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GLM 4.5 vs o3 Mini

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 4.5Z.ai
Coding
64.2
Overall
12.8
Output $/M
$2.20
44
o3 MiniOpenAI
Coding
52.1
Overall
12.5
Output $/M
$4.40
6
vs boards won of 50 shared

Decision reading

Pick GLM 4.5 for coding: it scores 64.2 on the Vibe Coding Index against 52.1 for o3 Mini, though on 1 benchmark against 2.

Pick o3 Mini when the context window is larger, 200K against 131K tokens, or when what matters is LiveCodeBench (Vals AI) or WeirdML, where it leads.

Shared results
50
GLM 4.5 only
10
o3 Mini only
20
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 4.5 64.2 from 1 benchmark, o3 Mini 52.1 from 2 benchmarks.
Widest category
General, 16.1 points apart on average over 20 shared benchmarks.
Widest single gap
IFBench: GLM 4.5 44.1% against o3 Mini 67.1%, 23.1 points apart on a 0 to 100 scale.
Output price
GLM 4.5 $2.20 against o3 Mini $4.40 per million output tokens, 2.0x apart.
Context window
GLM 4.5 takes 131K 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 4.5Barso3 MiniTies
Coding52
Intelligence10
Agentic work10
Reasoning51
Math41
Knowledge91
General191
All shared boards446
CodingLike-for-likeFour of these boards feed the Vibe Coding Index52
Coding benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
Aider polyglotNot measured60.4%Only o3 Mini measured
SWE-bench Verified64.2%42.4%GLM 4.5
SWE-bench LiteNot measured32.3%Only o3 Mini measured
LiveCodeBench (Vals AI)67.5%71.5%o3 Mini
LiveCodeBench (Artificial Analysis run)73.8%73.4%GLM 4.5
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)22.0%6.8%GLM 4.5
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdML40.6%43.7%o3 Mini
CybenchNot measured22.5%Only o3 Mini measured
ALE-Bench344.8Not measuredOnly GLM 4.5 measured
LMArena Text: coding14341378GLM 4.5
LMArena Text: software and IT14401364GLM 4.5
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
AA Intelligence Index12.812.5GLM 4.5
Epoch Capabilities IndexNot measured140.2Only o3 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
τ²-Bench Telecom43.0%31.3%GLM 4.5
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
GPQA Diamond72.2%75.5%o3 Mini
GPQA Diamond (Artificial Analysis run)78.2%77.3%GLM 4.5
Humanity's Last Exam (Artificial Analysis run)13.0%12.0%GLM 4.5
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 prompts14291365GLM 4.5
LMArena Text: expert14331364GLM 4.5
LMArena Text: hard prompts in English14291375GLM 4.5
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index41
Math benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
AIME86.7%86.5%GLM 4.5
MATH 500 (Vals AI)94.0%91.8%GLM 4.5
MGSM (Vals AI)90.8%91.3%o3 Mini
AA Math Index73.7Not measuredOnly GLM 4.5 measured
AIME 2025 (Artificial Analysis run)73.7%Not measuredOnly GLM 4.5 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: math14271396GLM 4.5
LMArena Text: mathematical work14301399GLM 4.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
MMLU Pro81.2%78.7%GLM 4.5
LegalBench (Vals AI)75.6%71.5%GLM 4.5
CorpFin (Vals AI)61.0%45.3%GLM 4.5
TaxEval (Vals AI)72.4%69.4%GLM 4.5
MedQA (Vals AI)90.0%94.8%o3 Mini
MMLU Pro (Artificial Analysis run)83.5%80.2%GLM 4.5
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
LMArena Text: science14441339GLM 4.5
LMArena Text: medicine and healthcare14551330GLM 4.5
LMArena Text: legal and government14381328GLM 4.5
LMArena Text: business and finance14201313GLM 4.5
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
Design Arena: websites1170Not measuredOnly GLM 4.5 measured
Design Arena: UI components1144Not measuredOnly GLM 4.5 measured
Design Arena: game dev1145Not measuredOnly GLM 4.5 measured
Design Arena: data viz1159Not measuredOnly GLM 4.5 measured
Design Arena: 3D1170Not measuredOnly GLM 4.5 measured
Design Arena: all code categories1165Not measuredOnly GLM 4.5 measured
Design Arena: SVG1096Not measuredOnly GLM 4.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 MiniLeader
IFBench44.1%67.1%o3 Mini
Long context reasoning (AA-LCR)52.7%43.0%GLM 4.5
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)73.4%61.7%GLM 4.5
LMArena Text14301337GLM 4.5
LMArena Text: instruction following14041337GLM 4.5
LMArena Text: creative writing13951286GLM 4.5
LMArena Text: English14371351GLM 4.5
LMArena Text: non-English14171319GLM 4.5
LMArena Text: Chinese14651379GLM 4.5
LMArena Text: German14071303GLM 4.5
LMArena Text: Japanese14151286GLM 4.5
LMArena Text: Korean13801313GLM 4.5
LMArena Text: French14181334GLM 4.5
LMArena Text: Spanish14541321GLM 4.5
LMArena Text: Russian14131304GLM 4.5
LMArena Text: Polish14221294GLM 4.5
LMArena Text: multi-turn14151320GLM 4.5
LMArena Text: longer queries14121343GLM 4.5
LMArena Text: writing and language14031313GLM 4.5
LMArena Text: entertainment and media14041283GLM 4.5
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 and o3 Mini
BenchmarkGLM 4.5o3 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 4.5$0.0017Fits in one request
o3 Mini$0.0033Fits in one request

GLM 4.5 costs less

Repository review

50K input + 3K output tokens

GLM 4.5$0.037Fits in one request
o3 Mini$0.068Fits in one request

GLM 4.5 costs less

Agent loop

200K input + 10K output tokens

GLM 4.5$0.142Exceeds the context window
o3 Mini$0.264Exceeds the context window

GLM 4.5 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 4.5 and o3 Mini
SpecificationZ.ai GLM 4.5OpenAI o3 Mini
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJuly 25, 2025January 31, 2025
Context window131K200K
Input $/Mtok$0.60$1.10
Output $/Mtok$2.20$4.40
Coding index64.252.1
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 better than o3 Mini for coding?

Pick GLM 4.5 for coding: it scores 64.2 on the Vibe Coding Index against 52.1 for o3 Mini, though on 1 benchmark against 2. Pick o3 Mini when the context window is larger, 200K against 131K tokens, or when what matters is LiveCodeBench (Vals AI) or WeirdML, where it leads.

Which is cheaper, GLM 4.5 or o3 Mini?

GLM 4.5 costs $0.60 per million input tokens and $2.20 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 4.5 or o3 Mini?

o3 Mini, with 200K tokens against 131K.

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

50 benchmarks have a result for both models as of October 21, 2026. GLM 4.5's coding index rests on 1 independent benchmark and o3 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

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