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Kimi K2.5 vs Qwen3.6 Plus

Qwen3.6 Plus leads Kimi K2.5 on coding, 44.1 to 38.6 on the Vibe Coding Index, and Qwen3.6 Plus costs 1.5x less per output token ($1.95 vs $2.85 per million). Updated October 22, 2026; 72 benchmarks have a result for both.

Replace Kimi K2.5 Replace Qwen3.6 Plus
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
39
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
32
vs boards won of 72 shared, 1 tied

Kimi K2.5 or Qwen3.6 Plus: which to pick

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 38.6 for Kimi K2.5.

Pick Kimi K2.5 for a lower cost per solved task ($0.24 against $1.19) and work measured by ALE-Bench or LMArena Text: coding, where it leads.

Model AKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved taskModel BQwen3.6 PlusQwen44.1/1003 independent benchmarks$1.19 per solved task
Shared results
72
Kimi K2.5 only
27
Qwen3.6 Plus only
11
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.

At a glance

Coding index
Kimi K2.5 38.6 from 3 benchmarks, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Agentic work, 7.3 points apart on average over 5 shared benchmarks.
Widest single gap
Vending-Bench 2: Kimi K2.5 $1,198 against Qwen3.6 Plus $5,115, 24.5 points apart on a 0 to 100 scale.
Output price
Kimi K2.5 $2.85 against Qwen3.6 Plus $1.95 per million output tokens, 1.5x apart.
Context window
Kimi K2.5 takes 262K 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.

