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DeepSeek V3.2 vs Kimi K2.6

Kimi K2.6 leads DeepSeek V3.2 on coding, 52.1 to 30.0 on the Vibe Coding Index, and DeepSeek V3.2 costs 4.5x less per output token ($0.88 vs $4.00 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace Kimi K2.6
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
0
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
60
vs boards won of 60 shared

DeepSeek V3.2 or Kimi K2.6: which to pick

Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 30.0 for DeepSeek V3.2.

Pick DeepSeek V3.2 for output tokens 4.5x cheaper ($0.88 vs $4.00 per million).

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved task
Shared results
60
DeepSeek V3.2 only
15
Kimi K2.6 only
49
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
DeepSeek V3.2 30.0 from 3 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Agentic work, 18.8 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V3.2 5.1% against Kimi K2.6 37.9%, 32.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against Kimi K2.6 $4.00 per million output tokens, 4.5x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Kimi K2.6 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
CategoryDeepSeek V3.2BarsKimi K2.6Ties
Coding010
Intelligence02
Agentic work02
Reasoning06
Math02
Knowledge09
Web design08
General021
All shared boards060
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev13621509Kimi K2.6
AA Coding Index44.261.8Kimi K2.6
LiveCodeBench (Vals AI)80.7%86.8%Kimi K2.6
SWE-bench Verified (Vals AI)67.6%76.2%Kimi K2.6
Vibe Code Bench (Vals AI)5.1%37.9%Kimi K2.6
Code migration (Vals AI)Not measured27.8%Only Kimi K2.6 measured
ProgramBench (Vals AI)Not measured0.0%Only Kimi K2.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only Kimi K2.6 measured
LiveCodeBench (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SciCodeNot measured51.5%Only Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)35.6%43.9%Kimi K2.6
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
WeirdMLNot measured55.9%Only Kimi K2.6 measured
ALE-BenchNot measured1092.7Only Kimi K2.6 measured
LMArena Text: coding14531489Kimi K2.6
LMArena Text: software and IT14491484Kimi K2.6
LMArena WebDev: React13501505Kimi K2.6
LMArena WebDev: HTML13711485Kimi K2.6
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
AA Intelligence Index21.527.0Kimi K2.6
Epoch Capabilities Index146.1150.9Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
AA Agentic IndexNot measured20.5Only Kimi K2.6 measured
Design Arena: agents building web appsNot measured1268Only Kimi K2.6 measured
Design Arena: agents building full-stack appsNot measured1155Only Kimi K2.6 measured
Design Arena: agents building mobile appsNot measured1156Only Kimi K2.6 measured
Design Arena: agents building Android appsNot measured1161Only Kimi K2.6 measured
Design Arena: agents building Godot gamesNot measured1120Only Kimi K2.6 measured
Design Arena: agents building gamesNot measured1141Only Kimi K2.6 measured
Design Arena: HTML slidesNot measured1135Only Kimi K2.6 measured
Design Arena: PowerPoint slidesNot measured1103Only Kimi K2.6 measured
Design Arena: spreadsheetsNot measured1276Only Kimi K2.6 measured
Finance Agent (Vals AI)Not measured44.9%Only Kimi K2.6 measured
Tax Agent Bench (Vals AI)Not measured12.4%Only Kimi K2.6 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.6 measured
Excel Modeling Benchmark (Vals AI)Not measured57.9%Only Kimi K2.6 measured
τ²-Bench Telecom90.6%95.9%Kimi K2.6
APEX-Agents21.3%Not measuredOnly DeepSeek V3.2 measured
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2$1,034$6,205Kimi K2.6
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
GPQA Diamond80.3%89.1%Kimi K2.6
MMMU Pro (Vals AI)Not measured86.3%Only Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)84.0%91.1%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)24.6%37.5%Kimi K2.6
GPQA Diamond (Epoch AI run)Not measured90.8%Only Kimi K2.6 measured
ARC-AGI57.0%Not measuredOnly DeepSeek V3.2 measured
ARC-AGI-24.0%Not measuredOnly DeepSeek V3.2 measured
Chess puzzlesNot measured20.0%Only Kimi K2.6 measured
Mystery game puzzlesNot measured18.0%Only Kimi K2.6 measured
EBR-benchNot measured2.4%Only Kimi K2.6 measured
LMArena Text: hard prompts14341470Kimi K2.6
LMArena Text: expert14361491Kimi K2.6
LMArena Text: hard prompts in English14461471Kimi K2.6
LMArena Vision: diagramsNot measured1298Only Kimi K2.6 measured
LMArena Vision: homeworkNot measured1310Only Kimi K2.6 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.0Not measuredOnly DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)92.0%Not measuredOnly DeepSeek V3.2 measured
OTIS Mock AIMENot measured96.1%Only Kimi K2.6 measured
FrontierMath, tiers 1 to 3Not measured57.2%Only Kimi K2.6 measured
FrontierMath, tier 4Not measured25.6%Only Kimi K2.6 measured
ProofBenchNot measured16.0%Only Kimi K2.6 measured
LMArena Text: math14351474Kimi K2.6
LMArena Text: mathematical work14401480Kimi K2.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
MMLU Pro84.9%87.6%Kimi K2.6
LegalBench (Vals AI)76.1%84.7%Kimi K2.6
CaseLaw (Vals AI)55.4%61.2%Kimi K2.6
CorpFin (Vals AI)51.0%66.7%Kimi K2.6
TaxEval (Vals AI)68.2%74.7%Kimi K2.6
MortgageTax (Vals AI)Not measured65.8%Only Kimi K2.6 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MedCode (Vals AI)Not measured40.1%Only Kimi K2.6 measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SimpleQA VerifiedNot measured34.9%Only Kimi K2.6 measured
LMArena Text: science14461468Kimi K2.6
LMArena Text: medicine and healthcare14401457Kimi K2.6
LMArena Text: legal and government14251462Kimi K2.6
LMArena Text: business and finance14101445Kimi K2.6
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
Design Arena: websites11751268Kimi K2.6
Design Arena: UI components11461263Kimi K2.6
Design Arena: game dev11311250Kimi K2.6
Design Arena: data viz11581249Kimi K2.6
Design Arena: 3D11321267Kimi K2.6
Design Arena: all code categories11631271Kimi K2.6
Design Arena: SVG10321181Kimi K2.6
Design Arena: ASCII art10831165Kimi K2.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
Public Benefits Bench (Vals AI)Not measured56.6%Only Kimi K2.6 measured
SAGE (Vals AI)Not measured50.2%Only Kimi K2.6 measured
MedScribe (Vals AI)Not measured78.2%Only Kimi K2.6 measured
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBench60.7%76.0%Kimi K2.6
Long context reasoning (AA-LCR)73.3%81.0%Kimi K2.6
DTBench85.6%90.9%Kimi K2.6
LMCA28.8%37.3%Kimi K2.6
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251455Kimi K2.6
LMArena Text: instruction following14131451Kimi K2.6
LMArena Text: creative writing14001434Kimi K2.6
LMArena VisionNot measured1282Only Kimi K2.6 measured
LMArena Text: English14391460Kimi K2.6
LMArena Text: non-English14091446Kimi K2.6
LMArena Text: Chinese14551520Kimi K2.6
LMArena Text: German14131451Kimi K2.6
LMArena Text: Japanese13741443Kimi K2.6
LMArena Text: Korean13701427Kimi K2.6
LMArena Text: French14291471Kimi K2.6
LMArena Text: Spanish14241464Kimi K2.6
LMArena Text: Russian14241446Kimi K2.6
LMArena Text: Polish14191438Kimi K2.6
LMArena Text: multi-turn14271453Kimi K2.6
LMArena Text: longer queries14281468Kimi K2.6
LMArena Text: writing and language14071439Kimi K2.6
LMArena Text: entertainment and media13951428Kimi K2.6
LMArena Vision: EnglishNot measured1287Only Kimi K2.6 measured
LMArena Vision: ChineseNot measured1346Only Kimi K2.6 measured
LMArena Vision: reading textNot measured1291Only Kimi K2.6 measured
LMArena Vision: humorNot measured1280Only Kimi K2.6 measured
LMArena Vision: creative writingNot measured1273Only Kimi K2.6 measured
LMArena DocumentNot measured1451Only Kimi K2.6 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 and Kimi K2.6
BenchmarkDeepSeek V3.2Kimi K2.6Leader
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

