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GLM 4.7 Flash vs GPT-5.4

Updated October 21, 2026. 43 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.7 Flash Replace GPT-5.4
GLM 4.7 FlashZ.ai
Coding
No data
Overall
14.9
Output $/M
$0.40
2
GPT-5.4OpenAI
Coding
64.4
Overall
39.0
Output $/M
$15.00
41
vs boards won of 43 shared

Decision reading

Only GPT-5.4 has a coding score, 64.4 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

GLM 4.7 Flash has the edge where output tokens cost 37.5x less, and where what matters is τ²-Bench Telecom or Design Arena: 3D, where it leads.

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved task
Shared results
43
GLM 4.7 Flash only
0
GPT-5.4 only
66
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 4.7 Flash not benchmarked, GPT-5.4 64.4 from 3 benchmarks.
Widest category
Reasoning, 27.9 points apart on average over 6 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.7 Flash 41.7% against GPT-5.4 82.0%, 40.3 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against GPT-5.4 $15.00 per million output tokens, 37.5x apart.
Context window
GLM 4.7 Flash takes 200K 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 4.7 FlashBarsGPT-5.4Ties
Coding03
Intelligence01
Agentic work10
Reasoning06
Math03
Knowledge04
Web design16
General018
All shared boards241
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
LMArena WebDevNot measured1464Only GPT-5.4 measured
AA Coding IndexNot measured71.1Only GPT-5.4 measured
LiveCodeBench (Vals AI)Not measured84.1%Only GPT-5.4 measured
SWE-bench Verified (Vals AI)Not measured78.2%Only GPT-5.4 measured
Vibe Code Bench (Vals AI)Not measured67.4%Only GPT-5.4 measured
Code migration (Vals AI)Not measured35.0%Only GPT-5.4 measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.4 measured
SkillsBench (Vals AI)Not measured51.7%Only GPT-5.4 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%57.6%GPT-5.4
Terminal-BenchNot measured81.8%Only GPT-5.4 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-BenchNot measured1607.0Only GPT-5.4 measured
LMArena Text: coding13821496GPT-5.4
LMArena Text: software and IT13891491GPT-5.4
LMArena WebDev: ReactNot measured1454Only GPT-5.4 measured
LMArena WebDev: HTMLNot measured1478Only GPT-5.4 measured
LMArena WebDev: from an imageNot measured1436Only GPT-5.4 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
AA Intelligence Index14.939.0GPT-5.4
Epoch Capabilities IndexNot measured157.3Only GPT-5.4 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
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 measured1038Only GPT-5.4 measured
Design Arena: agents building Godot gamesNot measured1135Only GPT-5.4 measured
τ²-Bench Telecom98.8%87.1%GLM 4.7 Flash
APEX-AgentsNot measured52.4%Only GPT-5.4 measured
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 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
GPQA DiamondNot measured91.7%Only GPT-5.4 measured
MMMU Pro (Vals AI)Not measured87.5%Only GPT-5.4 measured
GPQA Diamond (Artificial Analysis run)58.1%92.0%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)7.6%43.7%GPT-5.4
GPQA Diamond (Epoch AI run)60.5%93.3%GPT-5.4
ARC-AGINot measured93.7%Only GPT-5.4 measured
ARC-AGI-2Not measured74.0%Only GPT-5.4 measured
Chess puzzlesNot measured48.0%Only GPT-5.4 measured
Mystery game puzzlesNot measured37.0%Only GPT-5.4 measured
EBR-benchNot measured25.4%Only GPT-5.4 measured
LMArena Text: hard prompts13561485GPT-5.4
LMArena Text: expert13571507GPT-5.4
LMArena Text: hard prompts in English13691479GPT-5.4
LMArena Vision: diagramsNot measured1327Only GPT-5.4 measured
LMArena Vision: homeworkNot measured1336Only GPT-5.4 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
AIMENot measured96.7%Only GPT-5.4 measured
OTIS Mock AIME58.3%97.8%GPT-5.4
FrontierMath, tiers 1 to 3Not measured78.6%Only GPT-5.4 measured
FrontierMath, tier 4Not measured49.0%Only GPT-5.4 measured
ProofBenchNot measured56.0%Only GPT-5.4 measured
LMArena Text: math13551488GPT-5.4
LMArena Text: mathematical work13691497GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
MMLU ProNot measured87.5%Only GPT-5.4 measured
