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GLM 4.5V vs o3 Mini

Updated October 21, 2026. 33 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.5V Replace o3 Mini
GLM 4.5VZ.ai
Coding
No data
Overall
7.6
Output $/M
$1.80
8
o3 MiniOpenAI
Coding
No data
Overall
12.5
Output $/M
$4.40
24
vs boards won of 33 shared, 1 tied

Decision reading

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

GLM 4.5V has the edge where output tokens cost 2.4x less, and where what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGLM 4.5VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
GLM 4.5V only
7
o3 Mini only
37
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, o3 Mini not benchmarked.
Widest category
Agentic work, 8.8 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.5V 0.0% against o3 Mini 43.0%, 43.0 points apart on a 0 to 100 scale.
Output price
GLM 4.5V $1.80 against o3 Mini $4.40 per million output tokens, 2.4x apart.
Context window
GLM 4.5V takes 66K tokens, o3 Mini 200K.

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 4.5VBarso3 MiniTies
Coding031 tie
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge23
General69
All shared boards8241 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
Aider polyglotNot measured60.4%Only o3 Mini measured
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench LiteNot measured32.3%Only o3 Mini measured
LiveCodeBench (Vals AI)Not measured71.5%Only o3 Mini measured
LiveCodeBench (Artificial Analysis run)60.4%73.4%o3 Mini
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)6.8%6.8%Tie
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdMLNot measured43.7%Only o3 Mini measured
CybenchNot measured22.5%Only o3 Mini measured
LMArena Text: coding13471378o3 Mini
LMArena Text: software and IT13531364o3 Mini
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
AA Intelligence Index7.612.5o3 Mini
Epoch Capabilities IndexNot measured140.2Only o3 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
τ²-Bench Telecom22.5%31.3%o3 Mini
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
GPQA DiamondNot measured75.5%Only o3 Mini measured
GPQA Diamond (Artificial Analysis run)68.4%77.3%o3 Mini
Humanity's Last Exam (Artificial Analysis run)6.3%12.0%o3 Mini
GPQA Diamond (Epoch AI run)Not measured77.0%Only o3 Mini measured
ARC-AGINot measured34.5%Only o3 Mini measured
ARC-AGI-2Not measured3.0%Only o3 Mini measured
SimpleBenchNot measured22.8%Only o3 Mini measured
Chess puzzlesNot measured15.0%Only o3 Mini measured
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard prompts13351365o3 Mini
LMArena Text: expert13531364o3 Mini
LMArena Text: hard prompts in English13571375o3 Mini
LMArena Vision: diagrams1151Not measuredOnly GLM 4.5V measured
LMArena Vision: homework1163Not measuredOnly GLM 4.5V measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
AIMENot measured86.5%Only o3 Mini measured
MATH 500 (Vals AI)Not measured91.8%Only o3 Mini measured
MGSM (Vals AI)Not measured91.3%Only o3 Mini measured
AA Math Index73.0Not measuredOnly GLM 4.5V measured
AIME 2025 (Artificial Analysis run)73.0%Not measuredOnly GLM 4.5V measured
OTIS Mock AIMENot measured76.9%Only o3 Mini measured
FrontierMath, tiers 1 to 3Not measured18.6%Only o3 Mini measured
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 5Not measured96.5%Only o3 Mini measured
LMArena Text: math13541396o3 Mini
LMArena Text: mathematical work13361399o3 Mini
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
MMLU ProNot measured78.7%Only o3 Mini measured
LegalBench (Vals AI)Not measured71.5%Only o3 Mini measured
CorpFin (Vals AI)Not measured45.3%Only o3 Mini measured
TaxEval (Vals AI)Not measured69.4%Only o3 Mini measured
MedQA (Vals AI)Not measured94.8%Only o3 Mini measured
MMLU Pro (Artificial Analysis run)78.8%80.2%o3 Mini
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
LMArena Text: science13301339o3 Mini
LMArena Text: medicine and healthcare13491330GLM 4.5V
LMArena Text: legal and government13381328GLM 4.5V
LMArena Text: business and finance13091313o3 Mini
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index69
General benchmarks for GLM 4.5V and o3 Mini
BenchmarkGLM 4.5Vo3 MiniLeader
IFBench34.2%67.1%o3 Mini
Long context reasoning (AA-LCR)0.0%43.0%o3 Mini
DTBenchNot measured68.8%Only o3 Mini measured
LMCANot measured19.0%Only o3 Mini measured
Fiction.LiveBenchNot measured50.0%Only o3 Mini measured
Creative writing (Lech Mazur)Not measured61.7%Only o3 Mini measured
LMArena Text13331337o3 Mini
LMArena Text: instruction following13111337o3 Mini
LMArena Text: creative writing12941286GLM 4.5V
LMArena Vision1154Not measuredOnly GLM 4.5V measured
LMArena Text: English13621351GLM 4.5V
LMArena Text: non-English13031319o3 Mini
LMArena Text: Chinese13371379o3 Mini
LMArena Text: GermanNot measured1303Only o3 Mini measured
LMArena Text: JapaneseNot measured1286Only o3 Mini measured
LMArena Text: KoreanNot measured1313Only o3 Mini measured
LMArena Text: FrenchNot measured1334Only o3 Mini measured
LMArena Text: Spanish13361321GLM 4.5V
LMArena Text: Russian12981304o3 Mini
LMArena Text: Polish13021294GLM 4.5V
LMArena Text: multi-turn13331320GLM 4.5V
LMArena Text: longer queries13051343o3 Mini
LMArena Text: writing and language13021313o3 Mini
LMArena Text: entertainment and media13031283GLM 4.5V
LMArena Vision: English1183Not measuredOnly GLM 4.5V measured
LMArena Vision: reading text1151Not measuredOnly GLM 4.5V measured
Neither model has a result on the other 20 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 o3 Mini
BenchmarkGLM 4.5Vo3 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 4.5V$0.0015Fits in one request
o3 Mini$0.0033Fits in one request

GLM 4.5V costs less

Repository review

50K input + 3K output tokens

GLM 4.5V$0.035Fits in one request
o3 Mini$0.068Fits in one request

GLM 4.5V costs less

Agent loop

200K input + 10K output tokens

GLM 4.5V$0.138Exceeds the context window
o3 Mini$0.264Exceeds the context window

GLM 4.5V 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 o3 Mini
SpecificationZ.ai GLM 4.5VOpenAI o3 Mini
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 11, 2025January 31, 2025
Context window66K200K
Input $/Mtok$0.60$1.10
Output $/Mtok$1.80$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5V better than o3 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. GLM 4.5V has the edge where output tokens cost 2.4x less, and where what matters is LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GLM 4.5V or o3 Mini?

GLM 4.5V costs $0.60 per million input tokens and $1.80 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.5V or o3 Mini?

o3 Mini, with 200K tokens against 66K.

How many benchmarks is the GLM 4.5V vs o3 Mini comparison based on?

33 benchmarks have a result for both models as of October 21, 2026. GLM 4.5V's coding index rests on 0 independent benchmarks and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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