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GLM 4.6 vs Grok 4.5

Grok 4.5 leads GLM 4.6 on coding, 58.6 to 8.8 on the Vibe Coding Index, and GLM 4.6 costs 2.7x less per output token ($2.20 vs $6.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Replace GLM 4.6 Replace Grok 4.5
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
4
Grok 4.5xAI
Coding
58.6
Overall
62.1
Output $/M
$6.00
51
vs boards won of 55 shared

GLM 4.6 or Grok 4.5: which to pick

Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 8.8 for GLM 4.6.

Pick GLM 4.6 for output tokens 2.7x cheaper ($2.20 vs $6.00 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: Chinese, where it leads.

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BGrok 4.5xAI58.6/1006 independent benchmarks$0.62 per solved task
Shared results
55
GLM 4.6 only
14
Grok 4.5 only
68
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 4.5 58.6 from 6 benchmarks.
Widest category
Coding, 25.5 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 4.6 3.1% against Grok 4.5 69.0%, 65.9 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Grok 4.5 $6.00 per million output tokens, 2.7x apart.
Context window
GLM 4.6 takes 205K tokens, Grok 4.5 500K.

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 4.5Ties
Coding08
Intelligence01
Agentic work04
Reasoning07
Math02
Knowledge17
Web design07
General315
All shared boards451
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LiveBench codingNot measured94.3%Only Grok 4.5 measured
LMArena WebDev13411553Grok 4.5
AA Coding Index45.872.4Grok 4.5
LiveCodeBench (Vals AI)81.0%87.3%Grok 4.5
SWE-bench Verified (Vals AI)Not measured86.6%Only Grok 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured8.6%Only Grok 4.5 measured
Vibe Code Bench (Vals AI)3.1%69.0%Grok 4.5
Code migration (Vals AI)Not measured36.6%Only Grok 4.5 measured
ProgramBench (Vals AI)Not measured0.0%Only Grok 4.5 measured
IOI (Vals AI)Not measured40.6%Only Grok 4.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured67.8%Only Grok 4.5 measured
SkillsBench (Vals AI)Not measured66.0%Only Grok 4.5 measured
CyberBench (Vals AI)Not measured71.0%Only Grok 4.5 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured55.0%Only Grok 4.5 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 measured42.4%Only Grok 4.5 measured
WeirdMLNot measured46.4%Only Grok 4.5 measured
ALE-Bench340.81309.3Grok 4.5
LMArena Text: coding14491474Grok 4.5
LMArena Text: software and IT14551471Grok 4.5
LMArena WebDev: ReactNot measured1556Only Grok 4.5 measured
LMArena WebDev: HTML13501567Grok 4.5
LMArena WebDev: from an imageNot measured1562Only Grok 4.5 measured
SciCodeNot measured6.5%Only Grok 4.5 measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
AA Intelligence Index18.538.8Grok 4.5
Epoch Capabilities IndexNot measured154.1Only Grok 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
AA Agentic IndexNot measured41.2Only Grok 4.5 measured
Design Arena: agents building web appsNot measured1218Only Grok 4.5 measured
Design Arena: agents building full-stack apps10291249Grok 4.5
Design Arena: agents building mobile apps10961220Grok 4.5
Design Arena: agents building Android apps10841236Grok 4.5
Design Arena: agents building Godot games11801229Grok 4.5
Design Arena: agents building gamesNot measured1236Only Grok 4.5 measured
Design Arena: HTML slidesNot measured1205Only Grok 4.5 measured
Design Arena: PowerPoint slidesNot measured1230Only Grok 4.5 measured
LiveBench researchNot measured85.9%Only Grok 4.5 measured
LiveBench browserNot measured44.0%Only Grok 4.5 measured
LiveBench long agenticNot measured27.9%Only Grok 4.5 measured
SREBench (Vals AI)Not measured0.8%Only Grok 4.5 measured
Finance Agent (Vals AI)Not measured48.4%Only Grok 4.5 measured
Tax Agent Bench (Vals AI)Not measured24.9%Only Grok 4.5 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Grok 4.5 measured
Excel Modeling Benchmark (Vals AI)Not measured52.9%Only Grok 4.5 measured
Time Horizon Index (Vals AI)Not measured6.3%Only Grok 4.5 measured
τ²-Bench Telecom76.9%Not measuredOnly GLM 4.6 measured
APEX-AgentsNot measured56.2%Only Grok 4.5 measured
PostTrainBenchNot measured23.4%Only Grok 4.5 measured
Vending-Bench 2Not measured$3,887Only Grok 4.5 measured
LMArena SearchNot measured1216Only Grok 4.5 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 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
GPQA Diamond74.5%92.9%Grok 4.5
LiveBench reasoningNot measured87.2%Only Grok 4.5 measured
MMMU Pro (Vals AI)Not measured61.8%Only Grok 4.5 measured
GPQA Diamond (Artificial Analysis run)78.0%93.1%Grok 4.5
Humanity's Last Exam (Artificial Analysis run)14.5%42.7%Grok 4.5
GPQA Diamond (Epoch AI run)Not measured93.4%Only Grok 4.5 measured
ARC-AGINot measured87.2%Only Grok 4.5 measured
ARC-AGI-2Not measured52.6%Only Grok 4.5 measured
SimpleBenchNot measured70.0%Only Grok 4.5 measured
Chess puzzlesNot measured35.0%Only Grok 4.5 measured
LMArena Text: hard prompts14401462Grok 4.5
LMArena Text: expert14321465Grok 4.5
LMArena Text: hard prompts in English14451464Grok 4.5