LegalBench (Vals AI)Not measured86.0%Only GPT-5.4 measured
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)Not measured74.0%Only GPT-5.4 measured
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: science13581479GPT-5.4
LMArena Text: medicine and healthcare13431458GPT-5.4
LMArena Text: legal and government13571486GPT-5.4
LMArena Text: business and finance13431474GPT-5.4
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for GLM 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
Design Arena: websites11941199GPT-5.4
Design Arena: UI components12081215GPT-5.4
Design Arena: game dev11351195GPT-5.4
Design Arena: data viz11231195GPT-5.4
Design Arena: 3D11211065GLM 4.7 Flash
Design Arena: all code categories11781180GPT-5.4
Design Arena: SVG10381142GPT-5.4
Design Arena: ASCII artNot measured1188Only GPT-5.4 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 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 FlashGPT-5.4Leader
SAGE (Vals AI)Not measured43.3%Only GPT-5.4 measured
MedScribe (Vals AI)Not measured77.5%Only GPT-5.4 measured
IFBench60.8%73.9%GPT-5.4
Long context reasoning (AA-LCR)41.7%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
Furniture assemblyNot measured37.5%Only GPT-5.4 measured
CL-bench LifeNot measured21.7%Only GPT-5.4 measured
LMArena Text13511469GPT-5.4
LMArena Text: instruction following13271469GPT-5.4
LMArena Text: creative writing12961439GPT-5.4
LMArena VisionNot measured1303Only GPT-5.4 measured
LMArena Text: English13731467GPT-5.4
LMArena Text: non-English13301465GPT-5.4
LMArena Text: Chinese14031520GPT-5.4
LMArena Text: German13361472GPT-5.4
LMArena Text: JapaneseNot measured1485Only GPT-5.4 measured
LMArena Text: Korean12831449GPT-5.4
LMArena Text: French13321493GPT-5.4
LMArena Text: Spanish13501452GPT-5.4
LMArena Text: Russian13331480GPT-5.4
LMArena Text: Polish12911472GPT-5.4
LMArena Text: multi-turn13421482GPT-5.4
LMArena Text: longer queries13451473GPT-5.4
LMArena Text: writing and language13201458GPT-5.4
LMArena Text: entertainment and media13041438GPT-5.4
LMArena Vision: EnglishNot measured1301Only GPT-5.4 measured
LMArena Vision: ChineseNot measured1354Only GPT-5.4 measured
LMArena Vision: reading textNot measured1312Only GPT-5.4 measured
LMArena Vision: humorNot measured1284Only GPT-5.4 measured
LMArena Vision: recognizing thingsNot measured1251Only GPT-5.4 measured
LMArena Vision: creative writingNot measured1283Only GPT-5.4 measured
LMArena DocumentNot measured1471Only GPT-5.4 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 4.7 Flash and GPT-5.4
BenchmarkGLM 4.7 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 4.7 Flash$0.0003Fits in one request
GPT-5.4$0.010Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

GLM 4.7 Flash$0.0045Fits in one request
GPT-5.4$0.170Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 4.7 Flash$0.017Exceeds the context window
GPT-5.4$0.650Fits in one request

GLM 4.7 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 4.7 Flash and GPT-5.4
SpecificationZ.ai GLM 4.7 FlashOpenAI GPT-5.4
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 19, 2026March 5, 2026
Context window200K1.05M
Input $/Mtok$0.0653$2.50
Output $/Mtok$0.40$15.00
Coding indexNot benchmarked64.4
Independent measurements behind it03
Cost per solved taskNot computable$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than GPT-5.4 for coding?

Only GPT-5.4 has a coding score, 64.4 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. GLM 4.7 Flash has the edge where output tokens cost 37.5x less, and where what matters is τ²-Bench Telecom or Design Arena: 3D, where it leads.

Which is cheaper, GLM 4.7 Flash or GPT-5.4?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Cost per solved task is known for GPT-5.4 only.

Which has the bigger context window, GLM 4.7 Flash or GPT-5.4?

GPT-5.4, with 1.05M tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs GPT-5.4 comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. GLM 4.7 Flash's coding index rests on 0 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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