Enter opens the highlighted result. Esc closes.

Kimi K2.7 Code vs Qwen3.5 Plus 2026-02-15

Qwen3.5 Plus 2026-02-15 costs 2.6x less per output token than Kimi K2.7 Code ($1.56 vs $4.00 per million). Updated October 21, 2026; 8 benchmarks have a result for both.

Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
8
Qwen3.5 Plus 2026-02-15Qwen
Coding
No data
Overall
No data
Output $/M
$1.56
0
vs boards won of 8 shared

Kimi K2.7 Code or Qwen3.5 Plus 2026-02-15: which to pick

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Qwen3.5 Plus 2026-02-15 has none, so the two cannot be ranked on coding.

Pick Qwen3.5 Plus 2026-02-15 for output tokens 2.6x cheaper ($1.56 vs $4.00 per million) and a larger context window (1M against 262K tokens).

Shared results
8
Kimi K2.7 Code only
43
Qwen3.5 Plus 2026-02-15 only
0
Like-for-like categories
1 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, Qwen3.5 Plus 2026-02-15 not benchmarked.
Widest category
Web design, 11.6 points apart on average over 8 shared benchmarks.
Widest single gap
Design Arena: 3D: Kimi K2.7 Code 1241 against Qwen3.5 Plus 2026-02-15 1119, 15.2 points apart on a 0 to 100 scale.
Output price
Kimi K2.7 Code $4.00 against Qwen3.5 Plus 2026-02-15 $1.56 per million output tokens, 2.6x apart.
Context window
Kimi K2.7 Code takes 262K tokens, Qwen3.5 Plus 2026-02-15 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 K2.7 CodeBarsQwen3.5 Plus 2026-02-15Ties
Web design80
All shared boards80
CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards, none shared
Coding benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
LMArena WebDev1474Not measuredOnly Kimi K2.7 Code measured
AA Coding Index60.8Not measuredOnly Kimi K2.7 Code measured
LiveCodeBench (Vals AI)82.0%Not measuredOnly Kimi K2.7 Code measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Kimi K2.7 Code measured
Vibe Code Bench (Vals AI)47.2%Not measuredOnly Kimi K2.7 Code measured
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%Not measuredOnly Kimi K2.7 Code measured
Terminal-Bench Hard (Artificial Analysis run)44.7%Not measuredOnly Kimi K2.7 Code measured
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
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
AA Intelligence Index25.8Not measuredOnly Kimi K2.7 Code measured
Epoch Capabilities Index150.1Not measuredOnly Kimi K2.7 Code measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
AA Agentic Index21.0Not measuredOnly Kimi K2.7 Code measured
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%Not measuredOnly Kimi K2.7 Code measured
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
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Kimi K2.7 Code measured
Humanity's Last Exam (Artificial Analysis run)35.0%Not measuredOnly Kimi K2.7 Code measured
GPQA Diamond (Epoch AI run)87.9%Not measuredOnly Kimi K2.7 Code measured
SimpleBench57.9%Not measuredOnly Kimi K2.7 Code measured
Chess puzzles14.0%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
OTIS Mock AIME95.6%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tiers 1 to 354.0%Not measuredOnly Kimi K2.7 Code measured
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 index1 board, none shared
Knowledge benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
SimpleQA Verified36.5%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 17 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
Design Arena: websites12641187Kimi K2.7 Code
Design Arena: UI components12591178Kimi K2.7 Code
Design Arena: game dev12201105Kimi K2.7 Code
Design Arena: data viz12271135Kimi K2.7 Code
Design Arena: 3D12411119Kimi K2.7 Code
Design Arena: all code categories12531167Kimi K2.7 Code
Design Arena: SVG11761108Kimi K2.7 Code
Design Arena: ASCII art11961094Kimi K2.7 Code
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Kimi K2.7 Code and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
IFBench63.1%Not measuredOnly Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%Not measuredOnly Kimi K2.7 Code measured
Surface Evolver Bench48.8%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 43 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 Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2.7 CodeQwen3.5 Plus 2026-02-15Leader
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
Qwen3.5 Plus 2026-02-15$0.0010Fits in one request

Qwen3.5 Plus 2026-02-15 costs less

Repository review

50K input + 3K output tokens

Kimi K2.7 Code$0.059Fits in one request
Qwen3.5 Plus 2026-02-15$0.018Fits in one request

Qwen3.5 Plus 2026-02-15 costs less

Agent loop

200K input + 10K output tokens

Kimi K2.7 Code$0.230Fits in one request
Qwen3.5 Plus 2026-02-15$0.068Fits in one request

Qwen3.5 Plus 2026-02-15 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 Qwen3.5 Plus 2026-02-15
SpecificationMoonshotAI Kimi K2.7 CodeQwen3.5 Plus 2026-02-15
MakerMoonshot AIQwen
WeightsOpen weightsNo public weights listed
ReleasedJune 12, 2026February 16, 2026
Context window262K1M
Input $/Mtok$0.95$0.26
Output $/Mtok$4.00$1.56
Coding index53.4Not benchmarked
Independent measurements behind it40
Cost per solved task$0.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than Qwen3.5 Plus 2026-02-15 for coding?

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Qwen3.5 Plus 2026-02-15 has none, so the two cannot be ranked on coding. Pick Qwen3.5 Plus 2026-02-15 for output tokens 2.6x cheaper ($1.56 vs $4.00 per million) and a larger context window (1M against 262K tokens).

Which is cheaper, Kimi K2.7 Code or Qwen3.5 Plus 2026-02-15?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Qwen3.5 Plus 2026-02-15 costs $0.26 and $1.56. Cost per solved task is known for Kimi K2.7 Code only.

Which has the bigger context window, Kimi K2.7 Code or Qwen3.5 Plus 2026-02-15?

Qwen3.5 Plus 2026-02-15, with 1M tokens against 262K.

How many benchmarks is the Kimi K2.7 Code vs Qwen3.5 Plus 2026-02-15 comparison based on?

8 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 Qwen3.5 Plus 2026-02-15's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next