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GLM 4.5V vs GPT-5 Nano

GPT-5 Nano leads GLM 4.5V on the Artificial Analysis Intelligence Index, 13.0 to 7.6, and GPT-5 Nano costs 4.5x less per output token ($0.40 vs $1.80 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace GLM 4.5V Replace GPT-5 Nano
GLM 4.5VZ.ai
Coding
No data
Overall
No data
Output $/M
$1.80
22
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
19
vs boards won of 41 shared

GLM 4.5V or GPT-5 Nano: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 4.5V for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGLM 4.5VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved task
Shared results
41
GLM 4.5V only
0
GPT-5 Nano only
46
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 4.5V not benchmarked, GPT-5 Nano not benchmarked.
Widest category
Agentic work, 14.0 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.5V 0.0% against GPT-5 Nano 45.0%, 45.0 points apart on a 0 to 100 scale.
Output price
GLM 4.5V $1.80 against GPT-5 Nano $0.40 per million output tokens, 4.5x apart.
Context window
GLM 4.5V takes 66K tokens, GPT-5 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 4.5VBarsGPT-5 NanoTies
Coding13
Intelligence01
Agentic work01
Reasoning62
Math22
Knowledge41
General99
All shared boards2219
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
SWE-bench VerifiedNot measured34.8%Only GPT-5 Nano measured
LiveCodeBench (Vals AI)Not measured70.2%Only GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)60.4%78.9%GPT-5 Nano
Terminal-Bench Hard (Artificial Analysis run)6.8%17.4%GPT-5 Nano
Terminal-BenchNot measured21.8%Only GPT-5 Nano measured
WeirdMLNot measured38.1%Only GPT-5 Nano measured
LMArena Text: coding13471351GPT-5 Nano
LMArena Text: software and IT13531345GLM 4.5V
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
AA Intelligence Index7.613.0GPT-5 Nano
Epoch Capabilities IndexNot measured139.2Only GPT-5 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
τ²-Bench Telecom22.5%36.5%GPT-5 Nano
Berkeley Function Calling Leaderboard (BFCL)Not measured51.4%Only GPT-5 Nano measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index62
Reasoning benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
GPQA DiamondNot measured63.4%Only GPT-5 Nano measured
MMMU Pro (Vals AI)Not measured70.9%Only GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)68.4%67.6%GLM 4.5V
Humanity's Last Exam (Artificial Analysis run)6.3%9.5%GPT-5 Nano
GPQA Diamond (Epoch AI run)Not measured69.4%Only GPT-5 Nano measured
ARC-AGINot measured20.7%Only GPT-5 Nano measured
ARC-AGI-2Not measured2.6%Only GPT-5 Nano measured
Chess puzzlesNot measured22.0%Only GPT-5 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5 Nano measured
VPCTNot measured37.2%Only GPT-5 Nano measured
LMArena Text: hard prompts13351328GLM 4.5V
LMArena Text: expert13531321GLM 4.5V
LMArena Text: hard prompts in English13571338GLM 4.5V
LMArena Vision: diagrams11511141GLM 4.5V
LMArena Vision: homework11631157GLM 4.5V
Kagi LLM Benchmark59.8%62.2%GPT-5 Nano
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
AIMENot measured81.2%Only GPT-5 Nano measured
MATH 500 (Vals AI)Not measured93.8%Only GPT-5 Nano measured
MGSM (Vals AI)Not measured89.3%Only GPT-5 Nano measured
AA Math Index73.083.7GPT-5 Nano
AIME 2025 (Artificial Analysis run)73.0%83.7%GPT-5 Nano
OTIS Mock AIMENot measured81.1%Only GPT-5 Nano measured
FrontierMath, tiers 1 to 3Not measured20.0%Only GPT-5 Nano measured
FrontierMath, tier 4Not measured2.4%Only GPT-5 Nano measured
ProofBenchNot measured12.0%Only GPT-5 Nano measured
MATH level 5Not measured95.2%Only GPT-5 Nano measured
LMArena Text: math13541317GLM 4.5V
LMArena Text: mathematical work13361326GLM 4.5V
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
MMLU ProNot measured76.1%Only GPT-5 Nano measured
LegalBench (Vals AI)Not measured50.1%Only GPT-5 Nano measured
