Enter opens the highlighted result. Esc closes.

Kimi K2.6 vs Qwen3.7 Plus

Kimi K2.6 leads Qwen3.7 Plus on coding, 52.1 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 3.1x less per output token ($1.28 vs $4.00 per million). Updated October 21, 2026; 73 benchmarks have a result for both.

Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
56
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
16
vs boards won of 73 shared, 1 tied

Kimi K2.6 or Qwen3.7 Plus: which to pick

Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for output tokens 3.1x cheaper ($1.28 vs $4.00 per million) and a larger context window (1M against 262K tokens).

Shared results
73
Kimi K2.6 only
36
Qwen3.7 Plus only
2
Like-for-like categories
8 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 K2.6 52.1 from 3 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Math, 7.1 points apart on average over 4 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Kimi K2.6 57.2% against Qwen3.7 Plus 34.4%, 22.8 points apart on a 0 to 100 scale.
Output price
Kimi K2.6 $4.00 against Qwen3.7 Plus $1.28 per million output tokens, 3.1x apart.
Context window
Kimi K2.6 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 K2.6BarsQwen3.7 PlusTies
Coding62
Intelligence20
Agentic work61
Reasoning90
Math40
Knowledge32
Web design431 tie
General228
All shared boards56161 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
Coding benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
LMArena WebDev1509Not measuredOnly Kimi K2.6 measured
AA Coding Index61.855.9Kimi K2.6
LiveCodeBench (Vals AI)86.8%Not measuredOnly Kimi K2.6 measured
SWE-bench Verified (Vals AI)76.2%Not measuredOnly Kimi K2.6 measured
Vibe Code Bench (Vals AI)37.9%46.4%Qwen3.7 Plus
Code migration (Vals AI)27.8%12.9%Kimi K2.6
ProgramBench (Vals AI)0.0%Not measuredOnly Kimi K2.6 measured
Terminal-Bench 2.1 (Vals AI)53.6%52.8%Kimi K2.6
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
SciCode51.5%46.1%Kimi K2.6
Terminal-Bench Hard (Artificial Analysis run)43.9%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML55.9%Not measuredOnly Kimi K2.6 measured
ALE-Bench1092.7Not measuredOnly Kimi K2.6 measured
LMArena Text: coding14891473Kimi K2.6
LMArena Text: software and IT14841473Kimi K2.6
LMArena WebDev: React1505Not measuredOnly Kimi K2.6 measured
LMArena WebDev: HTML1485Not measuredOnly Kimi K2.6 measured
LMArena WebDev: from an image1521Not measuredOnly Kimi K2.6 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
AA Intelligence Index27.025.2Kimi K2.6
Epoch Capabilities Index150.9147.0Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index61
Agentic work benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
AA Agentic Index20.517.5Kimi K2.6
Design Arena: agents building web apps1268Not measuredOnly Kimi K2.6 measured
Design Arena: agents building full-stack apps1155Not measuredOnly Kimi K2.6 measured
Design Arena: agents building mobile apps1157Not measuredOnly Kimi K2.6 measured
Design Arena: agents building Android apps1160Not measuredOnly Kimi K2.6 measured
Design Arena: agents building Godot games1120Not measuredOnly Kimi K2.6 measured
Design Arena: agents building games1141Not measuredOnly Kimi K2.6 measured
Design Arena: HTML slides1184Not measuredOnly Kimi K2.6 measured
Design Arena: PowerPoint slides1128Not measuredOnly Kimi K2.6 measured
Design Arena: spreadsheets1276Not measuredOnly Kimi K2.6 measured
Finance Agent (Vals AI)44.9%38.2%Kimi K2.6
Tax Agent Bench (Vals AI)12.4%10.5%Kimi K2.6
Legal Research Bench (Vals AI)15.9%16.4%Qwen3.7 Plus
Excel Modeling Benchmark (Vals AI)57.9%49.3%Kimi K2.6
τ²-Bench Telecom95.9%93.0%Kimi K2.6
OSWorld 2.04.6%2.8%Kimi K2.6
Vending-Bench 2$6,205Not measuredOnly Kimi K2.6 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
GPQA Diamond89.1%Not measuredOnly Kimi K2.6 measured
MMMU Pro (Vals AI)86.3%Not measuredOnly Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)91.1%90.0%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)37.5%35.6%Kimi K2.6
GPQA Diamond (Epoch AI run)90.8%87.9%Kimi K2.6
Chess puzzles20.0%Not measuredOnly Kimi K2.6 measured
Mystery game puzzles18.0%17.0%Kimi K2.6
EBR-bench2.4%Not measuredOnly Kimi K2.6 measured
LMArena Text: hard prompts14701460Kimi K2.6
LMArena Text: expert14911466Kimi K2.6
LMArena Text: hard prompts in English14711460Kimi K2.6
LMArena Vision: diagrams12981292Kimi K2.6
LMArena Vision: homework13101295Kimi K2.6
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
OTIS Mock AIME96.1%93.3%Kimi K2.6
