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GLM 5.3 Flash vs GPT-5.4

GPT-5.4 leads GLM 5.3 Flash on coding, 64.4 to 57.7 on the Vibe Coding Index, and GLM 5.3 Flash costs 30.0x less per output token ($0.50 vs $15.00 per million). Updated October 22, 2026; 77 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace GPT-5.4
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
35
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
42
vs boards won of 77 shared

GLM 5.3 Flash or GPT-5.4: which to pick

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 3 benchmarks against 6.

Pick GLM 5.3 Flash for output tokens 30.0x cheaper ($0.50 vs $15.00 per million) and a lower cost per solved task ($0.02 against $1.02).

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved task
Shared results
77
GLM 5.3 Flash only
25
GPT-5.4 only
33
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 5.3 Flash 57.7 from 6 benchmarks, GPT-5.4 64.4 from 3 benchmarks.
Widest category
Math, 16.0 points apart on average over 6 shared benchmarks.
Widest single gap
ALE-Bench: GLM 5.3 Flash 303.6 against GPT-5.4 1607.0, 43.4 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against GPT-5.4 $15.00 per million output tokens, 30.0x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, GPT-5.4 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 5.3 FlashBarsGPT-5.4Ties
Coding86
Intelligence11
Agentic work10
Reasoning311
Math15
Knowledge34
Web design80
General1015
All shared boards3542
CodingLike-for-likeSix of these boards feed the Vibe Coding Index86
Coding benchmarks for GLM 5.3 Flash and GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071464GLM 5.3 Flash
AA Coding Index71.571.1GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%84.1%GPT-5.4
SWE-bench Verified (Vals AI)92.0%78.2%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%67.4%GPT-5.4
Code migration (Vals AI)20.5%35.0%GPT-5.4
ProgramBench (Vals AI)0.0%0.5%GPT-5.4
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%51.7%GPT-5.4
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
SciCode51.6%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured57.6%Only GPT-5.4 measured
Terminal-BenchNot measured81.8%Only GPT-5.4 measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
GSO-BenchNot measured31.4%Only GPT-5.4 measured
WeirdMLNot measured77.7%Only GPT-5.4 measured
MirrorCodeNot measured15.6%Only GPT-5.4 measured
ALE-Bench303.61607.0GPT-5.4
LMArena Text: coding15071496GLM 5.3 Flash
LMArena Text: software and IT15001491GLM 5.3 Flash
LMArena WebDev: React16241454GLM 5.3 Flash
LMArena WebDev: HTML15771478GLM 5.3 Flash
LMArena WebDev: from an image15781436GLM 5.3 Flash
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GLM 5.3 Flash and GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
AA Intelligence Index41.839.0GLM 5.3 Flash
Epoch Capabilities Index153.1157.3GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5.3 Flash and GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
Design Arena: agents building web appsNot measured1059Only GPT-5.4 measured
Design Arena: agents building full-stack appsNot measured1017Only GPT-5.4 measured
Design Arena: agents building mobile appsNot measured1087Only GPT-5.4 measured
Design Arena: agents building Android appsNot measured1031Only GPT-5.4 measured
Design Arena: agents building Godot gamesNot measured1135Only GPT-5.4 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%Not measuredOnly GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured87.1%Only GPT-5.4 measured
APEX-Agents52.8%52.4%GLM 5.3 Flash
METR time horizonsNot measured74.3%Only GPT-5.4 measured
DeepResearch BenchNot measured35.1%Only GPT-5.4 measured
PostTrainBenchNot measured19.0%Only GPT-5.4 measured
Vending-Bench 2Not measured$6,144Only GPT-5.4 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index311
Reasoning benchmarks for GLM 5.3 Flash and GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
GPQA Diamond86.4%91.7%GPT-5.4
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%87.5%GPT-5.4
GPQA Diamond (Artificial Analysis run)91.2%92.0%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)39.9%43.7%GPT-5.4
GPQA Diamond (Epoch AI run)90.2%93.3%GPT-5.4
ARC-AGI91.0%93.7%GPT-5.4
ARC-AGI-265.8%74.0%GPT-5.4
Chess puzzles21.0%48.0%GPT-5.4
Mystery game puzzles8.0%37.0%GPT-5.4
EBR-benchNot measured25.4%Only GPT-5.4 measured
LMArena Text: hard prompts14901485GLM 5.3 Flash
LMArena Text: expert15111507GLM 5.3 Flash
LMArena Text: hard prompts in English14881479GLM 5.3 Flash
LMArena Vision: diagrams13171327GPT-5.4
LMArena Vision: homework13181336GPT-5.4
Kagi LLM BenchmarkNot measured63.8%Only GPT-5.4 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for GLM 5.3 Flash and GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