CaseLaw (Vals AI)Not measured52.6%Only GPT-5 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5 Nano measured
MortgageTax (Vals AI)Not measured53.6%Only GPT-5 Nano measured
MedQA (Vals AI)Not measured93.3%Only GPT-5 Nano measured
MedCode (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)78.8%78.0%GLM 4.5V
SimpleQA VerifiedNot measured11.7%Only GPT-5 Nano measured
LMArena Text: science13301318GLM 4.5V
LMArena Text: medicine and healthcare13491335GLM 4.5V
LMArena Text: legal and government13381298GLM 4.5V
LMArena Text: business and finance13091311GPT-5 Nano
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
Design Arena: websitesNot measured1101Only GPT-5 Nano measured
Design Arena: UI componentsNot measured1064Only GPT-5 Nano measured
Design Arena: game devNot measured1044Only GPT-5 Nano measured
Design Arena: data vizNot measured1056Only GPT-5 Nano measured
Design Arena: 3DNot measured965Only GPT-5 Nano measured
Design Arena: all code categoriesNot measured1084Only GPT-5 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index99
General benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 NanoLeader
SAGE (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MedScribe (Vals AI)Not measured72.9%Only GPT-5 Nano measured
IFBench34.2%67.6%GPT-5 Nano
Long context reasoning (AA-LCR)0.0%45.0%GPT-5 Nano
DTBenchNot measured62.7%Only GPT-5 Nano measured
LMCANot measured7.9%Only GPT-5 Nano measured
Fiction.LiveBenchNot measured44.4%Only GPT-5 Nano measured
LMArena Text13331320GLM 4.5V
LMArena Text: instruction following13111306GLM 4.5V
LMArena Text: creative writing12941249GLM 4.5V
LMArena Vision11541159GPT-5 Nano
LMArena Text: English13621321GLM 4.5V
LMArena Text: non-English13031313GPT-5 Nano
LMArena Text: Chinese13371356GPT-5 Nano
LMArena Text: GermanNot measured1327Only GPT-5 Nano measured
LMArena Text: JapaneseNot measured1227Only GPT-5 Nano measured
LMArena Text: KoreanNot measured1269Only GPT-5 Nano measured
LMArena Text: Spanish13361360GPT-5 Nano
LMArena Text: Russian12981296GLM 4.5V
LMArena Text: Polish13021314GPT-5 Nano
LMArena Text: multi-turn13331311GLM 4.5V
LMArena Text: longer queries13051312GPT-5 Nano
LMArena Text: writing and language13021283GLM 4.5V
LMArena Text: entertainment and media13031268GLM 4.5V
LMArena Vision: English11831170GLM 4.5V
LMArena Vision: ChineseNot measured1176Only GPT-5 Nano measured
LMArena Vision: reading text11511152GPT-5 Nano
LMArena Vision: humorNot measured1110Only GPT-5 Nano measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5V and GPT-5 Nano
BenchmarkGLM 4.5VGPT-5 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 4.5V$0.0015Fits in one request
GPT-5 Nano$0.0003Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GLM 4.5V$0.035Fits in one request
GPT-5 Nano$0.0037Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GLM 4.5V$0.138Exceeds the context window
GPT-5 Nano$0.014Fits in one request

GPT-5 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 4.5V and GPT-5 Nano
SpecificationZ.ai GLM 4.5VOpenAI GPT-5 Nano
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 11, 2025August 7, 2025
Context window66K400K
Input $/Mtok$0.60$0.05
Output $/Mtok$1.80$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$0.109
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5V better than GPT-5 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5V for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, GLM 4.5V or GPT-5 Nano?

GLM 4.5V costs $0.60 per million input tokens and $1.80 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, GLM 4.5V or GPT-5 Nano?

GPT-5 Nano, with 400K tokens against 66K.

How many benchmarks is the GLM 4.5V vs GPT-5 Nano comparison based on?

41 benchmarks have a result for both models as of October 22, 2026. GLM 4.5V's coding index rests on 0 independent benchmarks and GPT-5 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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