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GLM 4.6 vs GPT-4o-mini (2024-07-18)

GPT-4o-mini (2024-07-18) costs 3.7x less per output token than GLM 4.6 ($0.60 vs $2.20 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace GLM 4.6 Replace GPT-4o-mini (2024-07-18)
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
28
GPT-4o-mini (2024-07-18)OpenAI
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 28 shared

GLM 4.6 or GPT-4o-mini (2024-07-18): which to pick

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; GPT-4o-mini (2024-07-18) has none, so the two cannot be ranked on coding.

Pick GPT-4o-mini (2024-07-18) for output tokens 3.7x cheaper ($0.60 vs $2.20 per million).

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BGPT-4o-mini (2024-07-18)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
28
GLM 4.6 only
41
GPT-4o-mini (2024-07-18) only
18
Like-for-like categories
5 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 4.6 8.8 from 2 benchmarks, GPT-4o-mini (2024-07-18) not benchmarked.
Widest category
Reasoning, 29.8 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GLM 4.6 1499 against GPT-4o-mini (2024-07-18) 1265, 39.1 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against GPT-4o-mini (2024-07-18) $0.60 per million output tokens, 3.7x apart.
Context window
GLM 4.6 takes 205K tokens, GPT-4o-mini (2024-07-18) 128K.

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 4.6BarsGPT-4o-mini (2024-07-18)Ties
Coding20
Reasoning30
Math20
Knowledge40
General170
All shared boards280
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
Aider polyglotNot measured3.6%Only GPT-4o-mini (2024-07-18) measured
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LMArena WebDev1341Not measuredOnly GLM 4.6 measured
AA Coding Index45.8Not measuredOnly GLM 4.6 measured
LiveCodeBench (Vals AI)81.0%Not measuredOnly GLM 4.6 measured
Vibe Code Bench (Vals AI)3.1%Not measuredOnly GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%Not measuredOnly GLM 4.6 measured
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
WeirdMLNot measured11.8%Only GPT-4o-mini (2024-07-18) measured
ALE-Bench340.8Not measuredOnly GLM 4.6 measured
LMArena Text: coding14491290GLM 4.6
LMArena Text: software and IT14551291GLM 4.6
LMArena WebDev: HTML1350Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
AA Intelligence Index18.5Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
Design Arena: agents building full-stack apps1029Not measuredOnly GLM 4.6 measured
Design Arena: agents building mobile apps1096Not measuredOnly GLM 4.6 measured
Design Arena: agents building Android apps1084Not measuredOnly GLM 4.6 measured
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 measured
τ²-Bench Telecom76.9%Not measuredOnly GLM 4.6 measured
BALROGNot measured17.4%Only GPT-4o-mini (2024-07-18) measured
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
GPQA Diamond74.5%Not measuredOnly GLM 4.6 measured
GPQA Diamond (Artificial Analysis run)78.0%Not measuredOnly GLM 4.6 measured
Humanity's Last Exam (Artificial Analysis run)14.5%Not measuredOnly GLM 4.6 measured
GPQA Diamond (Epoch AI run)Not measured37.7%Only GPT-4o-mini (2024-07-18) measured
SimpleBenchNot measured10.7%Only GPT-4o-mini (2024-07-18) measured
Chess puzzlesNot measured3.0%Only GPT-4o-mini (2024-07-18) measured
Mystery game puzzlesNot measured12.0%Only GPT-4o-mini (2024-07-18) measured
VPCTNot measured34.0%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts14401267GLM 4.6
LMArena Text: expert14321234GLM 4.6
LMArena Text: hard prompts in English14451278GLM 4.6
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
OTIS Mock AIMENot measured6.9%Only GPT-4o-mini (2024-07-18) measured
FrontierMath, tiers 1 to 3Not measured0.7%Only GPT-4o-mini (2024-07-18) measured
MATH level 5Not measured52.6%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: math14321267GLM 4.6
LMArena Text: mathematical work14471271GLM 4.6
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
MMLU Pro82.2%Not measuredOnly GLM 4.6 measured
LegalBench (Vals AI)79.6%Not measuredOnly GLM 4.6 measured
CorpFin (Vals AI)56.8%Not measuredOnly GLM 4.6 measured
TaxEval (Vals AI)66.2%Not measuredOnly GLM 4.6 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
SimpleQA VerifiedNot measured8.3%Only GPT-4o-mini (2024-07-18) measured
MMLUNot measured76.7%Only GPT-4o-mini (2024-07-18) measured
GeoBenchNot measured64.0%Only GPT-4o-mini (2024-07-18) measured
LMArena Text: science14561286GLM 4.6
LMArena Text: medicine and healthcare14551282GLM 4.6
LMArena Text: legal and government14481305GLM 4.6
LMArena Text: business and finance14161265GLM 4.6
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
Design Arena: websites1174Not measuredOnly GLM 4.6 measured
Design Arena: UI components1145Not measuredOnly GLM 4.6 measured
Design Arena: game dev1150Not measuredOnly GLM 4.6 measured
Design Arena: data viz1161Not measuredOnly GLM 4.6 measured
Design Arena: 3D1128Not measuredOnly GLM 4.6 measured
Design Arena: all code categories1165Not measuredOnly GLM 4.6 measured
Design Arena: SVG1108Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for GLM 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
IFBench43.4%Not measuredOnly GLM 4.6 measured
Long context reasoning (AA-LCR)54.0%Not measuredOnly GLM 4.6 measured
Creative writing (Lech Mazur)Not measured67.2%Only GPT-4o-mini (2024-07-18) measured
LMArena Text14401286GLM 4.6
LMArena Text: instruction following14101258GLM 4.6
LMArena Text: creative writing14121268GLM 4.6
LMArena VisionNot measured1066Only GPT-4o-mini (2024-07-18) measured
LMArena Text: English14491301GLM 4.6
LMArena Text: non-English14261266GLM 4.6
LMArena Text: Chinese14991265GLM 4.6
LMArena Text: German14471272GLM 4.6
LMArena Text: Japanese13931216GLM 4.6
LMArena Text: Korean14001195GLM 4.6
LMArena Text: French14591297GLM 4.6
LMArena Text: Spanish14361276GLM 4.6
LMArena Text: Russian14181275GLM 4.6
LMArena Text: Polish14471244GLM 4.6
LMArena Text: multi-turn14271285GLM 4.6
LMArena Text: longer queries14221289GLM 4.6
LMArena Text: writing and language14151282GLM 4.6
LMArena Text: entertainment and media14091253GLM 4.6
LMArena Vision: EnglishNot measured1072Only GPT-4o-mini (2024-07-18) measured
LMArena Vision: ChineseNot measured1033Only GPT-4o-mini (2024-07-18) measured
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 4.6 and GPT-4o-mini (2024-07-18)
BenchmarkGLM 4.6GPT-4o-mini (2024-07-18)Leader
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 4.6$0.0017Fits in one request
GPT-4o-mini (2024-07-18)$0.0004Fits in one request