AIMENot measured96.7%Only GPT-5.4 measured
OTIS Mock AIME93.9%97.8%GPT-5.4
FrontierMath, tiers 1 to 355.8%78.6%GPT-5.4
FrontierMath, tier 417.1%49.0%GPT-5.4
ProofBench21.0%56.0%GPT-5.4
LMArena Text: math15031488GLM 5.3 Flash
LMArena Text: mathematical work14971497GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index34
Knowledge benchmarks for GLM 5.3 Flash and GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
MMLU Pro86.1%87.5%GPT-5.4
LegalBench (Vals AI)83.9%86.0%GPT-5.4
CaseLaw (Vals AI)Not measured63.8%Only GPT-5.4 measured
CorpFin (Vals AI)Not measured65.3%Only GPT-5.4 measured
TaxEval (Vals AI)75.6%74.0%GLM 5.3 Flash
MortgageTax (Vals AI)Not measured68.3%Only GPT-5.4 measured
MedQA (Vals AI)Not measured96.1%Only GPT-5.4 measured
MedCode (Vals AI)Not measured41.3%Only GPT-5.4 measured
SimpleQA VerifiedNot measured45.1%Only GPT-5.4 measured
LMArena Text: science14841479GLM 5.3 Flash
LMArena Text: medicine and healthcare14751458GLM 5.3 Flash
LMArena Text: legal and government14731486GPT-5.4
LMArena Text: business and finance14601474GPT-5.4
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 GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
Design Arena: websites12721198GLM 5.3 Flash
Design Arena: UI components13161212GLM 5.3 Flash
Design Arena: game dev12781194GLM 5.3 Flash
Design Arena: data viz12621196GLM 5.3 Flash
Design Arena: 3D13161065GLM 5.3 Flash
Design Arena: all code categories12821179GLM 5.3 Flash
Design Arena: SVG12851141GLM 5.3 Flash
Design Arena: ASCII art12671188GLM 5.3 Flash
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1015
General benchmarks for GLM 5.3 Flash and GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
SAGE (Vals AI)Not measured43.3%Only GPT-5.4 measured
MedScribe (Vals AI)88.9%77.5%GLM 5.3 Flash
IFBenchNot measured73.9%Only GPT-5.4 measured
Long context reasoning (AA-LCR)80.0%82.0%GPT-5.4
DTBenchNot measured94.4%Only GPT-5.4 measured
LMCANot measured52.0%Only GPT-5.4 measured
CL-benchNot measured27.9%Only GPT-5.4 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
Furniture assemblyNot measured37.5%Only GPT-5.4 measured
CL-bench LifeNot measured21.7%Only GPT-5.4 measured
LMArena Text14711469GLM 5.3 Flash
LMArena Text: instruction following14781469GLM 5.3 Flash
LMArena Text: creative writing14411439GLM 5.3 Flash
LMArena Vision12941303GPT-5.4
LMArena Text: English14741467GLM 5.3 Flash
LMArena Text: non-English14621465GPT-5.4
LMArena Text: Chinese15311520GLM 5.3 Flash
LMArena Text: German14621472GPT-5.4
LMArena Text: Japanese14441485GPT-5.4
LMArena Text: Korean14361449GPT-5.4
LMArena Text: French14911493GPT-5.4
LMArena Text: Spanish14751452GLM 5.3 Flash
LMArena Text: Russian14651480GPT-5.4
LMArena Text: Polish14501472GPT-5.4
LMArena Text: multi-turn14691482GPT-5.4
LMArena Text: longer queries14811473GLM 5.3 Flash
LMArena Text: writing and language14551458GPT-5.4
LMArena Text: entertainment and media14401438GLM 5.3 Flash
LMArena Vision: English12951301GPT-5.4
LMArena Vision: Chinese13631354GLM 5.3 Flash
LMArena Vision: reading text12991312GPT-5.4
LMArena Vision: humor12791284GPT-5.4
LMArena Vision: recognizing thingsNot measured1251Only GPT-5.4 measured
LMArena Vision: creative writing12701283GPT-5.4
LMArena DocumentNot measured1471Only GPT-5.4 measured
Neither model has a result on the other 9 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 GPT-5.4
BenchmarkGLM 5.3 FlashGPT-5.4Leader
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
GPT-5.4$0.010Fits 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
GPT-5.4$0.170Fits 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
GPT-5.4$0.650Fits 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 GPT-5.4
SpecificationZ.ai GLM 5.3 FlashOpenAI GPT-5.4
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026March 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.15$2.50
Output $/Mtok$0.50$15.00
Coding index57.764.4
Independent measurements behind it63
Cost per solved task$0.02$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than GPT-5.4 for coding?

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 3 benchmarks against 6. Pick GLM 5.3 Flash for output tokens 30.0x cheaper ($0.50 vs $15.00 per million) and a lower cost per solved task ($0.02 against $1.02).

Which is cheaper, GLM 5.3 Flash or GPT-5.4?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and GPT-5.4 $1.02.

Which has the bigger context window, GLM 5.3 Flash or GPT-5.4?

GPT-5.4, with 1.05M tokens against 1.05M.

How many benchmarks is the GLM 5.3 Flash vs GPT-5.4 comparison based on?

77 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash's coding index rests on 6 independent benchmarks and GPT-5.4's on 3. Where only one model has a result, the page says so instead of naming a winner.

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