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Kimi K2 0711 vs Qwen3.6 27B

Qwen3.6 27B leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 21.4 to 12.7, at about the same output price ($2.70 vs $2.30 per million). Updated October 21, 2026; 10 benchmarks have a result for both.

Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
0
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
10
vs boards won of 10 shared

Kimi K2 0711 or Qwen3.6 27B: which to pick

Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding.

Pick Kimi K2 0711 for output tokens 1.2x cheaper ($2.30 vs $2.70 per million).

Shared results
10
Kimi K2 0711 only
27
Qwen3.6 27B only
14
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 0711 not benchmarked, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Agentic work, 33.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Kimi K2 0711 61.1% against Qwen3.6 27B 94.2%, 33.0 points apart on a 0 to 100 scale.
Output price
Kimi K2 0711 $2.30 against Qwen3.6 27B $2.70 per million output tokens, 1.2x apart.
Context window
Kimi K2 0711 takes 131K tokens, Qwen3.6 27B 262K.

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 0711BarsQwen3.6 27BTies
Coding01
Intelligence02
Agentic work01
Reasoning02
Knowledge02
General02
All shared boards010
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
Aider polyglot59.1%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified71.2%Not measuredOnly Kimi K2 0711 measured
AA Coding IndexNot measured53.7Only Qwen3.6 27B measured
LiveCodeBench (Vals AI)70.5%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Qwen3.6 27B measured
Vibe Code Bench (Vals AI)Not measured11.9%Only Qwen3.6 27B measured
LiveCodeBench (Artificial Analysis run)55.6%Not measuredOnly Kimi K2 0711 measured
SciCodeNot measured42.8%Only Qwen3.6 27B measured
Terminal-Bench Hard (Artificial Analysis run)15.9%34.8%Qwen3.6 27B
Terminal-Bench27.8%Not measuredOnly Kimi K2 0711 measured
GSO-Bench4.9%Not measuredOnly Kimi K2 0711 measured
WeirdML39.4%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
AA Intelligence Index12.721.4Qwen3.6 27B
Epoch Capabilities Index140.0146.2Qwen3.6 27B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
AA Agentic IndexNot measured18.5Only Qwen3.6 27B measured
τ²-Bench Telecom61.1%94.2%Qwen3.6 27B
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
GPQA Diamond71.5%Not measuredOnly Kimi K2 0711 measured
GPQA Diamond (Artificial Analysis run)76.6%84.2%Qwen3.6 27B
Humanity's Last Exam (Artificial Analysis run)7.4%23.1%Qwen3.6 27B
GPQA Diamond (Epoch AI run)Not measured85.9%Only Qwen3.6 27B measured
SimpleBench26.3%Not measuredOnly Kimi K2 0711 measured
Mystery game puzzlesNot measured7.0%Only Qwen3.6 27B measured
Kagi LLM Benchmark64.4%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
AIME62.7%Not measuredOnly Kimi K2 0711 measured
MATH 500 (Vals AI)94.2%Not measuredOnly Kimi K2 0711 measured
MGSM (Vals AI)91.0%Not measuredOnly Kimi K2 0711 measured
AA Math Index57.0Not measuredOnly Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)57.0%Not measuredOnly Kimi K2 0711 measured
OTIS Mock AIMENot measured91.1%Only Qwen3.6 27B measured
FrontierMath, tiers 1 to 3Not measured35.1%Only Qwen3.6 27B measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index02
Knowledge benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
MMLU Pro79.4%Not measuredOnly Kimi K2 0711 measured
LegalBench (Vals AI)81.5%Not measuredOnly Kimi K2 0711 measured
CaseLaw (Vals AI)Not measured53.2%Only Qwen3.6 27B measured
CorpFin (Vals AI)50.4%62.3%Qwen3.6 27B
TaxEval (Vals AI)70.2%71.3%Qwen3.6 27B
MortgageTax (Vals AI)Not measured68.3%Only Qwen3.6 27B measured
MedQA (Vals AI)84.0%Not measuredOnly Kimi K2 0711 measured
MMLU Pro (Artificial Analysis run)82.4%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
Design Arena: websites1050Not measuredOnly Kimi K2 0711 measured
Design Arena: UI components1030Not measuredOnly Kimi K2 0711 measured
Design Arena: game dev974Not measuredOnly Kimi K2 0711 measured
Design Arena: data viz1018Not measuredOnly Kimi K2 0711 measured
Design Arena: all code categories1033Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 27BLeader
SAGE (Vals AI)Not measured45.6%Only Qwen3.6 27B measured
IFBench41.5%67.6%Qwen3.6 27B
Long context reasoning (AA-LCR)53.0%77.3%Qwen3.6 27B
DTBenchNot measured78.1%Only Qwen3.6 27B measured
LMCANot measured34.5%Only Qwen3.6 27B measured
Fiction.LiveBench61.1%Not measuredOnly Kimi K2 0711 measured
Creative writing (Lech Mazur)85.6%Not measuredOnly Kimi K2 0711 measured
CL-bench11.9%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 38 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2 0711 and Qwen3.6 27B
BenchmarkKimi K2 0711Qwen3.6 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 0711$0.0017Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Kimi K2 0711 costs less

Repository review

50K input + 3K output tokens

Kimi K2 0711$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 0711$0.137Exceeds the context window
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 0711 and Qwen3.6 27B
SpecificationMoonshotAI Kimi K2 0711Qwen3.6 27B
MakerMoonshot AIQwen
WeightsOpen weightsOpen weights
ReleasedJuly 11, 2025April 27, 2026
Context window131K262K
Input $/Mtok$0.57$0.45
Output $/Mtok$2.30$2.70
Coding indexNot benchmarked36.8
Independent measurements behind it02
Cost per solved taskNot computable$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0711 better than Qwen3.6 27B for coding?

Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding. Pick Kimi K2 0711 for output tokens 1.2x cheaper ($2.30 vs $2.70 per million).

Which is cheaper, Kimi K2 0711 or Qwen3.6 27B?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Cost per solved task is known for Qwen3.6 27B only.

Which has the bigger context window, Kimi K2 0711 or Qwen3.6 27B?

Qwen3.6 27B, with 262K tokens against 131K.

How many benchmarks is the Kimi K2 0711 vs Qwen3.6 27B comparison based on?

10 benchmarks have a result for both models as of October 21, 2026. Kimi K2 0711's coding index rests on 0 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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