards won, where both have a result
CategoryKimi K2.5BarsQwen3.6 27BTies
Coding112 ties
Intelligence20
Agentic work10
Reasoning20
Knowledge31
General30
All shared boards1222 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
SWE-bench Verified70.8%Not measuredOnly Kimi K2.5 measured
SWE-bench Multilingual67.3%Not measuredOnly Kimi K2.5 measured
LMArena WebDev1437Not measuredOnly Kimi K2.5 measured
AA Coding Index46.853.7Qwen3.6 27B
LiveCodeBench (Vals AI)83.9%Not measuredOnly Kimi K2.5 measured
SWE-bench Verified (Vals AI)70.0%70.0%Tie
Vibe Code Bench (Vals AI)17.5%11.9%Kimi K2.5
Code migration (Vals AI)7.0%Not measuredOnly Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)42.0%Not measuredOnly Kimi K2.5 measured
SciCodeNot measured42.8%Only Qwen3.6 27B measured
Terminal-Bench Hard (Artificial Analysis run)34.8%34.8%Tie
Terminal-Bench43.2%Not measuredOnly Kimi K2.5 measured
WeirdML45.6%Not measuredOnly Kimi K2.5 measured
ALE-Bench821.6Not measuredOnly Kimi K2.5 measured
LMArena Text: coding1483Not measuredOnly Kimi K2.5 measured
LMArena Text: software and IT1471Not measuredOnly Kimi K2.5 measured
LMArena WebDev: React1429Not measuredOnly Kimi K2.5 measured
LMArena WebDev: HTML1426Not measuredOnly Kimi K2.5 measured
LMArena WebDev: from an image1439Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
AA Intelligence Index23.521.4Kimi K2.5
Epoch Capabilities Index148.1146.2Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
AA Agentic IndexNot measured18.5Only Qwen3.6 27B measured
Design Arena: agents building web apps1136Not measuredOnly Kimi K2.5 measured
Design Arena: agents building full-stack apps1114Not measuredOnly Kimi K2.5 measured
Design Arena: agents building mobile apps1147Not measuredOnly Kimi K2.5 measured
Design Arena: agents building Android apps1118Not measuredOnly Kimi K2.5 measured
Design Arena: agents building Godot games1219Not measuredOnly Kimi K2.5 measured
Finance Agent (Vals AI)35.8%Not measuredOnly Kimi K2.5 measured
Legal Research Bench (Vals AI)15.9%Not measuredOnly Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)28.5%Not measuredOnly Kimi K2.5 measured
τ²-Bench Telecom95.9%94.2%Kimi K2.5
OSWorld63.3%Not measuredOnly Kimi K2.5 measured
Vending-Bench 2$1,198Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
GPQA Diamond84.1%Not measuredOnly Kimi K2.5 measured
MMMU Pro (Vals AI)84.3%Not measuredOnly Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)87.9%84.2%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)30.7%23.1%Kimi K2.5
GPQA Diamond (Epoch AI run)Not measured85.9%Only Qwen3.6 27B measured
ARC-AGI65.3%Not measuredOnly Kimi K2.5 measured
ARC-AGI-211.8%Not measuredOnly Kimi K2.5 measured
SimpleBench46.8%Not measuredOnly Kimi K2.5 measured
Mystery game puzzlesNot measured7.0%Only Qwen3.6 27B measured
LMArena Text: hard prompts1453Not measuredOnly Kimi K2.5 measured
LMArena Text: expert1466Not measuredOnly Kimi K2.5 measured
LMArena Text: hard prompts in English1460Not measuredOnly Kimi K2.5 measured
LMArena Vision: diagrams1282Not measuredOnly Kimi K2.5 measured
LMArena Vision: homework1297Not measuredOnly Kimi K2.5 measured
Kagi LLM Benchmark78.5%Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
AIME95.6%Not measuredOnly Kimi K2.5 measured
OTIS Mock AIMENot measured91.1%Only Qwen3.6 27B measured
FrontierMath, tiers 1 to 3Not measured35.1%Only Qwen3.6 27B measured
LMArena Text: math1470Not measuredOnly Kimi K2.5 measured
LMArena Text: mathematical work1473Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
MMLU Pro85.9%Not measuredOnly Kimi K2.5 measured
CaseLaw (Vals AI)58.7%53.2%Kimi K2.5
CorpFin (Vals AI)68.3%62.3%Kimi K2.5
TaxEval (Vals AI)74.2%71.3%Kimi K2.5
MortgageTax (Vals AI)66.5%68.3%Qwen3.6 27B
MedQA (Vals AI)94.4%Not measuredOnly Kimi K2.5 measured
MedCode (Vals AI)39.3%Not measuredOnly Kimi K2.5 measured
SimpleQA Verified34.3%Not measuredOnly Kimi K2.5 measured
LMArena Text: science1459Not measuredOnly Kimi K2.5 measured
LMArena Text: medicine and healthcare1448Not measuredOnly Kimi K2.5 measured
LMArena Text: legal and government1441Not measuredOnly Kimi K2.5 measured
LMArena Text: business and finance1427Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
Design Arena: websites1248Not measuredOnly Kimi K2.5 measured
Design Arena: UI components1234Not measuredOnly Kimi K2.5 measured
Design Arena: game dev1206Not measuredOnly Kimi K2.5 measured
Design Arena: data viz1219Not measuredOnly Kimi K2.5 measured
Design Arena: 3D1204Not measuredOnly Kimi K2.5 measured
Design Arena: all code categories1236Not measuredOnly Kimi K2.5 measured
Design Arena: SVG1149Not measuredOnly Kimi K2.5 measured
Design Arena: ASCII art1166Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
SAGE (Vals AI)49.9%45.6%Kimi K2.5
MedScribe (Vals AI)76.4%Not measuredOnly Kimi K2.5 measured
IFBench70.2%67.6%Kimi K2.5
Long context reasoning (AA-LCR)78.0%77.3%Kimi K2.5
DTBenchNot measured78.1%Only Qwen3.6 27B measured
LMCANot measured34.5%Only Qwen3.6 27B measured
Fiction.LiveBench86.1%Not measuredOnly Kimi K2.5 measured
CL-bench19.3%Not measuredOnly Kimi K2.5 measured
CL-bench Life13.2%Not measuredOnly Kimi K2.5 measured
LMArena Text1445Not measuredOnly Kimi K2.5 measured
LMArena Text: instruction following1431Not measuredOnly Kimi K2.5 measured
LMArena Text: creative writing1422Not measuredOnly Kimi K2.5 measured
LMArena Vision1269Not measuredOnly Kimi K2.5 measured
LMArena Text: English1453Not measuredOnly Kimi K2.5 measured
LMArena Text: non-English1433Not measuredOnly Kimi K2.5 measured
LMArena Text: Chinese1494Not measuredOnly Kimi K2.5 measured
LMArena Text: German1441Not measuredOnly Kimi K2.5 measured
LMArena Text: Japanese1423Not measuredOnly Kimi K2.5 measured
LMArena Text: Korean1412Not measuredOnly Kimi K2.5 measured
LMArena Text: French1454Not measuredOnly Kimi K2.5 measured
LMArena Text: Spanish1450Not measuredOnly Kimi K2.5 measured
LMArena Text: Russian1435Not measuredOnly Kimi K2.5 measured
LMArena Text: Polish1445Not measuredOnly Kimi K2.5 measured
LMArena Text: multi-turn1444Not measuredOnly Kimi K2.5 measured
LMArena Text: longer queries1445Not measuredOnly Kimi K2.5 measured
LMArena Text: writing and language1425Not measuredOnly Kimi K2.5 measured
LMArena Text: entertainment and media1417Not measuredOnly Kimi K2.5 measured
LMArena Vision: English1274Not measuredOnly Kimi K2.5 measured
LMArena Vision: Chinese1328Not measuredOnly Kimi K2.5 measured
LMArena Vision: reading text1276Not measuredOnly Kimi K2.5 measured
LMArena Vision: humor1284Not measuredOnly Kimi K2.5 measured
LMArena Vision: captioning1257Not measuredOnly Kimi K2.5 measured
LMArena Vision: recognizing things1285Not measuredOnly Kimi K2.5 measured
LMArena Vision: creative writing1269Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.5 and Qwen3.6 27B
BenchmarkKimi K2.5Qwen3.6 27BLeader
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 K2.5$0.0020Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

