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GLM 5.2 vs Kimi K3

Kimi K3 leads GLM 5.2 on coding, 62.3 to 61.1 on the Vibe Coding Index, and GLM 5.2 costs 3.4x less per output token ($4.40 vs $15.00 per million). Updated October 21, 2026; 90 benchmarks have a result for both.

Replace GLM 5.2 Replace Kimi K3
GLM 5.2Z.ai
Coding
61.1
Overall
62.5
Output $/M
$4.40
5
Kimi K3Moonshot AI
Coding
62.3
Overall
66.5
Output $/M
$15.00
85
vs boards won of 90 shared

GLM 5.2 or Kimi K3: which to pick

GLM 5.2 and Kimi K3 are level for coding, 61.1 against 62.3 on the Vibe Coding Index, so price and context decide.

Pick GLM 5.2 for output tokens 3.4x cheaper ($4.40 vs $15.00 per million) and work measured by Code migration (Vals AI) or Vending-Bench 2, where it leads. Pick Kimi K3 for a lower cost per solved task ($0.81 against $0.86) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Model AGLM 5.2Z.ai61.1/1004 independent benchmarks$0.86 per solved taskModel BKimi K3Moonshot AI62.3/1006 independent benchmarks$0.81 per solved task
Shared results
90
GLM 5.2 only
8
Kimi K3 only
27
Like-for-like categories
8 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 5.2 61.1 from 4 benchmarks, Kimi K3 62.3 from 6 benchmarks.
Widest category
Math, 15.0 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: GLM 5.2 35.0% against Kimi K3 87.0%, 52.0 points apart on a 0 to 100 scale.
Output price
GLM 5.2 $4.40 against Kimi K3 $15.00 per million output tokens, 3.4x apart.
Context window
Both take 1.05M tokens.

