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GLM 4.6 vs Kimi K3

Kimi K3 leads GLM 4.6 on coding, 62.3 to 8.8 on the Vibe Coding Index, and GLM 4.6 costs 6.8x less per output token ($2.20 vs $15.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Replace GLM 4.6 Replace Kimi K3
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
0
Kimi K3Moonshot AI
Coding
62.3
Overall
66.5
Output $/M
$15.00
55
vs boards won of 55 shared

GLM 4.6 or Kimi K3: which to pick

Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 8.8 for GLM 4.6.

Pick GLM 4.6 for output tokens 6.8x cheaper ($2.20 vs $15.00 per million).

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BKimi K3Moonshot AI62.3/1006 independent benchmarks$0.81 per solved task
Shared results
55
GLM 4.6 only
15
Kimi K3 only
67
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 4.6 8.8 from 2 benchmarks, Kimi K3 62.3 from 6 benchmarks.
Widest category
Coding, 32.7 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 4.6 3.1% against Kimi K3 85.0%, 81.9 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Kimi K3 $15.00 per million output tokens, 6.8x apart.
Context window
GLM 4.6 takes 205K tokens, Kimi K3 1.05M.

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 4.6BarsKimi K3Ties
Coding08
Intelligence01
Agentic work04
Reasoning06
Math03
Knowledge08
Web design07
General018
All shared boards055
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for GLM 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi K3Leader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LiveBench codingNot measured59.3%Only Kimi K3 measured
LMArena WebDev13411655Kimi K3
AA Coding Index45.876.2Kimi K3
LiveCodeBench (Vals AI)81.0%87.2%Kimi K3
SWE-bench Verified (Vals AI)Not measured93.4%Only Kimi K3 measured
Terminal-Bench 4 (Vals AI)Not measured17.2%Only Kimi K3 measured
Vibe Code Bench (Vals AI)3.1%85.0%Kimi K3
Code migration (Vals AI)Not measured16.1%Only Kimi K3 measured
ProgramBench (Vals AI)Not measured2.0%Only Kimi K3 measured
IOI (Vals AI)Not measured48.9%Only Kimi K3 measured
Terminal-Bench 2.1 (Vals AI)Not measured80.9%Only Kimi K3 measured
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
CyberBench (Vals AI)Not measured75.2%Only Kimi K3 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured59.5%Only Kimi K3 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%Not measuredOnly GLM 4.6 measured
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
FrontierCodeNot measured44.2%Only Kimi K3 measured
FrontierSWENot measured25.9%Only Kimi K3 measured
WeirdMLNot measured82.6%Only Kimi K3 measured
ALE-Bench340.81524.5Kimi K3
LMArena Text: coding14491508Kimi K3
LMArena Text: software and IT14551499Kimi K3
LMArena WebDev: ReactNot measured1670Only Kimi K3 measured
LMArena WebDev: HTML13501644Kimi K3
LMArena WebDev: from an imageNot measured1579Only Kimi K3 measured
SWE-Bench Pro V2Not measured97.7%Only Kimi K3 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi K3Leader
AA Intelligence Index18.543.6Kimi K3
Epoch Capabilities IndexNot measured157.9Only Kimi K3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for GLM 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi K3Leader
AA Agentic IndexNot measured50.0Only Kimi K3 measured
Design Arena: agents building web appsNot measured1295Only Kimi K3 measured
Design Arena: agents building full-stack apps10291315Kimi K3
Design Arena: agents building mobile apps10961268Kimi K3
Design Arena: agents building Android apps10841252Kimi K3
Design Arena: agents building Godot games11801223Kimi K3
Design Arena: agents building gamesNot measured1252Only Kimi K3 measured
Design Arena: HTML slidesNot measured1196Only Kimi K3 measured
Design Arena: PowerPoint slidesNot measured1245Only Kimi K3 measured
Design Arena: spreadsheetsNot measured1096Only 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
Finance Agent (Vals AI)Not measured53.1%Only Kimi K3 measured
Tax Agent Bench (Vals AI)Not measured33.4%Only Kimi K3 measured
Legal Research Bench (Vals AI)Not measured46.1%Only Kimi K3 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured12.9%Only Kimi K3 measured
Excel Modeling Benchmark (Vals AI)Not measured66.7%Only Kimi K3 measured
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 Telecom76.9%Not measuredOnly GLM 4.6 measured
APEX-AgentsNot measured47.8%Only Kimi K3 measured
PostTrainBenchNot measured32.0%Only Kimi K3 measured
Vending-Bench 2Not measured$5,165Only Kimi K3 measured
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
MCP AtlasNot measured82.3%Only Kimi K3 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi K3Leader
GPQA Diamond74.5%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)78.0%93.5%Kimi K3
Humanity's Last Exam (Artificial Analysis run)14.5%46.9%Kimi K3
GPQA Diamond (Epoch AI run)Not measured93.1%Only Kimi K3 measured
ARC-AGINot measured94.5%Only Kimi K3 measured
ARC-AGI-2Not measured60.4%Only Kimi K3 measured
SimpleBenchNot measured60.7%Only Kimi K3 measured
Chess puzzlesNot measured37.0%Only Kimi K3 measured
Mystery game puzzlesNot measured26.0%Only Kimi K3 measured
LMArena Text: hard prompts14401495Kimi K3
LMArena Text: expert14321520Kimi K3
LMArena Text: hard prompts in English14451496Kimi K3
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Humanity's Last Exam (Scale run)Not measured22.2%Only Kimi K3 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi K3Leader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
OTIS Mock AIMENot measured97.2%Only Kimi K3 measured
FrontierMath, tiers 1 to 3Not measured72.2%Only Kimi K3 measured
FrontierMath, tier 4Not measured39.0%Only Kimi K3 measured
ProofBenchNot measured87.0%Only Kimi K3 measured
LMArena Text: math14321494Kimi K3
LMArena Text: mathematical work14471505Kimi K3
MathArena16.3%48.0%Kimi K3
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
Knowledge benchmarks for GLM 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi K3Leader
MMLU Pro82.2%88.0%Kimi K3
LegalBench (Vals AI)79.6%86.2%Kimi K3
CorpFin (Vals AI)56.8%71.6%Kimi K3
TaxEval (Vals AI)66.2%75.7%Kimi K3
MortgageTax (Vals AI)Not measured66.3%Only Kimi K3 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MedCode (Vals AI)Not measured49.4%Only Kimi K3 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
SimpleQA VerifiedNot measured50.6%Only Kimi K3 measured
LMArena Text: science14561508Kimi K3
LMArena Text: medicine and healthcare14551489Kimi K3
LMArena Text: legal and government14481503Kimi K3
LMArena Text: business and finance14161470Kimi 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 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi K3Leader
Design Arena: websites11741335Kimi K3
Design Arena: UI components11451340Kimi K3
Design Arena: game dev11501360Kimi K3
Design Arena: data viz11611352Kimi K3
Design Arena: 3D11281387Kimi K3
Design Arena: all code categories11651360Kimi K3
Design Arena: SVG11081301Kimi K3
LiveBench designNot measured77.2%Only Kimi K3 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 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi 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)Not measured88.0%Only Kimi K3 measured
Vals Multimodal IndexNot measured73.4%Only Kimi K3 measured
IFBench43.4%Not measuredOnly GLM 4.6 measured
Long context reasoning (AA-LCR)54.0%88.7%Kimi K3
DTBenchNot measured91.2%Only Kimi K3 measured
LMCANot measured52.7%Only Kimi K3 measured
Surface Evolver BenchNot measured95.0%Only Kimi K3 measured
Furniture assemblyNot measured34.2%Only Kimi K3 measured
LMArena Text14401476Kimi K3
LMArena Text: instruction following14101485Kimi K3
LMArena Text: creative writing14121457Kimi K3
LMArena Text: English14491481Kimi K3
LMArena Text: non-English14261466Kimi K3
LMArena Text: Chinese14991529Kimi K3
LMArena Text: German14471490Kimi K3
LMArena Text: Japanese13931494Kimi K3
LMArena Text: Korean14001460Kimi K3
LMArena Text: French14591492Kimi K3
LMArena Text: Spanish14361472Kimi K3
LMArena Text: Russian14181485Kimi K3
LMArena Text: Polish14471458Kimi K3
LMArena Text: multi-turn14271489Kimi K3
LMArena Text: longer queries14221494Kimi K3
LMArena Text: writing and language14151471Kimi K3
LMArena Text: entertainment and media14091453Kimi K3
EQ-Bench 4Not measured1339Only Kimi K3 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6 and Kimi K3
BenchmarkGLM 4.6Kimi 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 4.6$0.0017Fits in one request
Kimi K3$0.011Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
Kimi K3$0.195Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
Kimi K3$0.750Fits in one request

