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DeepSeek V4 Flash 0423 vs Kimi K2.6

Kimi K2.6 leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 27.0 to 24.4, and DeepSeek V4 Flash 0423 costs 14.3x less per output token ($0.28 vs $4.00 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Kimi K2.6
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
4
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
43
vs boards won of 47 shared

DeepSeek V4 Flash 0423 or Kimi K2.6: which to pick

Only Kimi K2.6 has a coding score, 52.1 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.

Pick DeepSeek V4 Flash 0423 for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved task
Shared results
47
DeepSeek V4 Flash 0423 only
2
Kimi K2.6 only
62
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 V4 Flash 0423 not benchmarked, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Coding, 10.0 points apart on average over 8 shared benchmarks.
Widest single gap
Design Arena: data viz: DeepSeek V4 Flash 0423 1127 against Kimi K2.6 1249, 15.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Kimi K2.6 $4.00 per million output tokens, 14.3x apart.
Context window
DeepSeek V4 Flash 0423 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 Flash 0423BarsKimi K2.6Ties
Coding35
Intelligence02
Agentic work10
Reasoning03
Math02
Knowledge04
Web design08
General019
All shared boards443
CodingLike-for-likeSix of these boards feed the Vibe Coding Index35
Coding benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi K2.6Leader
LMArena WebDev15821509DeepSeek V4 Flash 0423
AA Coding Index52.061.8Kimi K2.6
LiveCodeBench (Vals AI)Not measured86.8%Only Kimi K2.6 measured
SWE-bench Verified (Vals AI)Not measured76.2%Only Kimi K2.6 measured
Vibe Code Bench (Vals AI)Not measured37.9%Only Kimi K2.6 measured
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
SciCodeNot measured51.5%Only Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Kimi K2.6 measured
WeirdML45.6%55.9%Kimi K2.6
ALE-Bench678.21092.7Kimi K2.6
LMArena Text: coding14571489Kimi K2.6
LMArena Text: software and IT14531484Kimi K2.6
LMArena WebDev: React15851505DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581485DeepSeek V4 Flash 0423
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi K2.6Leader
AA Intelligence Index24.427.0Kimi K2.6
Epoch Capabilities Index146.1150.9Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi K2.6Leader
AA Agentic Index26.320.5DeepSeek V4 Flash 0423
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 TelecomNot measured95.9%Only Kimi K2.6 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 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi K2.6Leader
GPQA DiamondNot measured89.1%Only Kimi K2.6 measured
MMMU Pro (Vals AI)Not measured86.3%Only Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)Not measured91.1%Only Kimi K2.6 measured
Humanity's Last Exam (Artificial Analysis run)Not measured37.5%Only Kimi K2.6 measured
GPQA Diamond (Epoch AI run)Not measured90.8%Only Kimi K2.6 measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 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 prompts14441470Kimi K2.6
LMArena Text: expert14411491Kimi K2.6
LMArena Text: hard prompts in English14491471Kimi K2.6
LMArena Vision: diagramsNot measured1298Only Kimi K2.6 measured
LMArena Vision: homeworkNot measured1310Only Kimi K2.6 measured
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 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 V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi K2.6Leader
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: math14261474Kimi K2.6
LMArena Text: mathematical work14321480Kimi K2.6
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi K2.6Leader
MMLU ProNot measured87.6%Only Kimi K2.6 measured
LegalBench (Vals AI)Not measured84.7%Only Kimi K2.6 measured
CaseLaw (Vals AI)Not measured61.2%Only Kimi K2.6 measured
CorpFin (Vals AI)Not measured66.7%Only Kimi K2.6 measured
TaxEval (Vals AI)Not measured74.7%Only Kimi K2.6 measured
MortgageTax (Vals AI)Not measured65.8%Only Kimi K2.6 measured
MedCode (Vals AI)Not measured40.1%Only Kimi K2.6 measured
SimpleQA VerifiedNot measured34.9%Only Kimi K2.6 measured
LMArena Text: science14461468Kimi K2.6
LMArena Text: medicine and healthcare14481457Kimi K2.6
LMArena Text: legal and government14391462Kimi K2.6
LMArena Text: business and finance14251445Kimi 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 index08
Web design benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi K2.6Leader
Design Arena: websites12071268Kimi K2.6
Design Arena: UI components11621263Kimi K2.6
Design Arena: game dev11961250Kimi K2.6
Design Arena: data viz11271249Kimi K2.6
Design Arena: 3D11881267Kimi K2.6
Design Arena: all code categories12051271Kimi K2.6
Design Arena: SVG11551181Kimi K2.6
Design Arena: ASCII art11091165Kimi K2.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi 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
IFBenchNot measured76.0%Only Kimi K2.6 measured
Long context reasoning (AA-LCR)Not measured81.0%Only Kimi K2.6 measured
DTBench86.4%90.9%Kimi K2.6
LMCA35.9%37.3%Kimi K2.6
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14321455Kimi K2.6
LMArena Text: instruction following14211451Kimi K2.6
LMArena Text: creative writing14031434Kimi K2.6
LMArena VisionNot measured1282Only Kimi K2.6 measured
LMArena Text: English14411460Kimi K2.6
LMArena Text: non-English14191446Kimi K2.6
LMArena Text: Chinese14631520Kimi K2.6
LMArena Text: German14191451Kimi K2.6
LMArena Text: Japanese13891443Kimi K2.6
LMArena Text: Korean13831427Kimi K2.6
LMArena Text: French14391471Kimi K2.6
LMArena Text: Spanish14361464Kimi K2.6
LMArena Text: Russian14271446Kimi K2.6
LMArena Text: Polish14361438Kimi K2.6
LMArena Text: multi-turn14491453Kimi K2.6
LMArena Text: longer queries14341468Kimi K2.6
LMArena Text: writing and language14101439Kimi K2.6
LMArena Text: entertainment and media14001428Kimi 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 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0423 and Kimi K2.6
BenchmarkDeepSeek V4 Flash 0423Kimi 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 Flash 0423$0.0003Fits in one request
Kimi K2.6$0.0029Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Kimi K2.6$0.059Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Kimi K2.6$0.230Fits in one request

DeepSeek V4 Flash 0423 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 Flash 0423 and Kimi K2.6
SpecificationDeepSeek V4 Flash 0423MoonshotAI Kimi K2.6
MakerDeepSeekMoonshot AI
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026April 20, 2026
Context window1.05M262K
Input $/Mtok$0.14$0.95
Output $/Mtok$0.28$4.00
Coding indexNot benchmarked52.1
Independent measurements behind it13
Cost per solved taskNot computable$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Kimi K2.6 for coding?

Only Kimi K2.6 has a coding score, 52.1 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Kimi K2.6?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Cost per solved task is known for Kimi K2.6 only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Kimi K2.6?

DeepSeek V4 Flash 0423, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Kimi K2.6 comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark 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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