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GLM 4.6V vs GPT-5.4 Mini

GPT-5.4 Mini leads GLM 4.6V on the Artificial Analysis Intelligence Index, 24.1 to 11.2, and GLM 4.6V costs 5.0x less per output token ($0.90 vs $4.50 per million). Updated October 21, 2026; 34 benchmarks have a result for both.

Replace GLM 4.6V Replace GPT-5.4 Mini
GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
0
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
34
vs boards won of 34 shared

GLM 4.6V or GPT-5.4 Mini: which to pick

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding.

Pick GLM 4.6V for output tokens 5.0x cheaper ($0.90 vs $4.50 per million).

Model AGLM 4.6VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved task
Shared results
34
GLM 4.6V only
4
GPT-5.4 Mini only
55
Like-for-like categories
6 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 4.6V not benchmarked, GPT-5.4 Mini 35.8 from 5 benchmarks.
Widest category
Agentic work, 51.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.6V 31.6% against GPT-5.4 Mini 83.3%, 51.8 points apart on a 0 to 100 scale.
Output price
GLM 4.6V $0.90 against GPT-5.4 Mini $4.50 per million output tokens, 5.0x apart.
Context window
GLM 4.6V takes 131K 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 4.6VBarsGPT-5.4 MiniTies
Coding03
Intelligence01
Agentic work01
Reasoning07
Knowledge04
General018
All shared boards034
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
LMArena WebDevNot measured1397Only GPT-5.4 Mini measured
AA Coding IndexNot measured56.1Only GPT-5.4 Mini measured
LiveCodeBench (Vals AI)Not measured81.5%Only GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)Not measured73.0%Only GPT-5.4 Mini measured
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)41.1%Not measuredOnly GLM 4.6V measured
SciCodeNot measured52.1%Only GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)14.4%52.3%GPT-5.4 Mini
FrontierCodeNot measured27.0%Only GPT-5.4 Mini measured
WeirdMLNot measured60.3%Only GPT-5.4 Mini measured
ALE-BenchNot measured1188.6Only GPT-5.4 Mini measured
LMArena Text: coding13891438GPT-5.4 Mini
LMArena Text: software and IT13911436GPT-5.4 Mini
LMArena WebDev: ReactNot measured1386Only GPT-5.4 Mini measured
LMArena WebDev: HTMLNot measured1419Only GPT-5.4 Mini measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
AA Intelligence Index11.224.1GPT-5.4 Mini
Epoch Capabilities IndexNot measured148.7Only GPT-5.4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
AA Agentic IndexNot measured17.9Only GPT-5.4 Mini 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 Telecom31.6%83.3%GPT-5.4 Mini
DeepResearch BenchNot measured36.3%Only GPT-5.4 Mini measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
GPQA DiamondNot measured83.1%Only GPT-5.4 Mini measured
MMMU Pro (Vals AI)Not measured79.3%Only GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)71.9%87.5%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)9.6%28.1%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)Not measured86.9%Only GPT-5.4 Mini measured
ARC-AGINot measured63.7%Only GPT-5.4 Mini measured
ARC-AGI-2Not measured18.9%Only GPT-5.4 Mini measured
Chess puzzlesNot measured23.0%Only GPT-5.4 Mini measured
Mystery game puzzlesNot measured11.0%Only GPT-5.4 Mini measured
LMArena Text: hard prompts13671424GPT-5.4 Mini
LMArena Text: expert13711435GPT-5.4 Mini
LMArena Text: hard prompts in English13911420GPT-5.4 Mini
LMArena Vision: diagrams11821266GPT-5.4 Mini
LMArena Vision: homework11551285GPT-5.4 Mini
Kagi LLM BenchmarkNot measured37.9%Only GPT-5.4 Mini measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
AIMENot measured95.6%Only GPT-5.4 Mini measured
AA Math Index85.3Not measuredOnly GLM 4.6V measured
AIME 2025 (Artificial Analysis run)85.3%Not measuredOnly GLM 4.6V measured
OTIS Mock AIMENot measured88.9%Only GPT-5.4 Mini measured
FrontierMath, tiers 1 to 3Not measured51.2%Only GPT-5.4 Mini measured
FrontierMath, tier 4Not measured9.8%Only GPT-5.4 Mini measured
ProofBenchNot measured21.0%Only GPT-5.4 Mini measured
