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GLM 5.3 Flash vs Kimi K2.5

Updated October 21, 2026. 70 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 K2.5
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
67
Kimi K2.5Moonshot AI
Coding
58.5
Overall
23.5
Output $/M
$2.50
3
vs boards won of 70 shared

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 58.5 for Kimi K2.5.

Pick Kimi K2.5 when what matters is LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

Model AGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved taskModel BKimi K2.5Moonshot AI58.5/1002 independent benchmarks$0.24 per solved task
Shared results
70
GLM 5.3 Flash only
32
Kimi K2.5 only
28
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 K2.5 58.5 from 2 benchmarks.
Widest category
Agentic work, 26.3 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI-2: GLM 5.3 Flash 65.8% against Kimi K2.5 11.8%, 54.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Kimi K2.5 $2.50 per million output tokens, 5.0x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, Kimi K2.5 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 K2.5Ties
Coding112
Intelligence20
Agentic work30
Reasoning110
Math20
Knowledge60
Web design80
General241
All shared boards673
CodingLike-for-likeFour of these boards feed the Vibe Coding Index112
Coding benchmarks for GLM 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071437GLM 5.3 Flash
AA Coding Index71.546.8GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%83.9%Kimi K2.5
SWE-bench Verified (Vals AI)92.0%70.0%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%17.5%GLM 5.3 Flash
Code migration (Vals AI)20.5%7.0%GLM 5.3 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%42.0%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%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Kimi K2.5 measured
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
WeirdMLNot measured45.6%Only Kimi K2.5 measured
ALE-Bench303.6821.6Kimi K2.5
LMArena Text: coding15071483GLM 5.3 Flash
LMArena Text: software and IT15001471GLM 5.3 Flash
LMArena WebDev: React16241429GLM 5.3 Flash
LMArena WebDev: HTML15771426GLM 5.3 Flash
LMArena WebDev: from an image15781439GLM 5.3 Flash
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
AA Intelligence Index41.823.5GLM 5.3 Flash
Epoch Capabilities Index153.1148.1GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for GLM 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1124Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 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%35.8%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
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%28.5%GLM 5.3 Flash
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured95.9%Only Kimi K2.5 measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for GLM 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
GPQA Diamond86.4%84.1%GLM 5.3 Flash
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%84.3%GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)91.2%87.9%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%30.7%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI91.0%65.3%GLM 5.3 Flash
ARC-AGI-265.8%11.8%GLM 5.3 Flash
SimpleBenchNot measured46.8%Only Kimi K2.5 measured
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901453GLM 5.3 Flash
LMArena Text: expert15111466GLM 5.3 Flash
LMArena Text: hard prompts in English14881460GLM 5.3 Flash
LMArena Vision: diagrams13171282GLM 5.3 Flash
LMArena Vision: homework13181297GLM 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 index20
Math benchmarks for GLM 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 measured
OTIS Mock AIME93.9%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: math15031470GLM 5.3 Flash
LMArena Text: mathematical work14971473GLM 5.3 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for GLM 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
MMLU Pro86.1%85.9%GLM 5.3 Flash
LegalBench (Vals AI)83.9%Not measuredOnly GLM 5.3 Flash measured
CaseLaw (Vals AI)Not measured58.7%Only Kimi K2.5 measured
CorpFin (Vals AI)Not measured68.3%Only Kimi K2.5 measured
TaxEval (Vals AI)75.6%74.2%GLM 5.3 Flash
MortgageTax (Vals AI)Not measured66.5%Only Kimi K2.5 measured
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)Not measured39.3%Only Kimi K2.5 measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
LMArena Text: science14841459GLM 5.3 Flash
LMArena Text: medicine and healthcare14751448GLM 5.3 Flash
LMArena Text: legal and government14731441GLM 5.3 Flash
LMArena Text: business and finance14601427GLM 5.3 Flash
Neither model has a result on the other 4 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 K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
Design Arena: websites12721249GLM 5.3 Flash
Design Arena: UI components13161236GLM 5.3 Flash
Design Arena: game dev12791207GLM 5.3 Flash
Design Arena: data viz12621219GLM 5.3 Flash
Design Arena: 3D13161205GLM 5.3 Flash
Design Arena: all code categories12821236GLM 5.3 Flash
Design Arena: SVG12841149GLM 5.3 Flash
Design Arena: ASCII art12691165GLM 5.3 Flash
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index241
General benchmarks for GLM 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
SAGE (Vals AI)Not measured49.9%Only Kimi K2.5 measured
MedScribe (Vals AI)88.9%76.4%GLM 5.3 Flash
IFBenchNot measured70.2%Only Kimi K2.5 measured
Long context reasoning (AA-LCR)80.0%78.0%GLM 5.3 Flash
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text14711445GLM 5.3 Flash
LMArena Text: instruction following14781431GLM 5.3 Flash
LMArena Text: creative writing14411422GLM 5.3 Flash
LMArena Vision12941269GLM 5.3 Flash
LMArena Text: English14741453GLM 5.3 Flash
LMArena Text: non-English14621433GLM 5.3 Flash
LMArena Text: Chinese15311494GLM 5.3 Flash
LMArena Text: German14621441GLM 5.3 Flash
LMArena Text: Japanese14441423GLM 5.3 Flash
LMArena Text: Korean14361412GLM 5.3 Flash
LMArena Text: French14911454GLM 5.3 Flash
LMArena Text: Spanish14751450GLM 5.3 Flash
LMArena Text: Russian14651435GLM 5.3 Flash
LMArena Text: Polish14501445GLM 5.3 Flash
LMArena Text: multi-turn14691444GLM 5.3 Flash
LMArena Text: longer queries14811445GLM 5.3 Flash
LMArena Text: writing and language14551425GLM 5.3 Flash
LMArena Text: entertainment and media14401417GLM 5.3 Flash
LMArena Vision: English12951274GLM 5.3 Flash
LMArena Vision: Chinese13631328GLM 5.3 Flash
LMArena Vision: reading text12991276GLM 5.3 Flash
LMArena Vision: humor12791284Kimi K2.5
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writing12701269GLM 5.3 Flash
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 5.3 Flash and Kimi K2.5
BenchmarkGLM 5.3 FlashKimi K2.5Leader
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 K2.5$0.0018Fits 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 K2.5$0.033Fits 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 K2.5$0.125Fits 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 K2.5
SpecificationZ.ai GLM 5.3 FlashMoonshotAI Kimi K2.5
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026January 27, 2026
Context window1.05M262K
Input $/Mtok$0.15$0.50
Output $/Mtok$0.50$2.50
Coding index71.058.5
Independent measurements behind it22
Cost per solved task$0.02$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Kimi K2.5 for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 58.5 for Kimi K2.5. Pick Kimi K2.5 when what matters is LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

Which is cheaper, GLM 5.3 Flash or Kimi K2.5?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Kimi K2.5 costs $0.50 and $2.50. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Kimi K2.5 $0.24.

Which has the bigger context window, GLM 5.3 Flash or Kimi K2.5?

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

How many benchmarks is the GLM 5.3 Flash vs Kimi K2.5 comparison based on?

70 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 K2.5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-3-flash-vs-kimi-k2-5">LLMBenchmark.ai, GLM 5.3 Flash vs Kimi K2.5</a></p>