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Grok 4.20 vs Kimi K2.6

Kimi K2.6 leads Grok 4.20 on coding, 52.1 to 33.3 on the Vibe Coding Index, and Grok 4.20 costs 1.6x less per output token ($2.50 vs $4.00 per million). Updated October 21, 2026; 47 benchmarks have a result for both.

Grok 4.20xAI
Coding
33.3
Overall
41.0
Output $/M
$2.50
4
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
42
vs boards won of 47 shared, 1 tied

Grok 4.20 or Kimi K2.6: which to pick

Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 33.3 for Grok 4.20.

Pick Grok 4.20 for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a larger context window (2M against 262K tokens).

Shared results
47
Grok 4.20 only
8
Kimi K2.6 only
62
Like-for-like categories
7 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
Grok 4.20 33.3 from 2 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Coding, 12.4 points apart on average over 7 shared benchmarks.
Widest single gap
Excel Modeling Benchmark (Vals AI): Grok 4.20 11.7% against Kimi K2.6 57.9%, 46.1 points apart on a 0 to 100 scale.
Output price
Grok 4.20 $2.50 against Kimi K2.6 $4.00 per million output tokens, 1.6x apart.
Context window
Grok 4.20 takes 2M 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
CategoryGrok 4.20BarsKimi K2.6Ties
Coding07
Intelligence11
Agentic work012
Reasoning031 tie
Knowledge07
Web design17
General25
All shared boards4421 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
LMArena WebDevNot measured1509Only Kimi K2.6 measured
AA Coding IndexNot measured61.8Only Kimi K2.6 measured
LiveCodeBench (Vals AI)84.3%86.8%Kimi K2.6
SWE-bench Verified (Vals AI)72.2%76.2%Kimi K2.6
Vibe Code Bench (Vals AI)4.1%37.9%Kimi K2.6
Code migration (Vals AI)0.3%27.8%Kimi K2.6
ProgramBench (Vals AI)Not measured0.0%Only Kimi K2.6 measured
Terminal-Bench 2.1 (Vals AI)44.2%53.6%Kimi K2.6
SciCodeNot measured51.5%Only Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%43.9%Kimi K2.6
Terminal-Bench57.3%Not measuredOnly Grok 4.20 measured
WeirdML52.3%55.9%Kimi K2.6
ALE-BenchNot measured1092.7Only Kimi K2.6 measured
LMArena Text: codingNot measured1489Only Kimi K2.6 measured
LMArena Text: software and ITNot measured1484Only Kimi K2.6 measured
LMArena WebDev: ReactNot measured1505Only Kimi K2.6 measured
LMArena WebDev: HTMLNot measured1485Only Kimi K2.6 measured
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
AA Intelligence Index25.727.0Kimi K2.6
Epoch Capabilities Index152.1150.9Grok 4.20
Agentic workLike-for-likePublic boards, shown as published, kept out of the index012
Agentic work benchmarks for Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
AA Agentic IndexNot measured20.5Only Kimi K2.6 measured
Design Arena: agents building web apps11441268Kimi K2.6
Design Arena: agents building full-stack apps10541155Kimi K2.6
Design Arena: agents building mobile apps10901157Kimi K2.6
Design Arena: agents building Android apps10521160Kimi K2.6
Design Arena: agents building Godot games10891120Kimi K2.6
Design Arena: agents building gamesNot measured1141Only Kimi K2.6 measured
Design Arena: HTML slides11801184Kimi K2.6
Design Arena: PowerPoint slidesNot measured1128Only Kimi K2.6 measured
Design Arena: spreadsheetsNot measured1276Only Kimi K2.6 measured
Finance Agent (Vals AI)28.5%44.9%Kimi K2.6
Tax Agent Bench (Vals AI)7.0%12.4%Kimi K2.6
Legal Research Bench (Vals AI)13.9%15.9%Kimi K2.6
Excel Modeling Benchmark (Vals AI)11.7%57.9%Kimi K2.6
τ²-Bench Telecom93.0%95.9%Kimi K2.6
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2$4,663$6,205Kimi K2.6
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 Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
GPQA Diamond88.6%89.1%Kimi K2.6
MMMU Pro (Vals AI)83.5%86.3%Kimi K2.6
GPQA Diamond (Artificial Analysis run)91.1%91.1%Tie
Humanity's Last Exam (Artificial Analysis run)34.5%37.5%Kimi K2.6
GPQA Diamond (Epoch AI run)Not measured90.8%Only Kimi K2.6 measured
ARC-AGI89.5%Not measuredOnly Grok 4.20 measured
ARC-AGI-265.1%Not measuredOnly Grok 4.20 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 promptsNot measured1470Only Kimi K2.6 measured
LMArena Text: expertNot measured1491Only Kimi K2.6 measured
LMArena Text: hard prompts in EnglishNot measured1471Only Kimi K2.6 measured
LMArena Vision: diagramsNot measured1298Only Kimi K2.6 measured
LMArena Vision: homeworkNot measured1310Only Kimi K2.6 measured
Kagi LLM Benchmark75.0%Not measuredOnly Grok 4.20 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
AIME96.5%Not measuredOnly Grok 4.20 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: mathNot measured1474Only Kimi K2.6 measured
LMArena Text: mathematical workNot measured1480Only Kimi K2.6 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
Knowledge benchmarks for Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
MMLU Pro86.3%87.6%Kimi K2.6
LegalBench (Vals AI)77.7%84.7%Kimi K2.6
CaseLaw (Vals AI)54.4%61.2%Kimi K2.6
CorpFin (Vals AI)63.7%66.7%Kimi K2.6
TaxEval (Vals AI)74.1%74.7%Kimi K2.6
MortgageTax (Vals AI)45.4%65.8%Kimi K2.6
MedQA (Vals AI)94.5%Not measuredOnly Grok 4.20 measured
MedCode (Vals AI)32.2%40.1%Kimi K2.6
SimpleQA VerifiedNot measured34.9%Only Kimi K2.6 measured
LMArena Text: scienceNot measured1468Only Kimi K2.6 measured
LMArena Text: medicine and healthcareNot measured1457Only Kimi K2.6 measured
LMArena Text: legal and governmentNot measured1462Only Kimi K2.6 measured
LMArena Text: business and financeNot measured1445Only Kimi K2.6 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
Design Arena: websites12291269Kimi K2.6
Design Arena: UI components11991266Kimi K2.6
Design Arena: game dev11921251Kimi K2.6
Design Arena: data viz12171249Kimi K2.6
Design Arena: 3D11931268Kimi K2.6
Design Arena: all code categories12211272Kimi K2.6
Design Arena: SVG11641181Kimi K2.6
Design Arena: ASCII art11741165Grok 4.20
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index25
General benchmarks for Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi K2.6Leader
Public Benefits Bench (Vals AI)Not measured56.6%Only Kimi K2.6 measured
SAGE (Vals AI)38.2%50.2%Kimi K2.6
MedScribe (Vals AI)63.4%78.2%Kimi K2.6
Vals Multimodal Index39.1%56.4%Kimi K2.6
IFBench81.2%76.0%Grok 4.20
Long context reasoning (AA-LCR)69.0%81.0%Kimi K2.6
DTBench90.1%90.9%Kimi K2.6
LMCA38.7%37.3%Grok 4.20
CL-bench22.2%Not measuredOnly Grok 4.20 measured
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
CL-bench Life11.9%Not measuredOnly Grok 4.20 measured
LMArena TextNot measured1455Only Kimi K2.6 measured
LMArena Text: instruction followingNot measured1451Only Kimi K2.6 measured
LMArena Text: creative writingNot measured1434Only Kimi K2.6 measured
LMArena VisionNot measured1282Only Kimi K2.6 measured
LMArena Text: EnglishNot measured1460Only Kimi K2.6 measured
LMArena Text: non-EnglishNot measured1446Only Kimi K2.6 measured
LMArena Text: ChineseNot measured1520Only Kimi K2.6 measured
LMArena Text: GermanNot measured1451Only Kimi K2.6 measured
LMArena Text: JapaneseNot measured1443Only Kimi K2.6 measured
LMArena Text: KoreanNot measured1427Only Kimi K2.6 measured
LMArena Text: FrenchNot measured1471Only Kimi K2.6 measured
LMArena Text: SpanishNot measured1464Only Kimi K2.6 measured
LMArena Text: RussianNot measured1446Only Kimi K2.6 measured
LMArena Text: PolishNot measured1438Only Kimi K2.6 measured
LMArena Text: multi-turnNot measured1453Only Kimi K2.6 measured
LMArena Text: longer queriesNot measured1468Only Kimi K2.6 measured
LMArena Text: writing and languageNot measured1439Only Kimi K2.6 measured
LMArena Text: entertainment and mediaNot measured1428Only Kimi K2.6 measured
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 Grok 4.20 and Kimi K2.6
BenchmarkGrok 4.20Kimi 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