LMArena Text: mathNot measured1418Only GPT-5.4 Mini measured
LMArena Text: mathematical workNot measured1429Only GPT-5.4 Mini measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
MMLU ProNot measured84.5%Only GPT-5.4 Mini measured
CaseLaw (Vals AI)Not measured51.7%Only GPT-5.4 Mini measured
CorpFin (Vals AI)Not measured60.9%Only GPT-5.4 Mini measured
TaxEval (Vals AI)Not measured71.2%Only GPT-5.4 Mini measured
MortgageTax (Vals AI)Not measured63.5%Only GPT-5.4 Mini measured
MMLU Pro (Artificial Analysis run)79.9%Not measuredOnly GLM 4.6V measured
SimpleQA VerifiedNot measured29.4%Only GPT-5.4 Mini measured
LMArena Text: science13891417GPT-5.4 Mini
LMArena Text: medicine and healthcare13891395GPT-5.4 Mini
LMArena Text: legal and government13931414GPT-5.4 Mini
LMArena Text: business and finance13591418GPT-5.4 Mini
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-5.4 MiniLeader
SAGE (Vals AI)Not measured50.8%Only GPT-5.4 Mini measured
Vals Multimodal IndexNot measured54.2%Only GPT-5.4 Mini measured
IFBench30.1%73.3%GPT-5.4 Mini
Long context reasoning (AA-LCR)48.7%77.0%GPT-5.4 Mini
DTBenchNot measured80.0%Only GPT-5.4 Mini measured
LMCANot measured40.8%Only GPT-5.4 Mini measured
LMArena Text13761412GPT-5.4 Mini
LMArena Text: instruction following13501405GPT-5.4 Mini
LMArena Text: creative writing13471370GPT-5.4 Mini
LMArena Vision11641245GPT-5.4 Mini
LMArena Text: English13951412GPT-5.4 Mini
LMArena Text: non-English13581405GPT-5.4 Mini
LMArena Text: Chinese14251446GPT-5.4 Mini
LMArena Text: GermanNot measured1408Only GPT-5.4 Mini measured
LMArena Text: JapaneseNot measured1375Only GPT-5.4 Mini measured
LMArena Text: KoreanNot measured1370Only GPT-5.4 Mini measured
LMArena Text: FrenchNot measured1441Only GPT-5.4 Mini measured
LMArena Text: SpanishNot measured1405Only GPT-5.4 Mini measured
LMArena Text: Russian13391417GPT-5.4 Mini
LMArena Text: PolishNot measured1415Only GPT-5.4 Mini measured
LMArena Text: multi-turn13591429GPT-5.4 Mini
LMArena Text: longer queries13571408GPT-5.4 Mini
LMArena Text: writing and language13471393GPT-5.4 Mini
LMArena Text: entertainment and media13431373GPT-5.4 Mini
LMArena Vision: English11791244GPT-5.4 Mini
LMArena Vision: Chinese12171286GPT-5.4 Mini
LMArena Vision: reading text11711253GPT-5.4 Mini
LMArena Vision: humorNot measured1235Only GPT-5.4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only GPT-5.4 Mini measured
LMArena Vision: creative writing11131222GPT-5.4 Mini
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6V and GPT-5.4 Mini
BenchmarkGLM 4.6VGPT-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 4.6V$0.0008Fits in one request
GPT-5.4 Mini$0.0030Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

GLM 4.6V$0.018Fits in one request
GPT-5.4 Mini$0.051Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

GLM 4.6V$0.069Exceeds the context window
GPT-5.4 Mini$0.195Fits in one request

GLM 4.6V 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 4.6V and GPT-5.4 Mini
SpecificationZ.ai GLM 4.6VOpenAI GPT-5.4 Mini
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 8, 2025March 17, 2026
Context window131K400K
Input $/Mtok$0.30$0.75
Output $/Mtok$0.90$4.50
Coding indexNot benchmarked35.8
Independent measurements behind it05
Cost per solved taskNot computable$0.70
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6V better than GPT-5.4 Mini for coding?

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding. Pick GLM 4.6V for output tokens 5.0x cheaper ($0.90 vs $4.50 per million).

Which is cheaper, GLM 4.6V or GPT-5.4 Mini?

GLM 4.6V costs $0.30 per million input tokens and $0.90 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Cost per solved task is known for GPT-5.4 Mini only.

Which has the bigger context window, GLM 4.6V or GPT-5.4 Mini?

GPT-5.4 Mini, with 400K tokens against 131K.

How many benchmarks is the GLM 4.6V vs GPT-5.4 Mini comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. GLM 4.6V's coding index rests on 0 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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