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GLM 4.6 vs Grok 4.3

Grok 4.3 leads GLM 4.6 on coding, 37.4 to 8.8 on the Vibe Coding Index, at about the same output price ($2.50 vs $2.20 per million). Updated October 22, 2026; 57 benchmarks have a result for both.

Replace GLM 4.6 Replace Grok 4.3
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
35
Grok 4.3xAI
Coding
37.4
Overall
53.1
Output $/M
$2.50
22
vs boards won of 57 shared

GLM 4.6 or Grok 4.3: which to pick

Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 8.8 for GLM 4.6.

Pick GLM 4.6 for output tokens 1.1x cheaper ($2.20 vs $2.50 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BGrok 4.3xAI37.4/1003 independent benchmarks$0.31 per solved task
Shared results
57
GLM 4.6 only
12
Grok 4.3 only
48
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, Grok 4.3 37.4 from 3 benchmarks.
Widest category
Agentic work, 15.4 points apart on average over 5 shared benchmarks.
Widest single gap
IFBench: GLM 4.6 43.4% against Grok 4.3 83.3%, 39.9 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Grok 4.3 $2.50 per million output tokens, 1.1x apart.
Context window
GLM 4.6 takes 205K tokens, Grok 4.3 1M.

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 4.6BarsGrok 4.3Ties
Coding36
Intelligence01
Agentic work41
Reasoning33
Math20
Knowledge44
Web design25
General172
All shared boards3522
CodingLike-for-likeSix of these boards feed the Vibe Coding Index36
Coding benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LMArena WebDev13411358Grok 4.3
AA Coding Index45.842.2GLM 4.6
LiveCodeBench (Vals AI)81.0%84.5%Grok 4.3
SWE-bench Verified (Vals AI)Not measured71.4%Only Grok 4.3 measured
Vibe Code Bench (Vals AI)3.1%19.4%Grok 4.3
Code migration (Vals AI)Not measured6.8%Only Grok 4.3 measured
ProgramBench (Vals AI)Not measured0.0%Only Grok 4.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Grok 4.3 measured
SkillsBench (Vals AI)Not measured40.6%Only Grok 4.3 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured48.3%Only Grok 4.3 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%37.9%Grok 4.3
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
WeirdMLNot measured49.9%Only Grok 4.3 measured
ALE-Bench340.8944.2Grok 4.3
LMArena Text: coding14491415GLM 4.6
LMArena Text: software and IT14551416GLM 4.6
LMArena WebDev: ReactNot measured1353Only Grok 4.3 measured
LMArena WebDev: HTML13501367Grok 4.3
LMArena WebDev: from an imageNot measured1375Only Grok 4.3 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
AA Intelligence Index18.524.9Grok 4.3
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
AA Agentic IndexNot measured15.5Only Grok 4.3 measured
Design Arena: agents building web appsNot measured1126Only Grok 4.3 measured
Design Arena: agents building full-stack apps10291006GLM 4.6
Design Arena: agents building mobile apps10961058GLM 4.6
Design Arena: agents building Android apps1084962GLM 4.6
Design Arena: agents building Godot games1180914GLM 4.6
Design Arena: agents building gamesNot measured1007Only Grok 4.3 measured
Design Arena: HTML slidesNot measured959Only Grok 4.3 measured
Design Arena: PowerPoint slidesNot measured988Only Grok 4.3 measured
Design Arena: spreadsheetsNot measured879Only Grok 4.3 measured
Finance Agent (Vals AI)Not measured37.7%Only Grok 4.3 measured
Tax Agent Bench (Vals AI)Not measured6.2%Only Grok 4.3 measured
Legal Research Bench (Vals AI)Not measured15.4%Only Grok 4.3 measured
Excel Modeling Benchmark (Vals AI)Not measured18.4%Only Grok 4.3 measured
τ²-Bench Telecom76.9%97.7%Grok 4.3
Vending-Bench 2Not measured$35Only Grok 4.3 measured
LMArena SearchNot measured1166Only Grok 4.3 measured
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
GPQA Diamond74.5%91.4%Grok 4.3
MMMU Pro (Vals AI)Not measured83.1%Only Grok 4.3 measured
GPQA Diamond (Artificial Analysis run)78.0%90.1%Grok 4.3
Humanity's Last Exam (Artificial Analysis run)14.5%37.2%Grok 4.3
GPQA Diamond (Epoch AI run)Not measured88.8%Only Grok 4.3 measured
Chess puzzlesNot measured18.0%Only Grok 4.3 measured
LMArena Text: hard prompts14401396GLM 4.6
LMArena Text: expert14321384GLM 4.6
LMArena Text: hard prompts in English14451402GLM 4.6
LMArena Vision: diagramsNot measured1241Only Grok 4.3 measured
LMArena Vision: homeworkNot measured1241Only Grok 4.3 measured
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
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 measured93.3%Only Grok 4.3 measured
FrontierMath, tiers 1 to 3Not measured42.8%Only Grok 4.3 measured
FrontierMath, tier 4Not measured14.6%Only Grok 4.3 measured
ProofBenchNot measured11.0%Only Grok 4.3 measured
