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DeepSeek V4 Pro 0813 vs Kimi K2.6

Updated October 21, 2026. 65 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Pro 0813 Replace Kimi K2.6
DeepSeek V4 Pro 0813DeepSeek
Coding
54.6
Overall
36.0
Output $/M
$1.98
37
Kimi K2.6Moonshot AI
Coding
44.2
Overall
27.0
Output $/M
$3.41
27
vs boards won of 65 shared, 1 tied

Decision reading

Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 44.2 for Kimi K2.6.

Pick Kimi K2.6 when what matters is SciCode or LMArena Text: coding, where it leads.

Model ADeepSeek V4 Pro 0813DeepSeek54.6/1001 independent benchmark$0.10 per solved taskModel BKimi K2.6Moonshot AI44.2/1001 independent benchmark$0.35 per solved task
Shared results
65
DeepSeek V4 Pro 0813 only
13
Kimi K2.6 only
44
Like-for-like categories
7 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
DeepSeek V4 Pro 0813 54.6 from 1 benchmark, Kimi K2.6 44.2 from 1 benchmark.
Widest category
Agentic work, 14.1 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against Kimi K2.6 37.9%, 44.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Kimi K2.6 $3.41 per million output tokens, 1.7x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M 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 V4 Pro 0813BarsKimi K2.6Ties
Coding1131 tie
Intelligence20
Agentic work41
Reasoning63
Math42
Knowledge28
General810
All shared boards37271 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index113
Coding benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
LMArena WebDev15821509DeepSeek V4 Pro 0813
AA Coding Index68.861.8DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)87.5%86.8%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)96.4%76.2%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%37.9%DeepSeek V4 Pro 0813
Code migration (Vals AI)41.5%27.8%DeepSeek V4 Pro 0813
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%53.6%DeepSeek V4 Pro 0813
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
SciCode51.0%51.5%Kimi K2.6
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Kimi K2.6 measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%55.9%DeepSeek V4 Pro 0813
ALE-Bench1403.21092.7DeepSeek V4 Pro 0813
LMArena Text: coding14691489Kimi K2.6
LMArena Text: software and IT14621484Kimi K2.6
LMArena WebDev: React15881505DeepSeek V4 Pro 0813
LMArena WebDev: HTML15661485DeepSeek V4 Pro 0813
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
AA Intelligence Index36.027.0DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6150.9DeepSeek V4 Pro 0813
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
AA Agentic Index41.320.5DeepSeek V4 Pro 0813
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 measured1166Only 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 measured1184Only Kimi K2.6 measured
Design Arena: PowerPoint slidesNot measured1128Only Kimi K2.6 measured
Design Arena: spreadsheetsNot measured1276Only Kimi K2.6 measured
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%44.9%DeepSeek V4 Pro 0813
Tax Agent Bench (Vals AI)26.8%12.4%DeepSeek V4 Pro 0813
Legal Research Bench (Vals AI)40.9%15.9%DeepSeek V4 Pro 0813
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%57.9%Kimi K2.6
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.6 measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2Not measured$6,205Only Kimi K2.6 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
GPQA Diamond92.4%89.1%DeepSeek V4 Pro 0813
MMMU Pro (Vals AI)Not measured86.3%Only Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)92.8%91.1%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%37.5%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%90.8%DeepSeek V4 Pro 0813
ARC-AGI90.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI-261.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Chess puzzles46.0%20.0%DeepSeek V4 Pro 0813
Mystery game puzzles43.0%18.0%DeepSeek V4 Pro 0813
EBR-benchNot measured2.4%Only Kimi K2.6 measured
LMArena Text: hard prompts14581470Kimi K2.6
LMArena Text: expert14591491Kimi K2.6
LMArena Text: hard prompts in English14631471Kimi 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 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
OTIS Mock AIME98.6%96.1%DeepSeek V4 Pro 0813
FrontierMath, tiers 1 to 364.6%57.2%DeepSeek V4 Pro 0813
FrontierMath, tier 426.8%25.6%DeepSeek V4 Pro 0813
ProofBench50.0%16.0%DeepSeek V4 Pro 0813
