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GLM 5V Turbo vs GPT-5.4 Nano

GLM 5V Turbo leads GPT-5.4 Nano on the Artificial Analysis Intelligence Index, 23.5 to 20.7, and GPT-5.4 Nano costs 3.2x less per output token ($1.25 vs $4.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
38
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
5
vs boards won of 43 shared

GLM 5V Turbo or GPT-5.4 Nano: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.

Pick GLM 5V Turbo for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
43
GLM 5V Turbo only
22
GPT-5.4 Nano only
42
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 5V Turbo not benchmarked, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Agentic work, 22.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 5V Turbo 98.5% against GPT-5.4 Nano 76.0%, 22.5 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against GPT-5.4 Nano $1.25 per million output tokens, 3.2x apart.
Context window
GLM 5V Turbo takes 203K tokens, GPT-5.4 Nano 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 5V TurboBarsGPT-5.4 NanoTies
Coding21
Intelligence10
Agentic work10
Reasoning52
Math20
Knowledge40
General232
All shared boards385
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
LMArena WebDev1402Not measuredOnly GLM 5V Turbo measured
AA Coding IndexNot measured56.1Only GPT-5.4 Nano measured
LiveCodeBench (Vals AI)Not measured84.0%Only GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.4 Nano measured
Vibe Code Bench (Vals AI)Not measured26.1%Only GPT-5.4 Nano measured
Code migration (Vals AI)Not measured14.5%Only GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)Not measured41.6%Only GPT-5.4 Nano measured
SciCodeNot measured47.2%Only GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)32.6%42.4%GPT-5.4 Nano
WeirdMLNot measured49.2%Only GPT-5.4 Nano measured
ALE-BenchNot measured1004.5Only GPT-5.4 Nano measured
LMArena Text: coding14661404GLM 5V Turbo
LMArena Text: software and IT14601402GLM 5V Turbo
LMArena WebDev: React1386Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: HTML1356Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
AA Intelligence Index23.520.7GLM 5V Turbo
Epoch Capabilities IndexNot measured146.0Only GPT-5.4 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
AA Agentic IndexNot measured16.0Only GPT-5.4 Nano measured
Design Arena: agents building web apps1124Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building full-stack apps1149Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building mobile apps1134Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Android apps1267Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Godot games957Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building games1102Not measuredOnly GLM 5V Turbo measured
Design Arena: HTML slides1060Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1126Not measuredOnly GLM 5V Turbo measured
Finance Agent (Vals AI)Not measured38.2%Only GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)Not measured5.0%Only GPT-5.4 Nano measured
Legal Research Bench (Vals AI)Not measured6.3%Only GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)Not measured44.8%Only GPT-5.4 Nano measured
τ²-Bench Telecom98.5%76.0%GLM 5V Turbo
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
Reasoning benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
GPQA DiamondNot measured77.5%Only GPT-5.4 Nano measured
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)80.9%81.7%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)17.1%28.3%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)Not measured78.5%Only GPT-5.4 Nano measured
ARC-AGINot measured51.5%Only GPT-5.4 Nano measured
ARC-AGI-2Not measured5.7%Only GPT-5.4 Nano measured
Chess puzzlesNot measured45.0%Only GPT-5.4 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5.4 Nano measured
LMArena Text: hard prompts14431381GLM 5V Turbo
LMArena Text: expert14531396GLM 5V Turbo
LMArena Text: hard prompts in English14561387GLM 5V Turbo
LMArena Vision: diagrams12861210GLM 5V Turbo
LMArena Vision: homework12731225GLM 5V Turbo
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano measured
OTIS Mock AIMENot measured87.8%Only GPT-5.4 Nano measured
FrontierMath, tiers 1 to 3Not measured44.9%Only GPT-5.4 Nano measured
