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GLM 4.7 vs GPT-5.4 Mini

GLM 4.7 leads GPT-5.4 Mini on coding, 55.1 to 35.8 on the Vibe Coding Index, and GLM 4.7 costs 2.0x less per output token ($2.20 vs $4.50 per million). Updated October 22, 2026; 54 benchmarks have a result for both.

Replace GLM 4.7 Replace GPT-5.4 Mini
GLM 4.7Z.ai
Coding
55.1
Overall
56.9
Output $/M
$2.20
32
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
22
vs boards won of 54 shared

GLM 4.7 or GPT-5.4 Mini: which to pick

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 2 benchmarks against 5.

Pick GPT-5.4 Mini for a larger context window (400K against 205K tokens) and work measured by AA Coding Index or SWE-bench Verified (Vals AI), where it leads.

Model AGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved taskModel BGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved task
Shared results
54
GLM 4.7 only
27
GPT-5.4 Mini only
35
Like-for-like categories
7 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 4.7 55.1 from 2 benchmarks, GPT-5.4 Mini 35.8 from 5 benchmarks.
Widest category
Agentic work, 12.6 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: GLM 4.7 399.5 against GPT-5.4 Mini 1188.6, 26.3 points apart on a 0 to 100 scale.
Output price
GLM 4.7 $2.20 against GPT-5.4 Mini $4.50 per million output tokens, 2.0x apart.
Context window
GLM 4.7 takes 205K tokens, GPT-5.4 Mini 400K.