LMArena Text: math14411474Kimi K2.6
LMArena Text: mathematical work14431480Kimi K2.6
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
MMLU Pro87.0%87.6%Kimi K2.6
LegalBench (Vals AI)82.4%84.7%Kimi K2.6
CaseLaw (Vals AI)Not measured61.2%Only Kimi K2.6 measured
CorpFin (Vals AI)65.4%66.7%Kimi K2.6
TaxEval (Vals AI)73.1%74.7%Kimi K2.6
MortgageTax (Vals AI)Not measured65.8%Only Kimi K2.6 measured
MedCode (Vals AI)42.5%40.1%DeepSeek V4 Pro 0813
SimpleQA Verified52.9%34.9%DeepSeek V4 Pro 0813
LMArena Text: science14571468Kimi K2.6
LMArena Text: medicine and healthcare14461457Kimi K2.6
LMArena Text: legal and government14591462Kimi K2.6
LMArena Text: business and finance14421445Kimi K2.6
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
Design Arena: websitesNot measured1269Only Kimi K2.6 measured
Design Arena: UI componentsNot measured1266Only Kimi K2.6 measured
Design Arena: game devNot measured1251Only Kimi K2.6 measured
Design Arena: data vizNot measured1249Only Kimi K2.6 measured
Design Arena: 3DNot measured1268Only Kimi K2.6 measured
Design Arena: all code categoriesNot measured1272Only Kimi K2.6 measured
Design Arena: SVGNot measured1181Only Kimi K2.6 measured
Design Arena: ASCII artNot measured1164Only Kimi K2.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index810
General benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi K2.6Leader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
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)80.2%78.2%DeepSeek V4 Pro 0813
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBenchNot measured76.0%Only Kimi K2.6 measured
Long context reasoning (AA-LCR)80.3%81.0%Kimi K2.6
DTBench93.9%90.9%DeepSeek V4 Pro 0813
LMCA45.5%37.3%DeepSeek V4 Pro 0813
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14461455Kimi K2.6
LMArena Text: instruction following14481451Kimi K2.6
LMArena Text: creative writing14391434DeepSeek V4 Pro 0813
LMArena VisionNot measured1282Only Kimi K2.6 measured
LMArena Text: English14571460Kimi K2.6
LMArena Text: non-English14311446Kimi K2.6
LMArena Text: Chinese14811520Kimi K2.6
LMArena Text: GermanNot measured1451Only Kimi K2.6 measured
LMArena Text: JapaneseNot measured1443Only Kimi K2.6 measured
LMArena Text: Korean14491427DeepSeek V4 Pro 0813
LMArena Text: French14461471Kimi K2.6
LMArena Text: Spanish14351464Kimi K2.6
LMArena Text: Russian14481446DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1438Only Kimi K2.6 measured
LMArena Text: multi-turn14541453DeepSeek V4 Pro 0813
LMArena Text: longer queries14581468Kimi K2.6
LMArena Text: writing and language14431439DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241428Kimi 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 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and Kimi K2.6
BenchmarkDeepSeek V4 Pro 0813Kimi 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 V4 Pro 0813$0.0016Fits in one request
Kimi K2.6$0.0024Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
Kimi K2.6$0.043Fits in one request

DeepSeek V4 Pro 0813 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
Kimi K2.6$0.164Fits in one request

DeepSeek V4 Pro 0813 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 V4 Pro 0813 and Kimi K2.6
SpecificationDeepSeek V4 Pro 0813MoonshotAI Kimi K2.6
MakerDeepSeekMoonshot AI
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026April 20, 2026
Context window1.05M262K
Input $/Mtok$0.66$0.65
Output $/Mtok$1.98$3.41
Coding index54.644.2
Independent measurements behind it11
Cost per solved task$0.10$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Kimi K2.6 for coding?

Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 44.2 for Kimi K2.6. Pick Kimi K2.6 when what matters is SciCode or LMArena Text: coding, where it leads.

Which is cheaper, DeepSeek V4 Pro 0813 or Kimi K2.6?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Kimi K2.6 costs $0.65 and $3.41. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Kimi K2.6 $0.35.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Kimi K2.6?

DeepSeek V4 Pro 0813, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Kimi K2.6 comparison based on?

65 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0813's coding index rests on 1 independent benchmark and Kimi K2.6's on 1. Where only one model has a result, the page says so instead of naming a winner.

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