FrontierMath, tier 4Not measured12.2%Only GPT-5.4 Nano measured
ProofBenchNot measured5.0%Only GPT-5.4 Nano measured
LMArena Text: math14421405GLM 5V Turbo
LMArena Text: mathematical work14471409GLM 5V Turbo
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
MMLU ProNot measured77.2%Only GPT-5.4 Nano measured
LegalBench (Vals AI)Not measured77.9%Only GPT-5.4 Nano measured
CaseLaw (Vals AI)Not measured51.9%Only GPT-5.4 Nano measured
CorpFin (Vals AI)Not measured61.2%Only GPT-5.4 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5.4 Nano measured
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)Not measured41.0%Only GPT-5.4 Nano measured
SimpleQA VerifiedNot measured11.7%Only GPT-5.4 Nano measured
LMArena Text: science14481374GLM 5V Turbo
LMArena Text: medicine and healthcare14331369GLM 5V Turbo
LMArena Text: legal and government14361368GLM 5V Turbo
LMArena Text: business and finance14351366GLM 5V Turbo
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
Design Arena: websites1230Not measuredOnly GLM 5V Turbo measured
Design Arena: UI components1210Not measuredOnly GLM 5V Turbo measured
Design Arena: game dev1218Not measuredOnly GLM 5V Turbo measured
Design Arena: data viz1202Not measuredOnly GLM 5V Turbo measured
Design Arena: 3D1208Not measuredOnly GLM 5V Turbo measured
Design Arena: all code categories1227Not measuredOnly GLM 5V Turbo measured
Design Arena: SVG1150Not measuredOnly GLM 5V Turbo measured
Design Arena: ASCII art1116Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index232
General benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
SAGE (Vals AI)Not measured38.1%Only GPT-5.4 Nano measured
MedScribe (Vals AI)Not measured77.1%Only GPT-5.4 Nano measured
Vals Multimodal IndexNot measured47.6%Only GPT-5.4 Nano measured
IFBench61.1%75.9%GPT-5.4 Nano
Long context reasoning (AA-LCR)70.3%76.7%GPT-5.4 Nano
DTBenchNot measured80.3%Only GPT-5.4 Nano measured
LMCANot measured36.9%Only GPT-5.4 Nano measured
LMArena Text14371372GLM 5V Turbo
LMArena Text: instruction following14231362GLM 5V Turbo
LMArena Text: creative writing14171315GLM 5V Turbo
LMArena Vision12641196GLM 5V Turbo
LMArena Text: English14541381GLM 5V Turbo
LMArena Text: non-English14201359GLM 5V Turbo
LMArena Text: Chinese14911391GLM 5V Turbo
LMArena Text: German14221368GLM 5V Turbo
LMArena Text: JapaneseNot measured1343Only GPT-5.4 Nano measured
LMArena Text: Korean13971321GLM 5V Turbo
LMArena Text: French14431395GLM 5V Turbo
LMArena Text: Spanish14521371GLM 5V Turbo
LMArena Text: Russian14321363GLM 5V Turbo
LMArena Text: Polish14321366GLM 5V Turbo
LMArena Text: multi-turn14311382GLM 5V Turbo
LMArena Text: longer queries14381365GLM 5V Turbo
LMArena Text: writing and language14201338GLM 5V Turbo
LMArena Text: entertainment and media14071325GLM 5V Turbo
LMArena Vision: English12741202GLM 5V Turbo
LMArena Vision: Chinese13291232GLM 5V Turbo
LMArena Vision: reading text12701204GLM 5V Turbo
LMArena Vision: humor12681161GLM 5V Turbo
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things12411141GLM 5V Turbo
LMArena Vision: creative writing12521159GLM 5V Turbo
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5V Turbo and GPT-5.4 Nano
BenchmarkGLM 5V TurboGPT-5.4 NanoLeader
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 5V Turbo$0.0032Fits in one request
GPT-5.4 Nano$0.0008Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
GPT-5.4 Nano$0.014Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
GPT-5.4 Nano$0.052Fits in one request

GPT-5.4 Nano 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 5V Turbo and GPT-5.4 Nano
SpecificationZ.ai GLM 5V TurboOpenAI GPT-5.4 Nano
MakerZ.aiOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 1, 2026March 17, 2026
Context window203K400K
Input $/Mtok$1.20$0.20
Output $/Mtok$4.00$1.25
Coding indexNot benchmarked44.8
Independent measurements behind it12
Cost per solved taskNot computable$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than GPT-5.4 Nano for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GLM 5V Turbo or GPT-5.4 Nano?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GLM 5V Turbo or GPT-5.4 Nano?

GPT-5.4 Nano, with 400K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs GPT-5.4 Nano comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.

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