LMArena Vision: diagramsNot measured1304Only Grok 4.5 measured
LMArena Vision: homeworkNot measured1295Only Grok 4.5 measured
Kagi LLM Benchmark45.7%83.5%Grok 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
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 measured97.8%Only Grok 4.5 measured
FrontierMath, tiers 1 to 3Not measured57.2%Only Grok 4.5 measured
FrontierMath, tier 4Not measured24.4%Only Grok 4.5 measured
ProofBenchNot measured31.0%Only Grok 4.5 measured
LMArena Text: math14321460Grok 4.5
LMArena Text: mathematical work14471482Grok 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17
Knowledge benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
MMLU Pro82.2%89.2%Grok 4.5
LegalBench (Vals AI)79.6%86.0%Grok 4.5
CorpFin (Vals AI)56.8%67.4%Grok 4.5
TaxEval (Vals AI)66.2%71.7%Grok 4.5
MortgageTax (Vals AI)Not measured61.8%Only Grok 4.5 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MedCode (Vals AI)Not measured43.3%Only Grok 4.5 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
SimpleQA VerifiedNot measured48.3%Only Grok 4.5 measured
LMArena Text: science14561464Grok 4.5
LMArena Text: medicine and healthcare14551440GLM 4.6
LMArena Text: legal and government14481463Grok 4.5
LMArena Text: business and finance14161441Grok 4.5
FACTS Benchmark SuiteNot measured50.2%Only Grok 4.5 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
Design Arena: websites11741281Grok 4.5
Design Arena: UI components11451280Grok 4.5
Design Arena: game dev11501264Grok 4.5
Design Arena: data viz11611266Grok 4.5
Design Arena: 3D11281257Grok 4.5
Design Arena: all code categories11651275Grok 4.5
Design Arena: SVG11081215Grok 4.5
Design Arena: ASCII artNot measured1256Only Grok 4.5 measured
LiveBench designNot measured78.1%Only Grok 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index315
General benchmarks for GLM 4.6 and Grok 4.5
BenchmarkGLM 4.6Grok 4.5Leader
LiveBench data analysisNot measured73.0%Only Grok 4.5 measured
SAGE (Vals AI)Not measured35.0%Only Grok 4.5 measured
MedScribe (Vals AI)Not measured86.9%Only Grok 4.5 measured
Vals Multimodal IndexNot measured63.4%Only Grok 4.5 measured
IFBench43.4%Not measuredOnly GLM 4.6 measured
Long context reasoning (AA-LCR)54.0%79.3%Grok 4.5
DTBenchNot measured96.5%Only Grok 4.5 measured
LMCANot measured45.2%Only Grok 4.5 measured
Surface Evolver BenchNot measured74.4%Only Grok 4.5 measured
Furniture assemblyNot measured22.5%Only Grok 4.5 measured
LMArena Text14401448Grok 4.5
LMArena Text: instruction following14101445Grok 4.5
LMArena Text: creative writing14121442Grok 4.5
LMArena VisionNot measured1287Only Grok 4.5 measured
LMArena Text: English14491453Grok 4.5
LMArena Text: non-English14261440Grok 4.5
LMArena Text: Chinese14991495GLM 4.6
LMArena Text: German14471448Grok 4.5
LMArena Text: Japanese13931430Grok 4.5
LMArena Text: Korean14001406Grok 4.5
LMArena Text: French14591457GLM 4.6
LMArena Text: Spanish14361451Grok 4.5
LMArena Text: Russian14181449Grok 4.5
LMArena Text: Polish14471432GLM 4.6
LMArena Text: multi-turn14271456Grok 4.5
LMArena Text: longer queries14221462Grok 4.5
LMArena Text: writing and language14151445Grok 4.5
LMArena Text: entertainment and media14091434Grok 4.5
LMArena Vision: EnglishNot measured1285Only Grok 4.5 measured
LMArena Vision: ChineseNot measured1345Only Grok 4.5 measured
LMArena Vision: reading textNot measured1293Only Grok 4.5 measured
LMArena Vision: humorNot measured1276Only Grok 4.5 measured
LMArena Vision: creative writingNot measured1293Only Grok 4.5 measured
LMArena DocumentNot measured1452Only Grok 4.5 measured
Neither model has a result on the other 12 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 4.5
BenchmarkGLM 4.6Grok 4.5Leader
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 4.6$0.0017Fits in one request
Grok 4.5$0.0050Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
Grok 4.5$0.118Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
Grok 4.5$0.460Fits 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 4.5
SpecificationZ.ai GLM 4.6SpaceXAI Grok 4.5
MakerZ.aixAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025July 8, 2026
Context window205K500K
Input $/Mtok$0.60$2.00
Output $/Mtok$2.20$6.00
Coding index8.858.6
Independent measurements behind it26
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Grok 4.5 for coding?

Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 8.8 for GLM 4.6. Pick GLM 4.6 for output tokens 2.7x cheaper ($2.20 vs $6.00 per million) and work measured by LMArena Text: medicine and healthcare or LMArena Text: Chinese, where it leads.

Which is cheaper, GLM 4.6 or Grok 4.5?

GLM 4.6 costs $0.60 per million input tokens and $2.20 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Cost per solved task is known for Grok 4.5 only.

Which has the bigger context window, GLM 4.6 or Grok 4.5?

Grok 4.5, with 500K tokens against 205K.

How many benchmarks is the GLM 4.6 vs Grok 4.5 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 Grok 4.5'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-4-6-vs-grok-4-5">LLMBenchmark.ai, GLM 4.6 vs Grok 4.5</a></p>