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GLM 5 vs Kimi K2.6

Updated October 21, 2026. 66 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5 Replace Kimi K2.6
GLM 5Z.ai
Coding
59.7
Overall
27.9
Output $/M
$3.20
5
Kimi K2.6Moonshot AI
Coding
44.2
Overall
27.0
Output $/M
$3.41
61
vs boards won of 66 shared

Decision reading

Pick GLM 5 for coding: it scores 59.7 on the Vibe Coding Index against 44.2 for Kimi K2.6.

Pick Kimi K2.6 when a solved task costs $0.35 against $0.63, or when the context window is larger, 262K against 205K tokens.

Model AGLM 5Z.ai59.7/1002 independent benchmarks$0.63 per solved taskModel BKimi K2.6Moonshot AI44.2/1001 independent benchmark$0.35 per solved task
Shared results
66
GLM 5 only
9
Kimi K2.6 only
43
Like-for-like categories
8 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
GLM 5 59.7 from 2 benchmarks, Kimi K2.6 44.2 from 1 benchmark.
Widest category
Math, 8.9 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: GLM 5 80.0% against Kimi K2.6 96.1%, 16.1 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Kimi K2.6 $3.41 per million output tokens, 1.1x apart.
Context window
GLM 5 takes 205K 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 5BarsKimi K2.6Ties
Coding011
Intelligence11
Agentic work25
Reasoning07
Math03
Knowledge09
Web design08
General217
All shared boards561
CodingLike-for-likeFour of these boards feed the Vibe Coding Index011
Coding benchmarks for GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi K2.6Leader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev14351509Kimi K2.6
AA Coding IndexNot measured61.8Only Kimi K2.6 measured
LiveCodeBench (Vals AI)81.9%86.8%Kimi K2.6
SWE-bench Verified (Vals AI)71.4%76.2%Kimi K2.6
Vibe Code Bench (Vals AI)23.4%37.9%Kimi K2.6
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)43.2%43.9%Kimi K2.6
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%55.9%Kimi K2.6
ALE-Bench765.61092.7Kimi K2.6
LMArena Text: coding14611489Kimi K2.6
LMArena Text: software and IT14601484Kimi K2.6
LMArena WebDev: React14241505Kimi K2.6
LMArena WebDev: HTML14501485Kimi K2.6
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi K2.6Leader
AA Intelligence Index27.927.0GLM 5
Epoch Capabilities Index145.8150.9Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index25
Agentic work benchmarks for GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi 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 apps11231155Kimi K2.6
Design Arena: agents building mobile apps11361156Kimi K2.6
Design Arena: agents building Android apps11521166Kimi K2.6
Design Arena: agents building Godot games11441120GLM 5
Design Arena: agents building gamesNot measured1141Only Kimi K2.6 measured
Design Arena: HTML slides11481184Kimi K2.6
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 Telecom98.2%95.9%GLM 5
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2$4,432$6,205Kimi K2.6
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 5 and Kimi K2.6
BenchmarkGLM 5Kimi K2.6Leader
GPQA Diamond83.3%89.1%Kimi K2.6
MMMU Pro (Vals AI)Not measured86.3%Only Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)82.0%91.1%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)29.3%37.5%Kimi K2.6
GPQA Diamond (Epoch AI run)87.8%90.8%Kimi K2.6
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 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 prompts14521470Kimi K2.6
LMArena Text: expert14541491Kimi K2.6
LMArena Text: hard prompts in English14601471Kimi 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 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi K2.6Leader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%96.1%Kimi K2.6
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: math14401474Kimi K2.6
LMArena Text: mathematical work14511480Kimi K2.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi K2.6Leader
MMLU Pro86.0%87.6%Kimi K2.6
LegalBench (Vals AI)84.1%84.7%Kimi K2.6
CaseLaw (Vals AI)52.5%61.2%Kimi K2.6
CorpFin (Vals AI)62.9%66.7%Kimi K2.6
TaxEval (Vals AI)70.0%74.7%Kimi K2.6
MortgageTax (Vals AI)Not measured65.8%Only Kimi K2.6 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
MedCode (Vals AI)Not measured40.1%Only Kimi K2.6 measured
SimpleQA VerifiedNot measured34.9%Only Kimi K2.6 measured
LMArena Text: science14601468Kimi K2.6
LMArena Text: medicine and healthcare14551457Kimi K2.6
LMArena Text: legal and government14531462Kimi K2.6
LMArena Text: business and finance14301445Kimi K2.6
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi K2.6Leader
Design Arena: websites12471269Kimi K2.6
Design Arena: UI components12301266Kimi K2.6
Design Arena: game dev12341251Kimi K2.6
Design Arena: data viz12281249Kimi K2.6
Design Arena: 3D12291268Kimi K2.6
Design Arena: all code categories12461272Kimi K2.6
Design Arena: SVG11681181Kimi K2.6
Design Arena: ASCII art11461164Kimi K2.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
General benchmarks for GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi 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
IFBench72.3%76.0%Kimi K2.6
Long context reasoning (AA-LCR)75.7%81.0%Kimi K2.6
DTBenchNot measured90.9%Only Kimi K2.6 measured
LMCANot measured37.3%Only Kimi K2.6 measured
CL-bench18.7%Not measuredOnly GLM 5 measured
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14461455Kimi K2.6
LMArena Text: instruction following14281451Kimi K2.6
LMArena Text: creative writing14381434GLM 5
LMArena VisionNot measured1282Only Kimi K2.6 measured
LMArena Text: English14581460Kimi K2.6
LMArena Text: non-English14301446Kimi K2.6
LMArena Text: Chinese15111520Kimi K2.6
LMArena Text: German14471451Kimi K2.6
LMArena Text: Japanese14161443Kimi K2.6
LMArena Text: Korean14231427Kimi K2.6
LMArena Text: French14561471Kimi K2.6
LMArena Text: Spanish14541464Kimi K2.6
LMArena Text: Russian14361446Kimi K2.6
LMArena Text: Polish14341438Kimi K2.6
LMArena Text: multi-turn14561453GLM 5
LMArena Text: longer queries14461468Kimi K2.6
LMArena Text: writing and language14371439Kimi K2.6
LMArena Text: entertainment and media14261428Kimi 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 GLM 5 and Kimi K2.6
BenchmarkGLM 5Kimi 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 5$0.0026Fits in one request
Kimi K2.6$0.0024Fits in one request

Kimi K2.6 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Kimi K2.6$0.043Fits in one request

Kimi K2.6 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Kimi K2.6$0.164Fits 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 GLM 5 and Kimi K2.6
SpecificationZ.ai GLM 5MoonshotAI Kimi K2.6
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026April 20, 2026
Context window205K262K
Input $/Mtok$1.00$0.65
Output $/Mtok$3.20$3.41
Coding index59.744.2
Independent measurements behind it21
Cost per solved task$0.63$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Kimi K2.6 for coding?

Pick GLM 5 for coding: it scores 59.7 on the Vibe Coding Index against 44.2 for Kimi K2.6. Pick Kimi K2.6 when a solved task costs $0.35 against $0.63, or when the context window is larger, 262K against 205K tokens.

Which is cheaper, GLM 5 or Kimi K2.6?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Kimi K2.6 costs $0.65 and $3.41. Per solved SWE-bench Verified task, GLM 5 costs $0.63 and Kimi K2.6 $0.35.

Which has the bigger context window, GLM 5 or Kimi K2.6?

Kimi K2.6, with 262K tokens against 205K.

How many benchmarks is the GLM 5 vs Kimi K2.6 comparison based on?

66 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 2 independent benchmarks 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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