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Kimi K2 Thinking vs Qwen3.7 Plus

Updated October 21, 2026. 9 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
22.0
Output $/M
$2.50
0
Qwen3.7 PlusQwen
Coding
33.2
Overall
25.2
Output $/M
$1.28
8
vs boards won of 9 shared, 1 tied

Decision reading

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
9
Kimi K2 Thinking only
21
Qwen3.7 Plus only
66
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Thinking not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Web design, 19.5 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: websites: Kimi K2 Thinking 1113 against Qwen3.7 Plus 1269, 19.5 points apart on a 0 to 100 scale.
Output price
Kimi K2 Thinking $2.50 against Qwen3.7 Plus $1.28 per million output tokens, 2.0x apart.
Context window
Kimi K2 Thinking takes 262K tokens, Qwen3.7 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 ThinkingBarsQwen3.7 PlusTies
Coding01
Intelligence02
Agentic work001 tie
Reasoning02
Web design01
General02
All shared boards081 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
SWE-bench Verified63.4%Not measuredOnly Kimi K2 Thinking measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)63.1%Not measuredOnly Kimi K2 Thinking measured
SWE-bench Verified (Vals AI)60.2%Not measuredOnly Kimi K2 Thinking measured
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
LiveCodeBench (Artificial Analysis run)85.3%Not measuredOnly Kimi K2 Thinking measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)31.1%47.0%Qwen3.7 Plus
Terminal-Bench35.7%Not measuredOnly Kimi K2 Thinking measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML42.8%Not measuredOnly Kimi K2 Thinking measured
ALE-Bench597.5Not measuredOnly Kimi K2 Thinking measured
LMArena Text: codingNot measured1473Only Qwen3.7 Plus measured
LMArena Text: software and ITNot measured1473Only Qwen3.7 Plus measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
AA Intelligence Index22.025.2Qwen3.7 Plus
Epoch Capabilities Index145.8147.0Qwen3.7 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index00
Agentic work benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench Telecom93.0%93.0%Tie
METR time horizons59.2%Not measuredOnly Kimi K2 Thinking measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
GPQA Diamond78.5%Not measuredOnly Kimi K2 Thinking measured
GPQA Diamond (Artificial Analysis run)83.8%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)23.8%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)Not measured87.9%Only Qwen3.7 Plus measured
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard promptsNot measured1460Only Qwen3.7 Plus measured
LMArena Text: expertNot measured1466Only Qwen3.7 Plus measured
LMArena Text: hard prompts in EnglishNot measured1460Only Qwen3.7 Plus measured
LMArena Vision: diagramsNot measured1292Only Qwen3.7 Plus measured
LMArena Vision: homeworkNot measured1295Only Qwen3.7 Plus measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
AIME85.4%Not measuredOnly Kimi K2 Thinking measured
MGSM (Vals AI)90.2%Not measuredOnly Kimi K2 Thinking measured
AA Math Index94.7Not measuredOnly Kimi K2 Thinking measured
AIME 2025 (Artificial Analysis run)94.7%Not measuredOnly Kimi K2 Thinking measured
OTIS Mock AIMENot measured93.3%Only Qwen3.7 Plus measured
FrontierMath, tiers 1 to 3Not measured34.4%Only Qwen3.7 Plus measured
LMArena Text: mathNot measured1467Only Qwen3.7 Plus measured
LMArena Text: mathematical workNot measured1470Only Qwen3.7 Plus measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
MMLU Pro81.1%Not measuredOnly Kimi K2 Thinking measured
LegalBench (Vals AI)80.2%Not measuredOnly Kimi K2 Thinking measured
CaseLaw (Vals AI)65.7%Not measuredOnly Kimi K2 Thinking measured
CorpFin (Vals AI)60.6%Not measuredOnly Kimi K2 Thinking measured
TaxEval (Vals AI)71.7%Not measuredOnly Kimi K2 Thinking measured
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
MedQA (Vals AI)92.6%Not measuredOnly Kimi K2 Thinking measured
MMLU Pro (Artificial Analysis run)84.8%Not measuredOnly Kimi K2 Thinking measured
LMArena Text: scienceNot measured1464Only Qwen3.7 Plus measured