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 4.7BarsGPT-5.4 MiniTies
Coding64
Intelligence02
Agentic work10
Reasoning26
Math14
Knowledge63
General163
All shared boards3222
CodingLike-for-likeSix of these boards feed the Vibe Coding Index64
Coding benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
LMArena WebDev14351397GLM 4.7
AA Coding Index45.356.1GPT-5.4 Mini
LiveCodeBench (Vals AI)82.2%81.5%GLM 4.7
SWE-bench Verified (Vals AI)69.4%73.0%GPT-5.4 Mini
Terminal-Bench 4 (Vals AI)Not measured2.5%Only GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)Not measured48.0%Only GPT-5.4 Mini measured
Code migration (Vals AI)Not measured12.9%Only GPT-5.4 Mini measured
ProgramBench (Vals AI)Not measured0.0%Only GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)Not measured54.7%Only GPT-5.4 Mini measured
LiveCodeBench (Artificial Analysis run)89.4%Not measuredOnly GLM 4.7 measured
SciCodeNot measured52.1%Only GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)31.8%52.3%GPT-5.4 Mini
Terminal-Bench33.4%Not measuredOnly GLM 4.7 measured
FrontierCodeNot measured27.0%Only GPT-5.4 Mini measured
WeirdMLNot measured60.3%Only GPT-5.4 Mini measured
ALE-Bench399.51188.6GPT-5.4 Mini
LMArena Text: coding14541438GLM 4.7
LMArena Text: software and IT14531436GLM 4.7
LMArena WebDev: React14201386GLM 4.7
LMArena WebDev: HTML14471419GLM 4.7
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
AA Intelligence Index22.224.1GPT-5.4 Mini
Epoch Capabilities Index143.6148.7GPT-5.4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
AA Agentic IndexNot measured17.9Only GPT-5.4 Mini measured
Design Arena: agents building full-stack apps1050Not measuredOnly GLM 4.7 measured
Design Arena: agents building mobile apps1105Not measuredOnly GLM 4.7 measured
Design Arena: agents building Android apps1112Not measuredOnly GLM 4.7 measured
Design Arena: agents building Godot games1058Not measuredOnly GLM 4.7 measured
Finance Agent (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)Not measured8.8%Only GPT-5.4 Mini measured
Legal Research Bench (Vals AI)Not measured12.5%Only GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
τ²-Bench Telecom95.9%83.3%GLM 4.7
DeepResearch BenchNot measured36.3%Only GPT-5.4 Mini measured
Vending-Bench 2$2,377Not measuredOnly GLM 4.7 measured
BrowseComp-Plus64.7%Not measuredOnly GLM 4.7 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index26
Reasoning benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
GPQA Diamond80.0%83.1%GPT-5.4 Mini
MMMU Pro (Vals AI)Not measured79.3%Only GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)85.9%87.5%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)27.4%28.1%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)83.3%86.9%GPT-5.4 Mini
ARC-AGINot measured63.7%Only GPT-5.4 Mini measured
ARC-AGI-2Not measured18.9%Only GPT-5.4 Mini measured
SimpleBench47.7%Not measuredOnly GLM 4.7 measured
Chess puzzles21.0%23.0%GPT-5.4 Mini
Mystery game puzzlesNot measured11.0%Only GPT-5.4 Mini measured
LMArena Text: hard prompts14431424GLM 4.7
LMArena Text: expert14241435GPT-5.4 Mini
LMArena Text: hard prompts in English14521420GLM 4.7
LMArena Vision: diagramsNot measured1266Only GPT-5.4 Mini measured
LMArena Vision: homeworkNot measured1285Only GPT-5.4 Mini measured
Kagi LLM BenchmarkNot measured37.9%Only GPT-5.4 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index14
Math benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
AIME93.3%95.6%GPT-5.4 Mini
MGSM (Vals AI)88.2%Not measuredOnly GLM 4.7 measured
AA Math Index95.0Not measuredOnly GLM 4.7 measured
AIME 2025 (Artificial Analysis run)95.0%Not measuredOnly GLM 4.7 measured
OTIS Mock AIME83.3%88.9%GPT-5.4 Mini
FrontierMath, tiers 1 to 3Not measured51.2%Only GPT-5.4 Mini measured
FrontierMath, tier 4Not measured9.8%Only GPT-5.4 Mini measured
ProofBench6.0%21.0%GPT-5.4 Mini
LMArena Text: math14241418GLM 4.7
LMArena Text: mathematical work14111429GPT-5.4 Mini
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index63
Knowledge benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
MMLU Pro82.7%84.5%GPT-5.4 Mini
LegalBench (Vals AI)83.4%Not measuredOnly GLM 4.7 measured
CaseLaw (Vals AI)54.9%51.7%GLM 4.7
CorpFin (Vals AI)46.4%60.9%GPT-5.4 Mini
TaxEval (Vals AI)68.8%71.2%GPT-5.4 Mini
MortgageTax (Vals AI)Not measured63.5%Only GPT-5.4 Mini measured
MedQA (Vals AI)93.7%Not measuredOnly GLM 4.7 measured
MedCode (Vals AI)32.8%Not measuredOnly GLM 4.7 measured
MMLU Pro (Artificial Analysis run)85.6%Not measuredOnly GLM 4.7 measured
SimpleQA Verified32.2%29.4%GLM 4.7
LMArena Text: science14571417GLM 4.7
LMArena Text: medicine and healthcare14691395GLM 4.7
LMArena Text: legal and government14441414GLM 4.7
LMArena Text: business and finance14291418GLM 4.7
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
Design Arena: websites1225Not measuredOnly GLM 4.7 measured
Design Arena: UI components1196Not measuredOnly GLM 4.7 measured
Design Arena: game dev1188Not measuredOnly GLM 4.7 measured
Design Arena: data viz1195Not measuredOnly GLM 4.7 measured
Design Arena: 3D1190Not measuredOnly GLM 4.7 measured
Design Arena: all code categories1216Not measuredOnly GLM 4.7 measured
Design Arena: SVG1142Not measuredOnly GLM 4.7 measured
Design Arena: ASCII art1165Not measuredOnly GLM 4.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index163
General benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
SAGE (Vals AI)Not measured50.8%Only GPT-5.4 Mini measured
MedScribe (Vals AI)68.6%Not measuredOnly GLM 4.7 measured
Vals Multimodal IndexNot measured54.2%Only GPT-5.4 Mini measured
IFBench67.9%73.3%GPT-5.4 Mini
Long context reasoning (AA-LCR)71.0%77.0%GPT-5.4 Mini
DTBenchNot measured80.0%Only GPT-5.4 Mini measured
LMCANot measured40.8%Only GPT-5.4 Mini measured
CL-bench15.9%Not measuredOnly GLM 4.7 measured
CL-bench Life10.9%Not measuredOnly GLM 4.7 measured
LMArena Text14351412GLM 4.7
LMArena Text: instruction following14121405GLM 4.7
LMArena Text: creative writing14011370GLM 4.7
LMArena VisionNot measured1245Only GPT-5.4 Mini measured
LMArena Text: English14531412GLM 4.7
LMArena Text: non-English14171405GLM 4.7
LMArena Text: Chinese14951446GLM 4.7
LMArena Text: German14261408GLM 4.7
LMArena Text: Japanese14391375GLM 4.7
LMArena Text: Korean13991370GLM 4.7
LMArena Text: French14321441GPT-5.4 Mini
LMArena Text: Spanish14341405GLM 4.7
LMArena Text: Russian14231417GLM 4.7
LMArena Text: Polish14351415GLM 4.7
LMArena Text: multi-turn14461429GLM 4.7
LMArena Text: longer queries14321408GLM 4.7
LMArena Text: writing and language14111393GLM 4.7
LMArena Text: entertainment and media14001373GLM 4.7
LMArena Vision: EnglishNot measured1244Only GPT-5.4 Mini measured
LMArena Vision: ChineseNot measured1286Only GPT-5.4 Mini measured
LMArena Vision: reading textNot measured1253Only GPT-5.4 Mini measured
LMArena Vision: humorNot measured1235Only GPT-5.4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only GPT-5.4 Mini measured
LMArena Vision: creative writingNot measured1222Only GPT-5.4 Mini measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.7 and GPT-5.4 Mini
BenchmarkGLM 4.7GPT-5.4 MiniLeader
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$0.0017Fits in one request
GPT-5.4 Mini$0.0030Fits in one request

GLM 4.7 costs less

Repository review

50K input + 3K output tokens

GLM 4.7$0.037Fits in one request
GPT-5.4 Mini$0.051Fits in one request

GLM 4.7 costs less

Agent loop

200K input + 10K output tokens

GLM 4.7$0.142Exceeds the context window
GPT-5.4 Mini$0.195Fits in one request

GLM 4.7 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 and GPT-5.4 Mini
SpecificationZ.ai GLM 4.7OpenAI GPT-5.4 Mini
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 22, 2025March 17, 2026
Context window205K400K
Input $/Mtok$0.60$0.75
Output $/Mtok$2.20$4.50
Coding index55.135.8
Independent measurements behind it25
Cost per solved task$0.29$0.70
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini, though on 2 benchmarks against 5. Pick GPT-5.4 Mini for a larger context window (400K against 205K tokens) and work measured by AA Coding Index or SWE-bench Verified (Vals AI), where it leads.

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

GLM 4.7 costs $0.60 per million input tokens and $2.20 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Per solved SWE-bench Verified task, GLM 4.7 costs $0.29 and GPT-5.4 Mini $0.70.

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

GPT-5.4 Mini, with 400K tokens against 205K.

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

54 benchmarks have a result for both models as of October 22, 2026. GLM 4.7's coding index rests on 2 independent benchmarks and GPT-5.4 Mini's on 5. Where only one model has a result, the page says so instead of naming a winner.

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