FrontierMath, tiers 1 to 357.2%34.4%Kimi K2.6
FrontierMath, tier 425.6%Not measuredOnly Kimi K2.6 measured
ProofBench16.0%Not measuredOnly Kimi K2.6 measured
LMArena Text: math14741467Kimi K2.6
LMArena Text: mathematical work14801470Kimi K2.6
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
MMLU Pro87.6%Not measuredOnly Kimi K2.6 measured
LegalBench (Vals AI)84.7%Not measuredOnly Kimi K2.6 measured
CaseLaw (Vals AI)61.2%Not measuredOnly Kimi K2.6 measured
CorpFin (Vals AI)66.7%Not measuredOnly Kimi K2.6 measured
TaxEval (Vals AI)74.7%Not measuredOnly Kimi K2.6 measured
MortgageTax (Vals AI)65.8%66.2%Qwen3.7 Plus
MedCode (Vals AI)40.1%Not measuredOnly Kimi K2.6 measured
SimpleQA Verified34.9%Not measuredOnly Kimi K2.6 measured
LMArena Text: science14681464Kimi K2.6
LMArena Text: medicine and healthcare14571464Qwen3.7 Plus
LMArena Text: legal and government14621451Kimi K2.6
LMArena Text: business and finance14451435Kimi K2.6
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
Design Arena: websites12691269Tie
Design Arena: UI components12661261Kimi K2.6
Design Arena: game dev12511262Qwen3.7 Plus
Design Arena: data viz12491276Qwen3.7 Plus
Design Arena: 3D12681239Kimi K2.6
Design Arena: all code categories12721269Kimi K2.6
Design Arena: SVG11811208Qwen3.7 Plus
Design Arena: ASCII art11651143Kimi K2.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index228
General benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 PlusLeader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Kimi K2.6 measured
SAGE (Vals AI)50.2%39.3%Kimi K2.6
MedScribe (Vals AI)78.2%Not measuredOnly Kimi K2.6 measured
Vals Multimodal Index56.4%53.9%Kimi K2.6
IFBench76.0%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)81.0%73.0%Kimi K2.6
DTBench90.9%84.0%Kimi K2.6
LMCA37.3%37.6%Qwen3.7 Plus
Furniture assembly21.7%Not measuredOnly Kimi K2.6 measured
ExploitBench18.4%Not measuredOnly Kimi K2.6 measured
LMArena Text14551454Kimi K2.6
LMArena Text: instruction following14511439Kimi K2.6
LMArena Text: creative writing14341438Qwen3.7 Plus
LMArena Vision12821278Kimi K2.6
LMArena Text: English14601458Kimi K2.6
LMArena Text: non-English14461445Kimi K2.6
LMArena Text: Chinese15201509Kimi K2.6
LMArena Text: German14511471Qwen3.7 Plus
LMArena Text: Japanese14431412Kimi K2.6
LMArena Text: Korean14271413Kimi K2.6
LMArena Text: French14711472Qwen3.7 Plus
LMArena Text: Spanish14641457Kimi K2.6
LMArena Text: Russian14461457Qwen3.7 Plus
LMArena Text: Polish14381449Qwen3.7 Plus
LMArena Text: multi-turn14531459Qwen3.7 Plus
LMArena Text: longer queries14681454Kimi K2.6
LMArena Text: writing and language14391437Kimi K2.6
LMArena Text: entertainment and media14281422Kimi K2.6
LMArena Vision: English12871280Kimi K2.6
LMArena Vision: Chinese13461332Kimi K2.6
LMArena Vision: reading text12911288Kimi K2.6
LMArena Vision: humor12801261Kimi K2.6
LMArena Vision: creative writing12731258Kimi K2.6
LMArena Document14511444Kimi K2.6
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.6 and Qwen3.7 Plus
BenchmarkKimi K2.6Qwen3.7 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 K2.6$0.0029Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Kimi K2.6$0.059Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Kimi K2.6$0.230Fits 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 K2.6 and Qwen3.7 Plus
SpecificationMoonshotAI Kimi K2.6Qwen3.7 Plus
MakerMoonshot AIQwen
WeightsOpen weightsNo public weights listed
ReleasedApril 20, 2026June 3, 2026
Context window262K1M
Input $/Mtok$0.95$0.32
Output $/Mtok$4.00$1.28
Coding index52.133.2
Independent measurements behind it32
Cost per solved task$0.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.6 better than Qwen3.7 Plus for coding?

Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 3.1x cheaper ($1.28 vs $4.00 per million) and a larger context window (1M against 262K tokens).

Which is cheaper, Kimi K2.6 or Qwen3.7 Plus?

Kimi K2.6 costs $0.95 per million input tokens and $4.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for Kimi K2.6 only.

Which has the bigger context window, Kimi K2.6 or Qwen3.7 Plus?

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

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

73 benchmarks have a result for both models as of October 21, 2026. Kimi K2.6's coding index rests on 3 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/kimi-k2-6-vs-qwen3-7-plus" title="Kimi K2.6 vs Qwen3.7 Plus, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/kimi-k2-6-vs-qwen3-7-plus">LLMBenchmark.ai, Kimi K2.6 vs Qwen3.7 Plus</a></p>