Kimi K2.5$0.035Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

Kimi K2.5$0.135Fits in one request
Qwen3.6 27B$0.117Fits in one request

Qwen3.6 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.

Specifications of Kimi K2.5 and Qwen3.6 27B
SpecificationMoonshotAI Kimi K2.5Qwen3.6 27B
MakerMoonshot AIQwen
WeightsOpen weightsOpen weights
ReleasedJanuary 27, 2026April 27, 2026
Context window262K262K
Input $/Mtok$0.532$0.45
Output $/Mtok$2.85$2.70
Coding index38.636.8
Independent measurements behind it32
Cost per solved task$0.24$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.5 better than Qwen3.6 27B for coding?

Kimi K2.5 and Qwen3.6 27B are level for coding, 38.6 against 36.8 on the Vibe Coding Index, so price and context decide. Pick Qwen3.6 27B for output tokens 1.1x cheaper ($2.70 vs $2.85 per million) and work measured by AA Coding Index or MortgageTax (Vals AI), where it leads. Pick Kimi K2.5 for a lower cost per solved task ($0.24 against $1.30) and work measured by Vibe Code Bench (Vals AI) or AA Intelligence Index, where it leads.

Which is cheaper, Kimi K2.5 or Qwen3.6 27B?

Kimi K2.5 costs $0.532 per million input tokens and $2.85 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Per solved SWE-bench Verified task, Kimi K2.5 costs $0.24 and Qwen3.6 27B $1.30.

Which has the bigger context window, Kimi K2.5 or Qwen3.6 27B?

Neither: both take 262K tokens.

How many benchmarks is the Kimi K2.5 vs Qwen3.6 27B comparison based on?

16 benchmarks have a result for both models as of October 22, 2026. Kimi K2.5's coding index rests on 3 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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