Boards won, where both have a result
CategoryKimi K2.5BarsQwen3.6 PlusTies
Coding311
Intelligence11
Agentic work14
Reasoning52
Math30
Knowledge65
Web design431 tie
General166
All shared boards39321 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index311
Coding benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
SWE-bench Verified70.8%Not measuredOnly Kimi K2.5 measured
SWE-bench Multilingual67.3%Not measuredOnly Kimi K2.5 measured
LMArena WebDev14371461Qwen3.6 Plus
AA Coding Index46.854.5Qwen3.6 Plus
LiveCodeBench (Vals AI)83.9%86.0%Qwen3.6 Plus
SWE-bench Verified (Vals AI)70.0%73.4%Qwen3.6 Plus
Vibe Code Bench (Vals AI)17.5%25.6%Qwen3.6 Plus
Code migration (Vals AI)7.0%11.1%Qwen3.6 Plus
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)42.0%53.2%Qwen3.6 Plus
Terminal-Bench Hard (Artificial Analysis run)34.8%43.9%Qwen3.6 Plus
Terminal-Bench43.2%Not measuredOnly Kimi K2.5 measured
WeirdML45.6%Not measuredOnly Kimi K2.5 measured
ALE-Bench821.6670.1Kimi K2.5
LMArena Text: coding14831467Kimi K2.5
LMArena Text: software and IT14711462Kimi K2.5
LMArena WebDev: React14291454Qwen3.6 Plus
LMArena WebDev: HTML14261463Qwen3.6 Plus
LMArena WebDev: from an image14391472Qwen3.6 Plus
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
AA Intelligence Index23.527.0Qwen3.6 Plus
Epoch Capabilities Index148.1147.3Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
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%40.9%Qwen3.6 Plus
Tax Agent Bench (Vals AI)Not measured7.7%Only Qwen3.6 Plus measured
Legal Research Bench (Vals AI)15.9%14.9%Kimi K2.5
Excel Modeling Benchmark (Vals AI)28.5%32.9%Qwen3.6 Plus
τ²-Bench Telecom95.9%97.7%Qwen3.6 Plus
OSWorld63.3%Not measuredOnly Kimi K2.5 measured
Vending-Bench 2$1,198$5,115Qwen3.6 Plus
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
Reasoning benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
GPQA Diamond84.1%87.4%Qwen3.6 Plus
MMMU Pro (Vals AI)84.3%84.2%Kimi K2.5
GPQA Diamond (Artificial Analysis run)87.9%88.2%Qwen3.6 Plus
Humanity's Last Exam (Artificial Analysis run)30.7%27.8%Kimi K2.5
GPQA Diamond (Epoch AI run)Not measured88.4%Only Qwen3.6 Plus 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
Chess puzzlesNot measured14.0%Only Qwen3.6 Plus measured
Mystery game puzzlesNot measured12.0%Only Qwen3.6 Plus measured
LMArena Text: hard prompts14531448Kimi K2.5
LMArena Text: expert14661454Kimi K2.5
LMArena Text: hard prompts in English14601455Kimi K2.5
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 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
AIME95.6%94.6%Kimi K2.5
OTIS Mock AIMENot measured93.3%Only Qwen3.6 Plus measured
FrontierMath, tiers 1 to 3Not measured38.2%Only Qwen3.6 Plus measured
LMArena Text: math14701449Kimi K2.5
LMArena Text: mathematical work14731448Kimi K2.5
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index65
Knowledge benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
MMLU Pro85.9%87.7%Qwen3.6 Plus
LegalBench (Vals AI)Not measured84.2%Only Qwen3.6 Plus measured
CaseLaw (Vals AI)58.7%51.5%Kimi K2.5
CorpFin (Vals AI)68.3%61.9%Kimi K2.5
TaxEval (Vals AI)74.2%74.7%Qwen3.6 Plus
MortgageTax (Vals AI)66.5%68.0%Qwen3.6 Plus
MedQA (Vals AI)94.4%Not measuredOnly Kimi K2.5 measured
MedCode (Vals AI)39.3%36.9%Kimi K2.5
SimpleQA Verified34.3%44.1%Qwen3.6 Plus
LMArena Text: science14591439Kimi K2.5
LMArena Text: medicine and healthcare14481442Kimi K2.5
LMArena Text: legal and government14411437Kimi K2.5
LMArena Text: business and finance14271430Qwen3.6 Plus
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
Design Arena: websites12481243Kimi K2.5
Design Arena: UI components12341230Kimi K2.5
Design Arena: game dev12061211Qwen3.6 Plus
Design Arena: data viz12191228Qwen3.6 Plus
Design Arena: 3D12041202Kimi K2.5
Design Arena: all code categories12361236Tie
Design Arena: SVG11491161Qwen3.6 Plus
Design Arena: ASCII art11661113Kimi K2.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index166
General benchmarks for Kimi K2.5 and Qwen3.6 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
SAGE (Vals AI)49.9%44.9%Kimi K2.5
MedScribe (Vals AI)76.4%77.0%Qwen3.6 Plus
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBench70.2%75.2%Qwen3.6 Plus
Long context reasoning (AA-LCR)78.0%78.3%Qwen3.6 Plus
DTBenchNot measured81.9%Only Qwen3.6 Plus measured
LMCANot measured33.1%Only Qwen3.6 Plus measured
Fiction.LiveBench86.1%Not measuredOnly Kimi K2.5 measured
CL-bench19.3%20.3%Qwen3.6 Plus
CL-bench Life13.2%Not measuredOnly Kimi K2.5 measured
LMArena Text14451436Kimi K2.5
LMArena Text: instruction following14311424Kimi K2.5
LMArena Text: creative writing14221404Kimi K2.5
LMArena Vision1269Not measuredOnly Kimi K2.5 measured
LMArena Text: English14531445Kimi K2.5
LMArena Text: non-English14331424Kimi K2.5
LMArena Text: Chinese14941477Kimi K2.5
LMArena Text: German14411451Qwen3.6 Plus
LMArena Text: Japanese14231390Kimi K2.5
LMArena Text: Korean14121379Kimi K2.5
LMArena Text: French14541455Qwen3.6 Plus
LMArena Text: Spanish14501432Kimi K2.5
LMArena Text: Russian14351434Kimi K2.5
LMArena Text: Polish14451433Kimi K2.5
LMArena Text: multi-turn14441438Kimi K2.5
LMArena Text: longer queries14451439Kimi K2.5
LMArena Text: writing and language14251418Kimi K2.5
LMArena Text: entertainment and media14171402Kimi K2.5
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 11 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 Plus
BenchmarkKimi K2.5Qwen3.6 PlusLeader
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 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

Kimi K2.5$0.035Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Kimi K2.5$0.135Fits in one request
Qwen3.6 Plus$0.085Fits in one request

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.

Specifications of Kimi K2.5 and Qwen3.6 Plus
SpecificationMoonshotAI Kimi K2.5Qwen3.6 Plus
MakerMoonshot AIQwen
WeightsOpen weightsNo public weights listed
ReleasedJanuary 27, 2026April 2, 2026
Context window262K1M
Input $/Mtok$0.532$0.325
Output $/Mtok$2.85$1.95
Coding index38.644.1
Independent measurements behind it33
Cost per solved task$0.24$1.19
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 38.6 for Kimi K2.5. Pick Kimi K2.5 for a lower cost per solved task ($0.24 against $1.19) and work measured by ALE-Bench or LMArena Text: coding, where it leads.

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

Kimi K2.5 costs $0.532 per million input tokens and $2.85 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, Kimi K2.5 costs $0.24 and Qwen3.6 Plus $1.19.

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

Qwen3.6 Plus, with 1M tokens against 262K.

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

72 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 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/kimi-k2-5-vs-qwen3-6-plus">LLMBenchmark.ai, Kimi K2.5 vs Qwen3.6 Plus</a></p>