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GLM 5.3 Flash vs Grok 4.3

Updated October 21, 2026. 79 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
73
Grok 4.3xAI
Coding
22.5
Overall
24.9
Output $/M
$2.50
5
vs boards won of 79 shared, 1 tied

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 22.5 for Grok 4.3.

Pick Grok 4.3 when what matters is LiveCodeBench (Vals AI) or SkillsBench (Vals AI), where it leads.

Shared results
79
GLM 5.3 Flash only
23
Grok 4.3 only
25
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, Grok 4.3 22.5 from 1 benchmark.
Widest category
Agentic work, 29.6 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: React: GLM 5.3 Flash 1624 against Grok 4.3 1353, 41.1 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Grok 4.3 $2.50 per million output tokens, 5.0x apart.
Context window
GLM 5.3 Flash takes 1.05M 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 5.3 FlashBarsGrok 4.3Ties
Coding1231 tie
Intelligence10
Agentic work50
Reasoning101
Math60
Knowledge61
Web design80
General250
All shared boards7351 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index123
Coding benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071358GLM 5.3 Flash
AA Coding Index71.542.2GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%84.5%Grok 4.3
SWE-bench Verified (Vals AI)92.0%71.4%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%19.4%GLM 5.3 Flash
Code migration (Vals AI)20.5%6.8%GLM 5.3 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
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%40.6%Grok 4.3
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
SciCode51.6%48.3%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only Grok 4.3 measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
WeirdMLNot measured49.9%Only Grok 4.3 measured
ALE-Bench303.6944.2Grok 4.3
LMArena Text: coding15071415GLM 5.3 Flash
LMArena Text: software and IT15001416GLM 5.3 Flash
LMArena WebDev: React16241353GLM 5.3 Flash
LMArena WebDev: HTML15771367GLM 5.3 Flash
LMArena WebDev: from an image15781375GLM 5.3 Flash
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
AA Intelligence Index41.824.9GLM 5.3 Flash
Epoch Capabilities Index153.1Not measuredOnly GLM 5.3 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
AA Agentic Index50.915.5GLM 5.3 Flash
Design Arena: agents building web appsNot measured1126Only Grok 4.3 measured
Design Arena: agents building full-stack appsNot measured1006Only Grok 4.3 measured
Design Arena: agents building mobile appsNot measured1059Only Grok 4.3 measured
Design Arena: agents building Android appsNot measured967Only Grok 4.3 measured
Design Arena: agents building Godot gamesNot measured914Only Grok 4.3 measured
Design Arena: agents building gamesNot measured1007Only Grok 4.3 measured
Design Arena: HTML slidesNot measured1008Only Grok 4.3 measured
Design Arena: PowerPoint slidesNot measured1012Only Grok 4.3 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%37.7%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%6.2%GLM 5.3 Flash
Legal Research Bench (Vals AI)45.2%15.4%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%18.4%GLM 5.3 Flash
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured97.7%Only Grok 4.3 measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Vending-Bench 2Not measured$35Only Grok 4.3 measured
LMArena SearchNot measured1166Only Grok 4.3 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
Reasoning benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
GPQA Diamond86.4%91.4%Grok 4.3
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%83.1%GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)91.2%90.1%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%37.2%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%88.8%GLM 5.3 Flash
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%18.0%GLM 5.3 Flash
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901396GLM 5.3 Flash
LMArena Text: expert15111384GLM 5.3 Flash
LMArena Text: hard prompts in English14881402GLM 5.3 Flash
LMArena Vision: diagrams13171241GLM 5.3 Flash
LMArena Vision: homework13181241GLM 5.3 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
OTIS Mock AIME93.9%93.3%GLM 5.3 Flash
FrontierMath, tiers 1 to 355.8%42.8%GLM 5.3 Flash
FrontierMath, tier 417.1%14.6%GLM 5.3 Flash
ProofBench21.0%11.0%GLM 5.3 Flash
