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Kimi K2.7 Code vs Qwen3.6 27B

Kimi K2.7 Code leads Qwen3.6 27B on coding, 53.4 to 36.8 on the Vibe Coding Index, and Qwen3.6 27B costs 1.5x less per output token ($2.70 vs $4.00 per million). Updated October 21, 2026; 16 benchmarks have a result for both.

Replace Kimi K2.7 Code Replace Qwen3.6 27B
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
14
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
2
vs boards won of 16 shared

Kimi K2.7 Code or Qwen3.6 27B: which to pick

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 36.8 for Qwen3.6 27B.

Pick Qwen3.6 27B for output tokens 1.5x cheaper ($2.70 vs $4.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Model AKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved taskModel BQwen3.6 27BQwen36.8/1002 independent benchmarks$1.30 per solved task
Shared results
16
Kimi K2.7 Code only
35
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 K2.7 Code 53.4 from 4 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Coding, 13.1 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against Qwen3.6 27B 11.9%, 35.3 points apart on a 0 to 100 scale.
Output price
Kimi K2.7 Code $4.00 against Qwen3.6 27B $2.70 per million output tokens, 1.5x 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 K2.7 CodeBarsQwen3.6 27BTies
Coding50
Intelligence20
Agentic work11
Reasoning30
Math20
General11
All shared boards142
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
LMArena WebDev1474Not measuredOnly Kimi K2.7 Code measured
AA Coding Index60.853.7Kimi K2.7 Code
LiveCodeBench (Vals AI)82.0%Not measuredOnly Kimi K2.7 Code measured
SWE-bench Verified (Vals AI)78.2%70.0%Kimi K2.7 Code
Vibe Code Bench (Vals AI)47.2%11.9%Kimi K2.7 Code
Code migration (Vals AI)25.4%Not measuredOnly Kimi K2.7 Code measured
ProgramBench (Vals AI)0.0%Not measuredOnly Kimi K2.7 Code measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly Kimi K2.7 Code measured
SkillsBench (Vals AI)50.0%Not measuredOnly Kimi K2.7 Code measured
SciCode47.8%42.8%Kimi K2.7 Code
Terminal-Bench Hard (Artificial Analysis run)44.7%34.8%Kimi K2.7 Code
FrontierCode30.1%Not measuredOnly Kimi K2.7 Code measured
WeirdML54.1%Not measuredOnly Kimi K2.7 Code measured
ALE-Bench886.2Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: React1475Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: HTML1451Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: from an image1513Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
AA Intelligence Index25.821.4Kimi K2.7 Code
Epoch Capabilities Index150.1146.2Kimi K2.7 Code
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
AA Agentic Index21.018.5Kimi K2.7 Code
Design Arena: agents building web apps1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building full-stack apps1175Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building mobile apps1143Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Android apps1137Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Godot games1147Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building games1131Not measuredOnly Kimi K2.7 Code measured
Design Arena: HTML slides1201Not measuredOnly Kimi K2.7 Code measured
Design Arena: PowerPoint slides1154Not measuredOnly Kimi K2.7 Code measured
τ²-Bench Telecom90.1%94.2%Qwen3.6 27B
APEX-Agents37.6%Not measuredOnly Kimi K2.7 Code measured
Vending-Bench 2$5,083Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
GPQA Diamond (Artificial Analysis run)89.6%84.2%Kimi K2.7 Code
Humanity's Last Exam (Artificial Analysis run)35.0%23.1%Kimi K2.7 Code
GPQA Diamond (Epoch AI run)87.9%85.9%Kimi K2.7 Code
SimpleBench57.9%Not measuredOnly Kimi K2.7 Code measured
Chess puzzles14.0%Not measuredOnly Kimi K2.7 Code measured
Mystery game puzzlesNot measured7.0%Only Qwen3.6 27B measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
OTIS Mock AIME95.6%91.1%Kimi K2.7 Code
FrontierMath, tiers 1 to 354.0%35.1%Kimi K2.7 Code
FrontierMath, tier 412.2%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
CaseLaw (Vals AI)Not measured53.2%Only Qwen3.6 27B measured
CorpFin (Vals AI)Not measured62.3%Only Qwen3.6 27B measured
TaxEval (Vals AI)Not measured71.3%Only Qwen3.6 27B measured
MortgageTax (Vals AI)Not measured68.3%Only Qwen3.6 27B measured
SimpleQA Verified36.5%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
Design Arena: websites1264Not measuredOnly Kimi K2.7 Code measured
Design Arena: UI components1259Not measuredOnly Kimi K2.7 Code measured
Design Arena: game dev1220Not measuredOnly Kimi K2.7 Code measured
Design Arena: data viz1227Not measuredOnly Kimi K2.7 Code measured
Design Arena: 3D1241Not measuredOnly Kimi K2.7 Code measured
Design Arena: all code categories1253Not measuredOnly Kimi K2.7 Code measured
Design Arena: SVG1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: ASCII art1196Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 27BLeader
SAGE (Vals AI)Not measured45.6%Only Qwen3.6 27B measured
IFBench63.1%67.6%Qwen3.6 27B
Long context reasoning (AA-LCR)79.3%77.3%Kimi K2.7 Code
DTBenchNot measured78.1%Only Qwen3.6 27B measured
LMCANot measured34.5%Only Qwen3.6 27B measured
Surface Evolver Bench48.8%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 40 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.7 Code and Qwen3.6 27B
BenchmarkKimi K2.7 CodeQwen3.6 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 K2.7 Code$0.0029Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

Kimi K2.7 Code$0.059Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

Kimi K2.7 Code$0.230Fits 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 K2.7 Code and Qwen3.6 27B
SpecificationMoonshotAI Kimi K2.7 CodeQwen3.6 27B
MakerMoonshot AIQwen
WeightsOpen weightsOpen weights
ReleasedJune 12, 2026April 27, 2026
Context window262K262K
Input $/Mtok$0.95$0.45
Output $/Mtok$4.00$2.70
Coding index53.436.8
Independent measurements behind it42
Cost per solved task$0.35$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than Qwen3.6 27B for coding?

Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 36.8 for Qwen3.6 27B. Pick Qwen3.6 27B for output tokens 1.5x cheaper ($2.70 vs $4.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Kimi K2.7 Code or Qwen3.6 27B?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Per solved SWE-bench Verified task, Kimi K2.7 Code costs $0.35 and Qwen3.6 27B $1.30.

Which has the bigger context window, Kimi K2.7 Code or Qwen3.6 27B?

Neither: both take 262K tokens.

How many benchmarks is the Kimi K2.7 Code vs Qwen3.6 27B comparison based on?

16 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 4 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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