DeepSeek V3.2$0.0007Fits in one request
Kimi K2.6$0.0029Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits in one request
Kimi K2.6$0.059Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.067Exceeds the context window
Kimi K2.6$0.230Fits in one request

DeepSeek V3.2 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 DeepSeek V3.2 and Kimi K2.6
SpecificationDeepSeek V3.2MoonshotAI Kimi K2.6
MakerDeepSeekMoonshot AI
WeightsOpen weightsOpen weights
ReleasedDecember 1, 2025April 20, 2026
Context window164K262K
Input $/Mtok$0.29$0.95
Output $/Mtok$0.88$4.00
Coding index30.052.1
Independent measurements behind it33
Cost per solved task$0.99$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than Kimi K2.6 for coding?

Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 30.0 for DeepSeek V3.2. Pick DeepSeek V3.2 for output tokens 4.5x cheaper ($0.88 vs $4.00 per million).

Which is cheaper, DeepSeek V3.2 or Kimi K2.6?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, DeepSeek V3.2 costs $0.99 and Kimi K2.6 $0.35.

Which has the bigger context window, DeepSeek V3.2 or Kimi K2.6?

Kimi K2.6, with 262K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 vs Kimi K2.6 comparison based on?

60 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v3-2-vs-kimi-k2-6">LLMBenchmark.ai, DeepSeek V3.2 vs Kimi K2.6</a></p>