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 5.2BarsKimi K3Ties
Coding115
Intelligence02
Agentic work114
Reasoning012
Math06
Knowledge010
Web design07
General319
All shared boards585
CodingLike-for-likeSix of these boards feed the Vibe Coding Index115
Coding benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
LiveBench codingNot measured59.3%Only Kimi K3 measured
LMArena WebDev16041655Kimi K3
AA Coding Index68.876.2Kimi K3
LiveCodeBench (Vals AI)69.5%87.2%Kimi K3
SWE-bench Verified (Vals AI)82.8%93.4%Kimi K3
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Kimi K3 measured
Vibe Code Bench (Vals AI)64.0%85.0%Kimi K3
Code migration (Vals AI)37.9%16.1%GLM 5.2
ProgramBench (Vals AI)0.5%2.0%Kimi K3
IOI (Vals AI)Not measured48.9%Only Kimi K3 measured
Terminal-Bench 2.1 (Vals AI)67.8%80.9%Kimi K3
SWE-bench Multimodal (Vals AI)Not measured44.2%Only Kimi K3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured18.2%Only Kimi K3 measured
SkillsBench (Vals AI)45.1%Not measuredOnly GLM 5.2 measured
CyberBench (Vals AI)Not measured75.2%Only Kimi K3 measured
SciCode51.2%59.5%Kimi K3
Terminal-Bench Hard (Artificial Analysis run)50.8%Not measuredOnly GLM 5.2 measured
FrontierCode24.5%44.2%Kimi K3
FrontierSWENot measured25.9%Only Kimi K3 measured
WeirdML70.1%82.6%Kimi K3
ALE-Bench1047.01524.5Kimi K3
LMArena Text: coding14871508Kimi K3
LMArena Text: software and IT14861499Kimi K3
LMArena WebDev: React16171670Kimi K3
LMArena WebDev: HTML15651644Kimi K3
LMArena WebDev: from an imageNot measured1579Only Kimi K3 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
AA Intelligence Index33.743.6Kimi K3
Epoch Capabilities Index151.9157.9Kimi K3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index114
Agentic work benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
AA Agentic Index38.450.0Kimi K3
Design Arena: agents building web apps12221295Kimi K3
Design Arena: agents building full-stack apps12411315Kimi K3
Design Arena: agents building mobile apps11601269Kimi K3
Design Arena: agents building Android apps11781250Kimi K3
Design Arena: agents building Godot games11421223Kimi K3
Design Arena: agents building games12061252Kimi K3
Design Arena: HTML slides11751256Kimi K3
Design Arena: PowerPoint slides11951273Kimi K3
Design Arena: spreadsheetsNot measured1058Only Kimi K3 measured
LiveBench researchNot measured79.0%Only Kimi K3 measured
LiveBench browserNot measured16.0%Only Kimi K3 measured
LiveBench long agenticNot measured42.8%Only Kimi K3 measured
SREBench (Vals AI)0.0%Not measuredOnly GLM 5.2 measured
Finance Agent (Vals AI)49.7%53.1%Kimi K3
Tax Agent Bench (Vals AI)Not measured33.4%Only Kimi K3 measured
Legal Research Bench (Vals AI)31.3%46.1%Kimi K3
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.9%Only Kimi K3 measured
Excel Modeling Benchmark (Vals AI)61.5%66.7%Kimi K3
BioMysteryBench (Vals AI)Not measured72.6%Only Kimi K3 measured
Terminal-Bench-Science (Vals AI)Not measured1.4%Only Kimi K3 measured
Time Horizon Index (Vals AI)Not measured10.5%Only Kimi K3 measured
τ²-Bench Telecom99.1%Not measuredOnly GLM 5.2 measured
APEX-Agents45.2%47.8%Kimi K3
PostTrainBench31.7%32.0%Kimi K3
Vending-Bench 2$8,314$5,165GLM 5.2
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index012
Reasoning benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
GPQA Diamond85.6%92.9%Kimi K3
LiveBench reasoningNot measured90.7%Only Kimi K3 measured
MMMU Pro (Vals AI)Not measured88.2%Only Kimi K3 measured
GPQA Diamond (Artificial Analysis run)89.5%93.5%Kimi K3
Humanity's Last Exam (Artificial Analysis run)41.1%46.9%Kimi K3
GPQA Diamond (Epoch AI run)91.9%93.1%Kimi K3
ARC-AGI77.0%94.5%Kimi K3
ARC-AGI-222.8%60.4%Kimi K3
SimpleBench58.8%60.7%Kimi K3
Chess puzzles22.0%37.0%Kimi K3
Mystery game puzzles19.0%26.0%Kimi K3
EBR-bench9.5%Not measuredOnly GLM 5.2 measured
LMArena Text: hard prompts14811495Kimi K3
LMArena Text: expert14871520Kimi K3
LMArena Text: hard prompts in English14811496Kimi K3
Kagi LLM Benchmark62.6%Not measuredOnly GLM 5.2 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
OTIS Mock AIME86.4%97.2%Kimi K3
FrontierMath, tiers 1 to 359.2%72.2%Kimi K3
FrontierMath, tier 429.3%39.0%Kimi K3
ProofBench35.0%87.0%Kimi K3
LMArena Text: math14831494Kimi K3
LMArena Text: mathematical work14891505Kimi K3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
MMLU Pro86.7%88.0%Kimi K3
LegalBench (Vals AI)84.1%86.2%Kimi K3
CorpFin (Vals AI)66.1%71.6%Kimi K3
TaxEval (Vals AI)73.3%75.7%Kimi K3
MortgageTax (Vals AI)Not measured66.3%Only Kimi K3 measured
MedCode (Vals AI)40.8%49.4%Kimi K3
SimpleQA Verified34.2%50.6%Kimi K3
LMArena Text: science14891508Kimi K3
LMArena Text: medicine and healthcare14751489Kimi K3
LMArena Text: legal and government14861503Kimi K3
LMArena Text: business and finance14511470Kimi K3
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
Design Arena: websites12851335Kimi K3
Design Arena: UI components12961344Kimi K3
Design Arena: game dev12681359Kimi K3
Design Arena: data viz12851351Kimi K3
Design Arena: 3D12881388Kimi K3
Design Arena: all code categories12881360Kimi K3
Design Arena: SVG12141302Kimi K3
Design Arena: ASCII art1190Not measuredOnly GLM 5.2 measured
LiveBench designNot measured77.2%Only Kimi K3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index319
General benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
Vals IndexNot measured53.0%Only Kimi K3 measured
LiveBench data analysisNot measured78.7%Only Kimi K3 measured
Public Benefits Bench (Vals AI)Not measured68.2%Only Kimi K3 measured
SAGE (Vals AI)Not measured52.8%Only Kimi K3 measured
MedScribe (Vals AI)83.5%88.0%Kimi K3
Vals Multimodal IndexNot measured73.4%Only Kimi K3 measured
IFBench73.3%Not measuredOnly GLM 5.2 measured
Long context reasoning (AA-LCR)78.3%88.7%Kimi K3
DTBench93.6%91.2%GLM 5.2
LMCA45.8%52.7%Kimi K3
Surface Evolver Bench55.6%95.0%Kimi K3
Furniture assemblyNot measured34.2%Only Kimi K3 measured
LMArena Text14701476Kimi K3
LMArena Text: instruction following14661485Kimi K3
LMArena Text: creative writing14631457GLM 5.2
LMArena Text: English14751481Kimi K3
LMArena Text: non-English14591466Kimi K3
LMArena Text: Chinese15221529Kimi K3
LMArena Text: German14701490Kimi K3
LMArena Text: Japanese14501494Kimi K3
LMArena Text: Korean14401460Kimi K3
LMArena Text: French14791492Kimi K3
LMArena Text: Spanish14781472GLM 5.2
LMArena Text: Russian14681485Kimi K3
LMArena Text: Polish14561458Kimi K3
LMArena Text: multi-turn14691489Kimi K3
LMArena Text: longer queries14801494Kimi K3
LMArena Text: writing and language14631471Kimi K3
LMArena Text: entertainment and media14501453Kimi K3
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.2 and Kimi K3
BenchmarkGLM 5.2Kimi K3Leader
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 5.2$0.0036Fits in one request
Kimi K3$0.011Fits in one request

