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GLM 4.6V vs Kimi K2.6

Kimi K2.6 leads GLM 4.6V on the Artificial Analysis Intelligence Index, 27.0 to 11.2, and GLM 4.6V costs 4.4x less per output token ($0.90 vs $4.00 per million). Updated October 21, 2026; 34 benchmarks have a result for both.

Replace GLM 4.6V Replace Kimi K2.6
GLM 4.6VZ.ai
Coding
No data
Overall
11.2
Output $/M
$0.90
0
Kimi K2.6Moonshot AI
Coding
52.1
Overall
27.0
Output $/M
$4.00
34
vs boards won of 34 shared

GLM 4.6V or Kimi K2.6: which to pick

Only Kimi K2.6 has a coding score, 52.1 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding.

Pick GLM 4.6V for output tokens 4.4x cheaper ($0.90 vs $4.00 per million).

Model AGLM 4.6VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved task
Shared results
34
GLM 4.6V only
4
Kimi K2.6 only
75
Like-for-like categories
6 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
GLM 4.6V not benchmarked, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Agentic work, 64.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.6V 31.6% against Kimi K2.6 95.9%, 64.3 points apart on a 0 to 100 scale.
Output price
GLM 4.6V $0.90 against Kimi K2.6 $4.00 per million output tokens, 4.4x apart.
Context window
GLM 4.6V takes 131K 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
CategoryGLM 4.6VBarsKimi K2.6Ties
Coding03
Intelligence01
Agentic work01
Reasoning07
Knowledge04
General018
All shared boards034
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi K2.6Leader
LMArena WebDevNot measured1509Only Kimi K2.6 measured
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
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
LiveCodeBench (Artificial Analysis run)41.1%Not measuredOnly GLM 4.6V measured
SciCodeNot measured51.5%Only Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)14.4%43.9%Kimi K2.6
WeirdMLNot measured55.9%Only Kimi K2.6 measured
ALE-BenchNot measured1092.7Only Kimi K2.6 measured
LMArena Text: coding13891489Kimi K2.6
LMArena Text: software and IT13911484Kimi K2.6
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 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi K2.6Leader
AA Intelligence Index11.227.0Kimi K2.6
Epoch Capabilities IndexNot measured150.9Only Kimi K2.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi 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
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 Telecom31.6%95.9%Kimi K2.6
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 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi 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)71.9%91.1%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)9.6%37.5%Kimi K2.6
GPQA Diamond (Epoch AI run)Not measured90.8%Only Kimi K2.6 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 prompts13671470Kimi K2.6
LMArena Text: expert13711491Kimi K2.6
LMArena Text: hard prompts in English13911471Kimi K2.6
LMArena Vision: diagrams11821298Kimi K2.6
LMArena Vision: homework11551310Kimi K2.6
Neither model has a result on the other 8 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi K2.6Leader
AA Math Index85.3Not measuredOnly GLM 4.6V measured
AIME 2025 (Artificial Analysis run)85.3%Not measuredOnly GLM 4.6V 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 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi 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
MMLU Pro (Artificial Analysis run)79.9%Not measuredOnly GLM 4.6V measured
SimpleQA VerifiedNot measured34.9%Only Kimi K2.6 measured
LMArena Text: science13891468Kimi K2.6
LMArena Text: medicine and healthcare13891457Kimi K2.6
LMArena Text: legal and government13931462Kimi K2.6
LMArena Text: business and finance13591445Kimi K2.6
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi 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 measured1165Only 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 index018
General benchmarks for GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi 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
IFBench30.1%76.0%Kimi K2.6
Long context reasoning (AA-LCR)48.7%81.0%Kimi K2.6
DTBenchNot measured90.9%Only Kimi K2.6 measured
LMCANot measured37.3%Only Kimi K2.6 measured
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text13761455Kimi K2.6
LMArena Text: instruction following13501451Kimi K2.6
LMArena Text: creative writing13471434Kimi K2.6
LMArena Vision11641282Kimi K2.6
LMArena Text: English13951460Kimi K2.6
LMArena Text: non-English13581446Kimi K2.6
LMArena Text: Chinese14251520Kimi K2.6
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: Russian13391446Kimi K2.6
LMArena Text: PolishNot measured1438Only Kimi K2.6 measured
LMArena Text: multi-turn13591453Kimi K2.6
LMArena Text: longer queries13571468Kimi K2.6
LMArena Text: writing and language13471439Kimi K2.6
LMArena Text: entertainment and media13431428Kimi K2.6
LMArena Vision: English11791287Kimi K2.6
LMArena Vision: Chinese12171346Kimi K2.6
LMArena Vision: reading text11711291Kimi K2.6
LMArena Vision: humorNot measured1280Only Kimi K2.6 measured
LMArena Vision: creative writing11131273Kimi K2.6
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 GLM 4.6V and Kimi K2.6
BenchmarkGLM 4.6VKimi 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

GLM 4.6V$0.0008Fits in one request
Kimi K2.6$0.0029Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

GLM 4.6V$0.018Fits in one request
Kimi K2.6$0.059Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

GLM 4.6V$0.069Exceeds the context window
Kimi K2.6$0.230Fits in one request

GLM 4.6V 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 GLM 4.6V and Kimi K2.6
SpecificationZ.ai GLM 4.6VMoonshotAI Kimi K2.6
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedDecember 8, 2025April 20, 2026
Context window131K262K
Input $/Mtok$0.30$0.95
Output $/Mtok$0.90$4.00
Coding indexNot benchmarked52.1
Independent measurements behind it03
Cost per solved taskNot computable$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6V better than Kimi K2.6 for coding?

Only Kimi K2.6 has a coding score, 52.1 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding. Pick GLM 4.6V for output tokens 4.4x cheaper ($0.90 vs $4.00 per million).

Which is cheaper, GLM 4.6V or Kimi K2.6?

GLM 4.6V costs $0.30 per million input tokens and $0.90 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, GLM 4.6V or Kimi K2.6?

Kimi K2.6, with 262K tokens against 131K.

How many benchmarks is the GLM 4.6V vs Kimi K2.6 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. GLM 4.6V's coding index rests on 0 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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