Grok 4.20$0.0025Fits in one request
Kimi K2.6$0.0029Fits in one request

Grok 4.20 costs less

Repository review

50K input + 3K output tokens

Grok 4.20$0.070Fits in one request
Kimi K2.6$0.059Fits in one request

Kimi K2.6 costs less

Agent loop

200K input + 10K output tokens

Grok 4.20$0.275Fits in one request
Kimi K2.6$0.230Fits in one request

Kimi K2.6 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 Grok 4.20 and Kimi K2.6
SpecificationSpaceXAI Grok 4.20MoonshotAI Kimi K2.6
MakerxAIMoonshot AI
WeightsNo public weights listedOpen weights
ReleasedMarch 31, 2026April 20, 2026
Context window2M262K
Input $/Mtok$1.25$0.95
Output $/Mtok$2.50$4.00
Coding index33.352.1
Independent measurements behind it23
Cost per solved task$0.72$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok 4.20 better than Kimi K2.6 for coding?

Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 33.3 for Grok 4.20. Pick Grok 4.20 for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a larger context window (2M against 262K tokens).

Which is cheaper, Grok 4.20 or Kimi K2.6?

Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, Grok 4.20 costs $0.72 and Kimi K2.6 $0.35.

Which has the bigger context window, Grok 4.20 or Kimi K2.6?

Grok 4.20, with 2M tokens against 262K.

How many benchmarks is the Grok 4.20 vs Kimi K2.6 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. Grok 4.20's coding index rests on 2 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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