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Kimi K2 0905 vs Qwen3.5 Plus 2026-02-15

Qwen3.5 Plus 2026-02-15 costs 1.6x less per output token than Kimi K2 0905 ($1.56 vs $2.50 per million). Updated October 23, 2026; 2 benchmarks have a result for both.

Kimi K2 0905Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.50
0
Qwen3.5 Plus 2026-02-15Qwen
Coding
No data
Overall
No data
Output $/M
$1.56
2
vs boards won of 2 shared

Kimi K2 0905 or Qwen3.5 Plus 2026-02-15: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Kimi K2 0905 for work measured by Design Arena: websites or Design Arena: all code categories, where it leads.

Shared results
2
Kimi K2 0905 only
15
Qwen3.5 Plus 2026-02-15 only
6
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 0905 not benchmarked, Qwen3.5 Plus 2026-02-15 not benchmarked.
Widest category
Web design, 10.4 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: websites: Kimi K2 0905 1088 against Qwen3.5 Plus 2026-02-15 1187, 12.4 points apart on a 0 to 100 scale.
Output price
Kimi K2 0905 $2.50 against Qwen3.5 Plus 2026-02-15 $1.56 per million output tokens, 1.6x apart.
Context window
Kimi K2 0905 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 0905BarsQwen3.5 Plus 2026-02-15Ties
Web design02
All shared boards02
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
Coding benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
LiveCodeBench (Artificial Analysis run)61.0%Not measuredOnly Kimi K2 0905 measured
Terminal-Bench Hard (Artificial Analysis run)23.5%Not measuredOnly Kimi K2 0905 measured
WeirdML36.7%Not measuredOnly Kimi K2 0905 measured
ALE-Bench267.1Not measuredOnly Kimi K2 0905 measured
Neither model has a result on the other 39 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
AA Intelligence Index15.3Not measuredOnly Kimi K2 0905 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
τ²-Bench Telecom73.4%Not measuredOnly Kimi K2 0905 measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Reasoning benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
GPQA Diamond (Artificial Analysis run)76.7%Not measuredOnly Kimi K2 0905 measured
Humanity's Last Exam (Artificial Analysis run)6.4%Not measuredOnly Kimi K2 0905 measured
Kagi LLM Benchmark52.2%Not measuredOnly Kimi K2 0905 measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
AA Math Index57.3Not measuredOnly Kimi K2 0905 measured
AIME 2025 (Artificial Analysis run)57.3%Not measuredOnly Kimi K2 0905 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
MMLU Pro (Artificial Analysis run)81.9%Not measuredOnly Kimi K2 0905 measured
Neither model has a result on the other 19 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
Design Arena: websites10881187Qwen3.5 Plus 2026-02-15
Design Arena: UI componentsNot measured1175Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: game devNot measured1105Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: data vizNot measured1135Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: 3DNot measured1120Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: all code categories10981166Qwen3.5 Plus 2026-02-15
Design Arena: SVGNot measured1107Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: ASCII artNot measured1094Only Qwen3.5 Plus 2026-02-15 measured
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 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 Plus 2026-02-15Leader
IFBench41.7%Not measuredOnly Kimi K2 0905 measured
Long context reasoning (AA-LCR)53.0%Not measuredOnly Kimi K2 0905 measured
Fiction.LiveBench66.7%Not measuredOnly Kimi K2 0905 measured
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2 0905 and Qwen3.5 Plus 2026-02-15
BenchmarkKimi K2 0905Qwen3.5 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 0905$0.0019Fits 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 0905$0.037Fits 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 0905$0.145Fits 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 0905 and Qwen3.5 Plus 2026-02-15
SpecificationMoonshotAI Kimi K2 0905Qwen3.5 Plus 2026-02-15
MakerMoonshot AIQwen
WeightsOpen weightsNo public weights listed
ReleasedSeptember 4, 2025February 16, 2026
Context window262K1M
Input $/Mtok$0.60$0.26
Output $/Mtok$2.50$1.56
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0905 better than Qwen3.5 Plus 2026-02-15 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Kimi K2 0905 for work measured by Design Arena: websites or Design Arena: all code categories, where it leads.

Which is cheaper, Kimi K2 0905 or Qwen3.5 Plus 2026-02-15?

Kimi K2 0905 costs $0.60 per million input tokens and $2.50 per million output tokens; Qwen3.5 Plus 2026-02-15 costs $0.26 and $1.56. Cost per solved task is known for neither of them.

Which has the bigger context window, Kimi K2 0905 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 0905 vs Qwen3.5 Plus 2026-02-15 comparison based on?

2 benchmarks have a result for both models as of October 23, 2026. Kimi K2 0905's coding index rests on 0 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.

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