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DeepSeek V4.1 Flash vs Kimi K2.6

DeepSeek V4.1 Flash leads Kimi K2.6 on coding, 62.5 to 52.1 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 5.1x less per output token ($0.78 vs $4.00 per million). Updated October 21, 2026; 78 benchmarks have a result for both.

Replace DeepSeek V4.1 Flash Replace Kimi K2.6
DeepSeek V4.1 FlashDeepSeek
Coding
62.5
Overall
62.4
Output $/M
$0.78
60
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
18
vs boards won of 78 shared

DeepSeek V4.1 Flash or Kimi K2.6: which to pick

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 52.1 for Kimi K2.6.

Pick Kimi K2.6 for work measured by ALE-Bench or AA Intelligence Index, where it leads.

Model ADeepSeek V4.1 FlashDeepSeek62.5/1005 independent benchmarksNo cost per solved taskModel BKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved task
Shared results
78
DeepSeek V4.1 Flash only
23
Kimi K2.6 only
31
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 V4.1 Flash 62.5 from 5 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Coding, 12.9 points apart on average over 12 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4.1 Flash 84.7% against Kimi K2.6 37.9%, 46.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash $0.78 against Kimi K2.6 $4.00 per million output tokens, 5.1x apart.
Context window
DeepSeek V4.1 Flash 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 V4.1 FlashBarsKimi K2.6Ties
Coding111
Intelligence11
Agentic work31
Reasoning63
Math60
Knowledge52
Web design80
General2010
All shared boards6018
CodingLike-for-likeSix of these boards feed the Vibe Coding Index111
Coding benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi K2.6Leader
LiveBench coding90.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev16181509DeepSeek V4.1 Flash
AA Coding IndexNot measured61.8Only Kimi K2.6 measured
LiveCodeBench (Vals AI)Not measured86.8%Only Kimi K2.6 measured
SWE-bench Verified (Vals AI)Not measured76.2%Only Kimi K2.6 measured
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)84.7%37.9%DeepSeek V4.1 Flash
Code migration (Vals AI)45.6%27.8%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.5%0.0%DeepSeek V4.1 Flash
IOI (Vals AI)40.3%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)74.5%53.6%DeepSeek V4.1 Flash
SWE-bench Multimodal (Vals AI)46.5%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.4%Not measuredOnly DeepSeek V4.1 Flash measured
SkillsBench (Vals AI)69.8%Not measuredOnly DeepSeek V4.1 Flash measured
CyberBench (Vals AI)73.7%Not measuredOnly DeepSeek V4.1 Flash measured
SciCode51.9%51.5%DeepSeek V4.1 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Kimi K2.6 measured
FrontierCode43.9%Not measuredOnly DeepSeek V4.1 Flash measured
WeirdMLNot measured55.9%Only Kimi K2.6 measured
ALE-Bench1092.31092.7Kimi K2.6
LMArena Text: coding15021489DeepSeek V4.1 Flash
LMArena Text: software and IT14961484DeepSeek V4.1 Flash
LMArena WebDev: React16281505DeepSeek V4.1 Flash
LMArena WebDev: HTML16121485DeepSeek V4.1 Flash
LMArena WebDev: from an image16061521DeepSeek V4.1 Flash
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi K2.6Leader
AA Intelligence Index24.727.0Kimi K2.6
Epoch Capabilities Index155.9150.9DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index31
Agentic work benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi 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 measured1157Only Kimi K2.6 measured
Design Arena: agents building Android appsNot measured1160Only 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
LiveBench research86.8%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench browser84.0%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench long agentic40.1%Not measuredOnly DeepSeek V4.1 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly DeepSeek V4.1 Flash measured
Finance Agent (Vals AI)53.5%44.9%DeepSeek V4.1 Flash
Tax Agent Bench (Vals AI)26.6%12.4%DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)41.4%15.9%DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)57.2%57.9%Kimi K2.6
BioMysteryBench (Vals AI)67.8%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly DeepSeek V4.1 Flash measured
Vals Science Index29.6%Not measuredOnly DeepSeek V4.1 Flash measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.6 measured
APEX-Agents39.5%Not measuredOnly DeepSeek V4.1 Flash 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 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
Reasoning benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi K2.6Leader
GPQA DiamondNot measured89.1%Only Kimi K2.6 measured
LiveBench reasoning86.7%Not measuredOnly DeepSeek V4.1 Flash measured
MysteryMechanism (Vals AI)21.2%Not measuredOnly DeepSeek V4.1 Flash 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)39.2%37.5%DeepSeek V4.1 Flash
GPQA Diamond (Epoch AI run)89.8%90.8%Kimi K2.6
ARC-AGI94.5%Not measuredOnly DeepSeek V4.1 Flash measured
ARC-AGI-272.9%Not measuredOnly DeepSeek V4.1 Flash measured
Chess puzzles48.0%20.0%DeepSeek V4.1 Flash
Mystery game puzzles43.0%18.0%DeepSeek V4.1 Flash