LMArena Text: math15031387GLM 5.3 Flash
LMArena Text: mathematical work14971396GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
Knowledge benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
MMLU Pro86.1%85.8%GLM 5.3 Flash
LegalBench (Vals AI)83.9%84.5%Grok 4.3
CaseLaw (Vals AI)Not measured79.3%Only Grok 4.3 measured
CorpFin (Vals AI)Not measured68.5%Only Grok 4.3 measured
TaxEval (Vals AI)75.6%70.8%GLM 5.3 Flash
MortgageTax (Vals AI)Not measured48.3%Only Grok 4.3 measured
MedCode (Vals AI)Not measured38.1%Only Grok 4.3 measured
SimpleQA VerifiedNot measured33.2%Only Grok 4.3 measured
LMArena Text: science14841399GLM 5.3 Flash
LMArena Text: medicine and healthcare14751384GLM 5.3 Flash
LMArena Text: legal and government14731386GLM 5.3 Flash
LMArena Text: business and finance14601381GLM 5.3 Flash
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
Design Arena: websites12721196GLM 5.3 Flash
Design Arena: UI components13161192GLM 5.3 Flash
Design Arena: game dev12791174GLM 5.3 Flash
Design Arena: data viz12621180GLM 5.3 Flash
Design Arena: 3D13161125GLM 5.3 Flash
Design Arena: all code categories12821187GLM 5.3 Flash
Design Arena: SVG12841081GLM 5.3 Flash
Design Arena: ASCII art12691125GLM 5.3 Flash
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
General benchmarks for GLM 5.3 Flash and Grok 4.3
BenchmarkGLM 5.3 FlashGrok 4.3Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
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)88.9%74.4%GLM 5.3 Flash
Vals Multimodal IndexNot measured43.3%Only Grok 4.3 measured
IFBenchNot measured83.3%Only Grok 4.3 measured
Long context reasoning (AA-LCR)80.0%75.0%GLM 5.3 Flash
DTBenchNot measured90.7%Only Grok 4.3 measured
LMCANot measured38.3%Only Grok 4.3 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711397GLM 5.3 Flash
LMArena Text: instruction following14781366GLM 5.3 Flash
LMArena Text: creative writing14411380GLM 5.3 Flash
LMArena Vision12941229GLM 5.3 Flash
LMArena Text: English14741404GLM 5.3 Flash
LMArena Text: non-English14621385GLM 5.3 Flash
LMArena Text: Chinese15311422GLM 5.3 Flash
LMArena Text: German14621395GLM 5.3 Flash
LMArena Text: Japanese14441379GLM 5.3 Flash
LMArena Text: Korean14361354GLM 5.3 Flash
LMArena Text: French14911411GLM 5.3 Flash
LMArena Text: Spanish14751399GLM 5.3 Flash
LMArena Text: Russian14651399GLM 5.3 Flash
LMArena Text: Polish14501398GLM 5.3 Flash
LMArena Text: multi-turn14691406GLM 5.3 Flash
LMArena Text: longer queries14811393GLM 5.3 Flash
LMArena Text: writing and language14551385GLM 5.3 Flash
LMArena Text: entertainment and media14401370GLM 5.3 Flash
LMArena Vision: English12951235GLM 5.3 Flash
LMArena Vision: Chinese13631257GLM 5.3 Flash
LMArena Vision: reading text12991235GLM 5.3 Flash
LMArena Vision: humor12791222GLM 5.3 Flash
LMArena Vision: recognizing thingsNot measured1217Only Grok 4.3 measured
LMArena Vision: creative writing12701237GLM 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 Grok 4.3
BenchmarkGLM 5.3 FlashGrok 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 5.3 Flash$0.0004Fits in one request
Grok 4.3$0.0025Fits 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
Grok 4.3$0.070Fits 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
Grok 4.3$0.275Fits 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 Grok 4.3
SpecificationZ.ai GLM 5.3 FlashSpaceXAI Grok 4.3
MakerZ.aixAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026April 30, 2026
Context window1.05M1M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.50$2.50
Coding index71.022.5
Independent measurements behind it21
Cost per solved task$0.02$0.31
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Grok 4.3 for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 22.5 for Grok 4.3. Pick Grok 4.3 when what matters is LiveCodeBench (Vals AI) or SkillsBench (Vals AI), where it leads.

Which is cheaper, GLM 5.3 Flash or Grok 4.3?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Grok 4.3 $0.31.

Which has the bigger context window, GLM 5.3 Flash or Grok 4.3?

GLM 5.3 Flash, with 1.05M tokens against 1M.

How many benchmarks is the GLM 5.3 Flash vs Grok 4.3 comparison based on?

79 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 Grok 4.3's on 1. Where only one model has a result, the page says so instead of naming a winner.

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