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GLM 5.1 vs GPT-5.4 Nano

GLM 5.1 leads GPT-5.4 Nano on coding, 49.2 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 3.5x less per output token ($1.25 vs $4.40 per million). Updated October 22, 2026; 63 benchmarks have a result for both.

GLM 5.1Z.ai
Coding
49.2
Overall
57.5
Output $/M
$4.40
54
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
9
vs boards won of 63 shared

GLM 5.1 or GPT-5.4 Nano: which to pick

Pick GLM 5.1 for coding: it scores 49.2 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

Pick GPT-5.4 Nano for output tokens 3.5x cheaper ($1.25 vs $4.40 per million) and a lower cost per solved task ($0.14 against $0.60).

Shared results
63
GLM 5.1 only
26
GPT-5.4 Nano only
22
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 5.1 49.2 from 3 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
General, 14.6 points apart on average over 20 shared benchmarks.
Widest single gap
Chess puzzles: GLM 5.1 20.0% against GPT-5.4 Nano 45.0%, 25.0 points apart on a 0 to 100 scale.
Output price
GLM 5.1 $4.40 against GPT-5.4 Nano $1.25 per million output tokens, 3.5x apart.
Context window
GLM 5.1 takes 205K 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 5.1BarsGPT-5.4 NanoTies
Coding84
Intelligence20
Agentic work40
Reasoning71
Math51
Knowledge101
General182
All shared boards549
CodingLike-for-likeSix of these boards feed the Vibe Coding Index84
Coding benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
LMArena WebDev1508Not measuredOnly GLM 5.1 measured
AA Coding Index55.856.1GPT-5.4 Nano
LiveCodeBench (Vals AI)81.4%84.0%GPT-5.4 Nano
SWE-bench Verified (Vals AI)76.4%69.8%GLM 5.1
Vibe Code Bench (Vals AI)31.5%26.1%GLM 5.1
Code migration (Vals AI)25.8%14.5%GLM 5.1
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.1 measured
Terminal-Bench 2.1 (Vals AI)56.9%41.6%GLM 5.1
SciCode44.8%47.2%GPT-5.4 Nano
Terminal-Bench Hard (Artificial Analysis run)43.2%42.4%GLM 5.1
WeirdML57.1%49.2%GLM 5.1
ALE-Bench887.11004.5GPT-5.4 Nano
LMArena Text: coding14851404GLM 5.1
LMArena Text: software and IT14841402GLM 5.1
LMArena WebDev: React1505Not measuredOnly GLM 5.1 measured
LMArena WebDev: HTML1508Not measuredOnly GLM 5.1 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
AA Intelligence Index26.120.7GLM 5.1
Epoch Capabilities Index149.8146.0GLM 5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
AA Agentic Index23.916.0GLM 5.1
Design Arena: agents building web apps1175Not measuredOnly GLM 5.1 measured
Design Arena: agents building full-stack apps1167Not measuredOnly GLM 5.1 measured
Design Arena: agents building mobile apps1162Not measuredOnly GLM 5.1 measured
Design Arena: agents building Android apps1182Not measuredOnly GLM 5.1 measured
Design Arena: agents building Godot games1053Not measuredOnly GLM 5.1 measured
Design Arena: agents building games1164Not measuredOnly GLM 5.1 measured
Design Arena: HTML slides1120Not measuredOnly GLM 5.1 measured
Design Arena: PowerPoint slides1163Not measuredOnly GLM 5.1 measured
Design Arena: spreadsheets1315Not measuredOnly GLM 5.1 measured
Finance Agent (Vals AI)44.8%38.2%GLM 5.1
Tax Agent Bench (Vals AI)Not measured5.0%Only GPT-5.4 Nano measured
Legal Research Bench (Vals AI)27.9%6.3%GLM 5.1
Excel Modeling Benchmark (Vals AI)Not measured44.8%Only GPT-5.4 Nano measured
τ²-Bench Telecom97.7%76.0%GLM 5.1
APEX-Agents40.9%Not measuredOnly GLM 5.1 measured
Vending-Bench 2$5,634Not measuredOnly GLM 5.1 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
Reasoning benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
GPQA Diamond84.5%77.5%GLM 5.1
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)86.8%81.7%GLM 5.1
Humanity's Last Exam (Artificial Analysis run)30.1%28.3%GLM 5.1
GPQA Diamond (Epoch AI run)89.9%78.5%GLM 5.1
ARC-AGINot measured51.5%Only GPT-5.4 Nano measured
ARC-AGI-2Not measured5.7%Only GPT-5.4 Nano measured
SimpleBench55.1%Not measuredOnly GLM 5.1 measured
Chess puzzles20.0%45.0%GPT-5.4 Nano
Mystery game puzzlesNot measured9.0%Only GPT-5.4 Nano measured
LMArena Text: hard prompts14731381GLM 5.1
LMArena Text: expert14781396GLM 5.1
LMArena Text: hard prompts in English14821387GLM 5.1
LMArena Vision: diagramsNot measured1210Only GPT-5.4 Nano measured
LMArena Vision: homeworkNot measured1225Only GPT-5.4 Nano measured
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
AIME91.9%88.8%GLM 5.1
OTIS Mock AIME93.3%87.8%GLM 5.1
FrontierMath, tiers 1 to 336.8%44.9%GPT-5.4 Nano
FrontierMath, tier 4Not measured12.2%Only GPT-5.4 Nano measured
