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GLM 5.3 Flash vs Kimi K2.6

Updated October 21, 2026. 80 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5.3 Flash Replace Kimi K2.6
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
62
Kimi K2.6Moonshot AI
Coding
44.2
Overall
27.0
Output $/M
$3.41
17
vs boards won of 80 shared, 1 tied

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 44.2 for Kimi K2.6.

Pick Kimi K2.6 when what matters is LiveCodeBench (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Model AGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved taskModel BKimi K2.6Moonshot AI44.2/1001 independent benchmark$0.35 per solved task
Shared results
80
GLM 5.3 Flash only
22
Kimi K2.6 only
29
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 5.3 Flash 71.0 from 2 benchmarks, Kimi K2.6 44.2 from 1 benchmark.
Widest category
Agentic work, 18.7 points apart on average over 5 shared benchmarks.
Widest single gap
AA Agentic Index: GLM 5.3 Flash 50.9 against Kimi K2.6 20.5, 30.4 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Kimi K2.6 $3.41 per million output tokens, 6.8x apart.
Context window
GLM 5.3 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
CategoryGLM 5.3 FlashBarsKimi K2.6Ties
Coding1041 tie
Intelligence20
Agentic work41
Reasoning84
Math33
Knowledge52
Web design80
General223
All shared boards62171 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index104
Coding benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071509GLM 5.3 Flash
AA Coding Index71.561.8GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%86.8%Kimi K2.6
SWE-bench Verified (Vals AI)92.0%76.2%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%37.9%Kimi K2.6
Code migration (Vals AI)20.5%27.8%Kimi K2.6
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%53.6%GLM 5.3 Flash
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
SciCode51.6%51.5%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured43.9%Only Kimi K2.6 measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
WeirdMLNot measured55.9%Only Kimi K2.6 measured
ALE-Bench303.61092.7Kimi K2.6
LMArena Text: coding15071489GLM 5.3 Flash
LMArena Text: software and IT15001484GLM 5.3 Flash
LMArena WebDev: React16241505GLM 5.3 Flash
LMArena WebDev: HTML15771485GLM 5.3 Flash
LMArena WebDev: from an image15781521GLM 5.3 Flash
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
AA Intelligence Index41.827.0GLM 5.3 Flash
Epoch Capabilities Index153.1150.9GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
AA Agentic Index50.920.5GLM 5.3 Flash
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 measured1166Only 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 research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%44.9%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%12.4%GLM 5.3 Flash
Legal Research Bench (Vals AI)45.2%15.9%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%57.9%Kimi K2.6
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.6 measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 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 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index84
Reasoning benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
GPQA Diamond86.4%89.1%Kimi K2.6
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%86.3%Kimi K2.6
GPQA Diamond (Artificial Analysis run)91.2%91.1%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%37.5%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%90.8%Kimi K2.6
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%20.0%GLM 5.3 Flash
Mystery game puzzles8.0%18.0%Kimi K2.6
EBR-benchNot measured2.4%Only Kimi K2.6 measured
LMArena Text: hard prompts14901470GLM 5.3 Flash
LMArena Text: expert15111491GLM 5.3 Flash
LMArena Text: hard prompts in English14881471GLM 5.3 Flash
LMArena Vision: diagrams13171298GLM 5.3 Flash
LMArena Vision: homework13181310GLM 5.3 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index33
Math benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
OTIS Mock AIME93.9%96.1%Kimi K2.6
FrontierMath, tiers 1 to 355.8%57.2%Kimi K2.6
FrontierMath, tier 417.1%25.6%Kimi K2.6
ProofBench21.0%16.0%GLM 5.3 Flash
LMArena Text: math15031474GLM 5.3 Flash
LMArena Text: mathematical work14971480GLM 5.3 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 GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
MMLU Pro86.1%87.6%Kimi K2.6
LegalBench (Vals AI)83.9%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)75.6%74.7%GLM 5.3 Flash
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: science14841468GLM 5.3 Flash
LMArena Text: medicine and healthcare14751457GLM 5.3 Flash
LMArena Text: legal and government14731462GLM 5.3 Flash
LMArena Text: business and finance14601445GLM 5.3 Flash
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
Design Arena: websites12721269GLM 5.3 Flash
Design Arena: UI components13161266GLM 5.3 Flash
Design Arena: game dev12791251GLM 5.3 Flash
Design Arena: data viz12621249GLM 5.3 Flash
Design Arena: 3D13161268GLM 5.3 Flash
Design Arena: all code categories12821272GLM 5.3 Flash
Design Arena: SVG12841181GLM 5.3 Flash
Design Arena: ASCII art12691164GLM 5.3 Flash
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index223
General benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 FlashKimi K2.6Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
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)88.9%78.2%GLM 5.3 Flash
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBenchNot measured76.0%Only Kimi K2.6 measured
Long context reasoning (AA-LCR)80.0%81.0%Kimi K2.6
DTBenchNot measured90.9%Only Kimi K2.6 measured
LMCANot measured37.3%Only Kimi K2.6 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
LMArena Text14711455GLM 5.3 Flash
LMArena Text: instruction following14781451GLM 5.3 Flash
LMArena Text: creative writing14411434GLM 5.3 Flash
LMArena Vision12941282GLM 5.3 Flash
LMArena Text: English14741460GLM 5.3 Flash
LMArena Text: non-English14621446GLM 5.3 Flash
LMArena Text: Chinese15311520GLM 5.3 Flash
LMArena Text: German14621451GLM 5.3 Flash
LMArena Text: Japanese14441443GLM 5.3 Flash
LMArena Text: Korean14361427GLM 5.3 Flash
LMArena Text: French14911471GLM 5.3 Flash
LMArena Text: Spanish14751464GLM 5.3 Flash
LMArena Text: Russian14651446GLM 5.3 Flash
LMArena Text: Polish14501438GLM 5.3 Flash
LMArena Text: multi-turn14691453GLM 5.3 Flash
LMArena Text: longer queries14811468GLM 5.3 Flash
LMArena Text: writing and language14551439GLM 5.3 Flash
LMArena Text: entertainment and media14401428GLM 5.3 Flash
LMArena Vision: English12951287GLM 5.3 Flash
LMArena Vision: Chinese13631346GLM 5.3 Flash
LMArena Vision: reading text12991291GLM 5.3 Flash
LMArena Vision: humor12791280Kimi K2.6
LMArena Vision: creative writing12701273Kimi K2.6
LMArena DocumentNot measured1451Only Kimi K2.6 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and Kimi K2.6
BenchmarkGLM 5.3 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

GLM 5.3 Flash$0.0004Fits in one request
Kimi K2.6$0.0024Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
Kimi K2.6$0.043Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
Kimi K2.6$0.164Fits in one request

GLM 5.3 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 GLM 5.3 Flash and Kimi K2.6
SpecificationZ.ai GLM 5.3 FlashMoonshotAI Kimi K2.6
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026April 20, 2026
Context window1.05M262K
Input $/Mtok$0.15$0.65
Output $/Mtok$0.50$3.41
Coding index71.044.2
Independent measurements behind it21
Cost per solved task$0.02$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Kimi K2.6 for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 44.2 for Kimi K2.6. Pick Kimi K2.6 when what matters is LiveCodeBench (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, GLM 5.3 Flash or Kimi K2.6?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Kimi K2.6 costs $0.65 and $3.41. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Kimi K2.6 $0.35.

Which has the bigger context window, GLM 5.3 Flash or Kimi K2.6?

GLM 5.3 Flash, with 1.05M tokens against 262K.

How many benchmarks is the GLM 5.3 Flash vs Kimi K2.6 comparison based on?

80 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash'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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