GLM 4.6 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 4.6 and Kimi K3
SpecificationZ.ai GLM 4.6MoonshotAI Kimi K3
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedSeptember 30, 2025July 16, 2026
Context window205K1.05M
Input $/Mtok$0.60$3.00
Output $/Mtok$2.20$15.00
Coding index8.862.3
Independent measurements behind it26
Cost per solved taskNot computable$0.81
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Kimi K3 for coding?

Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 8.8 for GLM 4.6. Pick GLM 4.6 for output tokens 6.8x cheaper ($2.20 vs $15.00 per million).

Which is cheaper, GLM 4.6 or Kimi K3?

GLM 4.6 costs $0.60 per million input tokens and $2.20 per million output tokens; Kimi K3 costs $3.00 and $15.00. Cost per solved task is known for Kimi K3 only.

Which has the bigger context window, GLM 4.6 or Kimi K3?

Kimi K3, with 1.05M tokens against 205K.

How many benchmarks is the GLM 4.6 vs Kimi K3 comparison based on?

55 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 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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<iframe src="https://llmbenchmark.ai/embed/compare/glm-4-6-vs-kimi-k3" title="GLM 4.6 vs Kimi K3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-4-6-vs-kimi-k3">LLMBenchmark.ai, GLM 4.6 vs Kimi K3</a></p>