GPT-4o-mini (2024-07-18) costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
GPT-4o-mini (2024-07-18)$0.0093Fits in one request

GPT-4o-mini (2024-07-18) costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
GPT-4o-mini (2024-07-18)$0.036Exceeds the context window

GPT-4o-mini (2024-07-18) 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 4.6 and GPT-4o-mini (2024-07-18)
SpecificationZ.ai GLM 4.6OpenAI GPT-4o-mini (2024-07-18)
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025July 18, 2024
Context window205K128K
Input $/Mtok$0.60$0.15
Output $/Mtok$2.20$0.60
Coding index8.8Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than GPT-4o-mini (2024-07-18) for coding?

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; GPT-4o-mini (2024-07-18) has none, so the two cannot be ranked on coding. Pick GPT-4o-mini (2024-07-18) for output tokens 3.7x cheaper ($0.60 vs $2.20 per million).

Which is cheaper, GLM 4.6 or GPT-4o-mini (2024-07-18)?

GLM 4.6 costs $0.60 per million input tokens and $2.20 per million output tokens; GPT-4o-mini (2024-07-18) costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.6 or GPT-4o-mini (2024-07-18)?

GLM 4.6, with 205K tokens against 128K.

How many benchmarks is the GLM 4.6 vs GPT-4o-mini (2024-07-18) comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 independent benchmarks and GPT-4o-mini (2024-07-18)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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