EBR-benchNot measured2.4%Only Kimi K2.6 measured
LMArena Text: hard prompts14831470DeepSeek V4.1 Flash
LMArena Text: expert15011491DeepSeek V4.1 Flash
LMArena Text: hard prompts in English14881471DeepSeek V4.1 Flash
LMArena Vision: diagrams12971298Kimi K2.6
LMArena Vision: homework13071310Kimi K2.6
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi K2.6Leader
OTIS Mock AIME98.3%96.1%DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 367.4%57.2%DeepSeek V4.1 Flash
FrontierMath, tier 426.8%25.6%DeepSeek V4.1 Flash
ProofBench54.0%16.0%DeepSeek V4.1 Flash
LMArena Text: math14781474DeepSeek V4.1 Flash
LMArena Text: mathematical work14851480DeepSeek V4.1 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi K2.6Leader
MMLU ProNot measured87.6%Only Kimi K2.6 measured
LegalBench (Vals AI)83.3%84.7%Kimi K2.6
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)41.2%40.1%DeepSeek V4.1 Flash
SimpleQA Verified42.9%34.9%DeepSeek V4.1 Flash
LMArena Text: science14691468DeepSeek V4.1 Flash
LMArena Text: medicine and healthcare14841457DeepSeek V4.1 Flash
LMArena Text: legal and government14431462Kimi K2.6
LMArena Text: business and finance14611445DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi K2.6Leader
Design Arena: websites13091269DeepSeek V4.1 Flash
Design Arena: UI components13151266DeepSeek V4.1 Flash
Design Arena: game dev13301251DeepSeek V4.1 Flash
Design Arena: data viz12901249DeepSeek V4.1 Flash
Design Arena: 3D13561268DeepSeek V4.1 Flash
Design Arena: all code categories13201272DeepSeek V4.1 Flash
Design Arena: SVG12441181DeepSeek V4.1 Flash
Design Arena: ASCII art12651165DeepSeek V4.1 Flash
LiveBench design79.2%Not measuredOnly DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index2010
General benchmarks for DeepSeek V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi K2.6Leader
LiveBench data analysis79.3%Not measuredOnly DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)64.3%56.6%DeepSeek V4.1 Flash
SAGE (Vals AI)47.9%50.2%Kimi K2.6
MedScribe (Vals AI)85.5%78.2%DeepSeek V4.1 Flash
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBenchNot measured76.0%Only Kimi K2.6 measured
Long context reasoning (AA-LCR)84.0%81.0%DeepSeek V4.1 Flash
DTBench89.9%90.9%Kimi K2.6
LMCA47.0%37.3%DeepSeek V4.1 Flash
Surface Evolver Bench46.3%Not measuredOnly DeepSeek V4.1 Flash measured
Furniture assembly34.2%21.7%DeepSeek V4.1 Flash
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14641455DeepSeek V4.1 Flash
LMArena Text: instruction following14731451DeepSeek V4.1 Flash
LMArena Text: creative writing14371434DeepSeek V4.1 Flash
LMArena Vision12781282Kimi K2.6
LMArena Text: English14731460DeepSeek V4.1 Flash
LMArena Text: non-English14491446DeepSeek V4.1 Flash
LMArena Text: Chinese15011520Kimi K2.6
LMArena Text: German14701451DeepSeek V4.1 Flash
LMArena Text: Japanese14321443Kimi K2.6
LMArena Text: Korean14361427DeepSeek V4.1 Flash
LMArena Text: French14651471Kimi K2.6
LMArena Text: Spanish14591464Kimi K2.6
LMArena Text: Russian14671446DeepSeek V4.1 Flash
LMArena Text: Polish14571438DeepSeek V4.1 Flash
LMArena Text: multi-turn14611453DeepSeek V4.1 Flash
LMArena Text: longer queries14731468DeepSeek V4.1 Flash
LMArena Text: writing and language14501439DeepSeek V4.1 Flash
LMArena Text: entertainment and media14451428DeepSeek V4.1 Flash
LMArena Vision: English12881287DeepSeek V4.1 Flash
LMArena Vision: Chinese13271346Kimi K2.6
LMArena Vision: reading text12821291Kimi K2.6
LMArena Vision: humor12601280Kimi K2.6
LMArena Vision: creative writing12751273DeepSeek V4.1 Flash
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 V4.1 Flash and Kimi K2.6
BenchmarkDeepSeek V4.1 FlashKimi 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 V4.1 Flash$0.0006Fits in one request
Kimi K2.6$0.0029Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash$0.013Fits in one request
Kimi K2.6$0.059Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash$0.050Fits in one request
Kimi K2.6$0.230Fits in one request

DeepSeek V4.1 Flash 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 V4.1 Flash and Kimi K2.6
SpecificationDeepSeek V4.1 FlashMoonshotAI Kimi K2.6
MakerDeepSeekMoonshot AI
WeightsOpen weightsOpen weights
ReleasedSeptember 10, 2026April 20, 2026
Context window1.05M262K
Input $/Mtok$0.21$0.95
Output $/Mtok$0.78$4.00
Coding index62.552.1
Independent measurements behind it53
Cost per solved taskNot computable$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than Kimi K2.6 for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 52.1 for Kimi K2.6. Pick Kimi K2.6 for work measured by ALE-Bench or AA Intelligence Index, where it leads.

Which is cheaper, DeepSeek V4.1 Flash or Kimi K2.6?

DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.78 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 V4.1 Flash or Kimi K2.6?

DeepSeek V4.1 Flash, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4.1 Flash vs Kimi K2.6 comparison based on?

78 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 5 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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