LMArena Text: math14321387GLM 4.6
LMArena Text: mathematical work14471396GLM 4.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index44
Knowledge benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
MMLU Pro82.2%85.8%Grok 4.3
LegalBench (Vals AI)79.6%84.5%Grok 4.3
CaseLaw (Vals AI)Not measured79.3%Only Grok 4.3 measured
CorpFin (Vals AI)56.8%68.5%Grok 4.3
TaxEval (Vals AI)66.2%70.8%Grok 4.3
MortgageTax (Vals AI)Not measured48.3%Only Grok 4.3 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MedCode (Vals AI)Not measured38.1%Only Grok 4.3 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
SimpleQA VerifiedNot measured33.2%Only Grok 4.3 measured
LMArena Text: science14561399GLM 4.6
LMArena Text: medicine and healthcare14551384GLM 4.6
LMArena Text: legal and government14481386GLM 4.6
LMArena Text: business and finance14161381GLM 4.6
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index25
Web design benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
Design Arena: websites11741196Grok 4.3
Design Arena: UI components11451190Grok 4.3
Design Arena: game dev11501173Grok 4.3
Design Arena: data viz11611179Grok 4.3
Design Arena: 3D11281124GLM 4.6
Design Arena: all code categories11651186Grok 4.3
Design Arena: SVG11081080GLM 4.6
Design Arena: ASCII artNot measured1125Only Grok 4.3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
General benchmarks for GLM 4.6 and Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
Public Benefits Bench (Vals AI)Not measured51.7%Only Grok 4.3 measured
SAGE (Vals AI)Not measured19.7%Only Grok 4.3 measured
MedScribe (Vals AI)Not measured74.4%Only Grok 4.3 measured
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBench43.4%83.3%Grok 4.3
Long context reasoning (AA-LCR)54.0%75.0%Grok 4.3
DTBenchNot measured90.7%Only Grok 4.3 measured
LMCANot measured38.3%Only Grok 4.3 measured
LMArena Text14401397GLM 4.6
LMArena Text: instruction following14101366GLM 4.6
LMArena Text: creative writing14121380GLM 4.6
LMArena VisionNot measured1229Only Grok 4.3 measured
LMArena Text: English14491404GLM 4.6
LMArena Text: non-English14261385GLM 4.6
LMArena Text: Chinese14991422GLM 4.6
LMArena Text: German14471395GLM 4.6
LMArena Text: Japanese13931379GLM 4.6
LMArena Text: Korean14001354GLM 4.6
LMArena Text: French14591411GLM 4.6
LMArena Text: Spanish14361399GLM 4.6
LMArena Text: Russian14181399GLM 4.6
LMArena Text: Polish14471398GLM 4.6
LMArena Text: multi-turn14271406GLM 4.6
LMArena Text: longer queries14221393GLM 4.6
LMArena Text: writing and language14151385GLM 4.6
LMArena Text: entertainment and media14091370GLM 4.6
LMArena Vision: EnglishNot measured1235Only Grok 4.3 measured
LMArena Vision: ChineseNot measured1257Only Grok 4.3 measured
LMArena Vision: reading textNot measured1235Only Grok 4.3 measured
LMArena Vision: humorNot measured1222Only Grok 4.3 measured
LMArena Vision: recognizing thingsNot measured1217Only Grok 4.3 measured
LMArena Vision: creative writingNot measured1237Only Grok 4.3 measured
Neither model has a result on the other 14 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 Grok 4.3
BenchmarkGLM 4.6Grok 4.3Leader
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
Grok 4.3$0.0025Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
Grok 4.3$0.070Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
Grok 4.3$0.275Fits 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 Grok 4.3
SpecificationZ.ai GLM 4.6SpaceXAI Grok 4.3
MakerZ.aixAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025April 30, 2026
Context window205K1M
Input $/Mtok$0.60$1.25
Output $/Mtok$2.20$2.50
Coding index8.837.4
Independent measurements behind it23
Cost per solved taskNot computable$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Grok 4.3 for coding?

Pick Grok 4.3 for coding: it scores 37.4 on the Vibe Coding Index against 8.8 for GLM 4.6. Pick GLM 4.6 for output tokens 1.1x cheaper ($2.20 vs $2.50 per million) and work measured by AA Coding Index or LMArena Text: coding, where it leads.

Which is cheaper, GLM 4.6 or Grok 4.3?

GLM 4.6 costs $0.60 per million input tokens and $2.20 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Cost per solved task is known for Grok 4.3 only.

Which has the bigger context window, GLM 4.6 or Grok 4.3?

Grok 4.3, with 1M tokens against 205K.

How many benchmarks is the GLM 4.6 vs Grok 4.3 comparison based on?

57 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 independent benchmarks and Grok 4.3's on 3. 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-4-6-vs-grok-4-3">LLMBenchmark.ai, GLM 4.6 vs Grok 4.3</a></p>