ProofBench22.2%5.0%GLM 5.1
LMArena Text: math14731405GLM 5.1
LMArena Text: mathematical work14701409GLM 5.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index101
Knowledge benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
MMLU Pro86.9%77.2%GLM 5.1
LegalBench (Vals AI)84.4%77.9%GLM 5.1
CaseLaw (Vals AI)51.5%51.9%GPT-5.4 Nano
CorpFin (Vals AI)64.5%61.2%GLM 5.1
TaxEval (Vals AI)71.2%67.4%GLM 5.1
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)41.6%41.0%GLM 5.1
SimpleQA Verified34.0%11.7%GLM 5.1
LMArena Text: science14781374GLM 5.1
LMArena Text: medicine and healthcare14741369GLM 5.1
LMArena Text: legal and government14651368GLM 5.1
LMArena Text: business and finance14521366GLM 5.1
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
Design Arena: websites1290Not measuredOnly GLM 5.1 measured
Design Arena: UI components1292Not measuredOnly GLM 5.1 measured
Design Arena: game dev1265Not measuredOnly GLM 5.1 measured
Design Arena: data viz1366Not measuredOnly GLM 5.1 measured
Design Arena: 3D1336Not measuredOnly GLM 5.1 measured
Design Arena: all code categories1268Not measuredOnly GLM 5.1 measured
Design Arena: SVG1218Not measuredOnly GLM 5.1 measured
Design Arena: ASCII art1141Not measuredOnly GLM 5.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for GLM 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-5.4 NanoLeader
Public Benefits Bench (Vals AI)61.8%Not measuredOnly GLM 5.1 measured
SAGE (Vals AI)Not measured38.1%Only GPT-5.4 Nano measured
MedScribe (Vals AI)72.3%77.1%GPT-5.4 Nano
Vals Multimodal IndexNot measured47.6%Only GPT-5.4 Nano measured
IFBench76.3%75.9%GLM 5.1
Long context reasoning (AA-LCR)73.7%76.7%GPT-5.4 Nano
DTBenchNot measured80.3%Only GPT-5.4 Nano measured
LMCANot measured36.9%Only GPT-5.4 Nano measured
ExploitBench18.1%Not measuredOnly GLM 5.1 measured
LMArena Text14631372GLM 5.1
LMArena Text: instruction following14531362GLM 5.1
LMArena Text: creative writing14531315GLM 5.1
LMArena VisionNot measured1196Only GPT-5.4 Nano measured
LMArena Text: English14761381GLM 5.1
LMArena Text: non-English14481359GLM 5.1
LMArena Text: Chinese15151391GLM 5.1
LMArena Text: German14671368GLM 5.1
LMArena Text: Japanese14351343GLM 5.1
LMArena Text: Korean14241321GLM 5.1
LMArena Text: French14701395GLM 5.1
LMArena Text: Spanish14681371GLM 5.1
LMArena Text: Russian14541363GLM 5.1
LMArena Text: Polish14491366GLM 5.1
LMArena Text: multi-turn14731382GLM 5.1
LMArena Text: longer queries14671365GLM 5.1
LMArena Text: writing and language14541338GLM 5.1
LMArena Text: entertainment and media14421325GLM 5.1
LMArena Vision: EnglishNot measured1202Only GPT-5.4 Nano measured
LMArena Vision: ChineseNot measured1232Only GPT-5.4 Nano measured
LMArena Vision: reading textNot measured1204Only GPT-5.4 Nano measured
LMArena Vision: humorNot measured1161Only GPT-5.4 Nano measured
LMArena Vision: recognizing thingsNot measured1141Only GPT-5.4 Nano measured
LMArena Vision: creative writingNot measured1159Only GPT-5.4 Nano 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 5.1 and GPT-5.4 Nano
BenchmarkGLM 5.1GPT-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 5.1$0.0036Fits 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 5.1$0.083Fits 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 5.1$0.324Exceeds 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 5.1 and GPT-5.4 Nano
SpecificationZ.ai GLM 5.1OpenAI GPT-5.4 Nano
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 7, 2026March 17, 2026
Context window205K400K
Input $/Mtok$1.40$0.20
Output $/Mtok$4.40$1.25
Coding index49.244.8
Independent measurements behind it32
Cost per solved task$0.60$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.1 better than GPT-5.4 Nano for coding?

Pick GLM 5.1 for coding: it scores 49.2 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 3.5x cheaper ($1.25 vs $4.40 per million) and a lower cost per solved task ($0.14 against $0.60).

Which is cheaper, GLM 5.1 or GPT-5.4 Nano?

GLM 5.1 costs $1.40 per million input tokens and $4.40 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, GLM 5.1 costs $0.60 and GPT-5.4 Nano $0.14.

Which has the bigger context window, GLM 5.1 or GPT-5.4 Nano?

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

How many benchmarks is the GLM 5.1 vs GPT-5.4 Nano comparison based on?

63 benchmarks have a result for both models as of October 22, 2026. GLM 5.1's coding index rests on 3 independent benchmarks 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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