GLM 5.2 costs less

Repository review

50K input + 3K output tokens

GLM 5.2$0.083Fits in one request
Kimi K3$0.195Fits in one request

GLM 5.2 costs less

Agent loop

200K input + 10K output tokens

GLM 5.2$0.324Fits in one request
Kimi K3$0.750Fits in one request

GLM 5.2 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 5.2 and Kimi K3
SpecificationZ.ai GLM 5.2MoonshotAI Kimi K3
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedJune 16, 2026July 16, 2026
Context window1.05M1.05M
Input $/Mtok$1.40$3.00
Output $/Mtok$4.40$15.00
Coding index61.162.3
Independent measurements behind it46
Cost per solved task$0.86$0.81
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.2 better than Kimi K3 for coding?

GLM 5.2 and Kimi K3 are level for coding, 61.1 against 62.3 on the Vibe Coding Index, so price and context decide. Pick GLM 5.2 for output tokens 3.4x cheaper ($4.40 vs $15.00 per million) and work measured by Code migration (Vals AI) or Vending-Bench 2, where it leads. Pick Kimi K3 for a lower cost per solved task ($0.81 against $0.86) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, GLM 5.2 or Kimi K3?

GLM 5.2 costs $1.40 per million input tokens and $4.40 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, GLM 5.2 costs $0.86 and Kimi K3 $0.81.

Which has the bigger context window, GLM 5.2 or Kimi K3?

Neither: both take 1.05M tokens.

How many benchmarks is the GLM 5.2 vs Kimi K3 comparison based on?

90 benchmarks have a result for both models as of October 21, 2026. GLM 5.2's coding index rests on 4 independent benchmarks and Kimi K3's on 6. 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-5-2-vs-kimi-k3">LLMBenchmark.ai, GLM 5.2 vs Kimi K3</a></p>