LMArena Text: medicine and healthcareNot measured1464Only Qwen3.7 Plus measured
LMArena Text: legal and governmentNot measured1451Only Qwen3.7 Plus measured
LMArena Text: business and financeNot measured1435Only Qwen3.7 Plus measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
Design Arena: websites11131269Qwen3.7 Plus
Design Arena: UI componentsNot measured1261Only Qwen3.7 Plus measured
Design Arena: game devNot measured1262Only Qwen3.7 Plus measured
Design Arena: data vizNot measured1275Only Qwen3.7 Plus measured
Design Arena: 3DNot measured1239Only Qwen3.7 Plus measured
Design Arena: all code categoriesNot measured1269Only Qwen3.7 Plus measured
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1144Only Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench68.1%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)72.0%73.0%Qwen3.7 Plus
DTBenchNot measured84.0%Only Qwen3.7 Plus measured
LMCANot measured37.6%Only Qwen3.7 Plus measured
CL-bench17.6%Not measuredOnly Kimi K2 Thinking measured
LMArena TextNot measured1454Only Qwen3.7 Plus measured
LMArena Text: instruction followingNot measured1439Only Qwen3.7 Plus measured
LMArena Text: creative writingNot measured1438Only Qwen3.7 Plus measured
LMArena VisionNot measured1278Only Qwen3.7 Plus measured
LMArena Text: EnglishNot measured1458Only Qwen3.7 Plus measured
LMArena Text: non-EnglishNot measured1445Only Qwen3.7 Plus measured
LMArena Text: ChineseNot measured1509Only Qwen3.7 Plus measured
LMArena Text: GermanNot measured1471Only Qwen3.7 Plus measured
LMArena Text: JapaneseNot measured1412Only Qwen3.7 Plus measured
LMArena Text: KoreanNot measured1413Only Qwen3.7 Plus measured
LMArena Text: FrenchNot measured1472Only Qwen3.7 Plus measured
LMArena Text: SpanishNot measured1457Only Qwen3.7 Plus measured
LMArena Text: RussianNot measured1457Only Qwen3.7 Plus measured
LMArena Text: PolishNot measured1449Only Qwen3.7 Plus measured
LMArena Text: multi-turnNot measured1459Only Qwen3.7 Plus measured
LMArena Text: longer queriesNot measured1454Only Qwen3.7 Plus measured
LMArena Text: writing and languageNot measured1437Only Qwen3.7 Plus measured
LMArena Text: entertainment and mediaNot measured1422Only Qwen3.7 Plus measured
LMArena Vision: EnglishNot measured1280Only Qwen3.7 Plus measured
LMArena Vision: ChineseNot measured1332Only Qwen3.7 Plus measured
LMArena Vision: reading textNot measured1288Only Qwen3.7 Plus measured
LMArena Vision: humorNot measured1261Only Qwen3.7 Plus measured
LMArena Vision: creative writingNot measured1258Only Qwen3.7 Plus measured
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2 Thinking and Qwen3.7 Plus
BenchmarkKimi K2 ThinkingQwen3.7 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 Thinking$0.0019Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Kimi K2 Thinking$0.037Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Kimi K2 Thinking$0.145Fits in one request
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 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 Thinking and Qwen3.7 Plus
SpecificationMoonshotAI Kimi K2 ThinkingQwen3.7 Plus
MakerMoonshot AIQwen
WeightsOpen weightsNo public weights listed
ReleasedNovember 6, 2025June 3, 2026
Context window262K1M
Input $/Mtok$0.60$0.32
Output $/Mtok$2.50$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it12
Cost per solved task$0.61Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 Thinking better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; Kimi K2 Thinking has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Kimi K2 Thinking or Qwen3.7 Plus?

Kimi K2 Thinking costs $0.60 per million input tokens and $2.50 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Kimi K2 Thinking only.

Which has the bigger context window, Kimi K2 Thinking or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 262K.

How many benchmarks is the Kimi K2 Thinking vs Qwen3.7 Plus comparison based on?

9 benchmarks have a result for both models as of October 21, 2026. Kimi K2 Thinking's coding index rests on 1 independent benchmark and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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