Enter opens the highlighted result. Esc closes.

GLM 5 vs GPT-4o (2024-08-06)

GLM 5 leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 27.9 to 7.7, and GLM 5 costs 3.1x less per output token ($3.20 vs $10.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Replace GLM 5 Replace GPT-4o (2024-08-06)
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
42
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
1
vs boards won of 43 shared

GLM 5 or GPT-4o (2024-08-06): which to pick

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding.

Pick GPT-4o (2024-08-06) for work measured by TaxEval (Vals AI), where it leads.

Model AGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved taskModel BGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
GLM 5 only
33
GPT-4o (2024-08-06) only
15
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 41.7 from 3 benchmarks, GPT-4o (2024-08-06) not benchmarked.
Widest category
Agentic work, 69.3 points apart on average over 1 shared benchmark.
Widest single gap
AIME: GLM 5 91.7% against GPT-4o (2024-08-06) 14.0%, 77.7 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against GPT-4o (2024-08-06) $10.00 per million output tokens, 3.1x apart.
Context window
GLM 5 takes 205K tokens, GPT-4o (2024-08-06) 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 5BarsGPT-4o (2024-08-06)Ties
Coding30
Intelligence10
Agentic work10
Reasoning70
Math40
Knowledge81
General180
All shared boards421
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
Aider polyglotNot measured23.1%Only GPT-4o (2024-08-06) measured
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench LiteNot measured21.7%Only GPT-4o (2024-08-06) measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev1435Not measuredOnly GLM 5 measured
LiveCodeBench (Vals AI)81.9%Not measuredOnly GLM 5 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Vibe Code Bench (Vals AI)23.4%Not measuredOnly GLM 5 measured
LiveCodeBench (Artificial Analysis run)Not measured31.7%Only GPT-4o (2024-08-06) measured
Terminal-Bench Hard (Artificial Analysis run)43.2%8.3%GLM 5
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6Not measuredOnly GLM 5 measured
LMArena Text: coding14611283GLM 5
LMArena Text: software and IT14601278GLM 5
LMArena WebDev: React1424Not measuredOnly GLM 5 measured
LMArena WebDev: HTML1450Not measuredOnly GLM 5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
AA Intelligence Index27.97.7GLM 5
Epoch Capabilities Index145.8Not measuredOnly GLM 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1147Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1098Not measuredOnly GLM 5 measured
τ²-Bench Telecom98.2%28.9%GLM 5
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
MMMU Pro (Vals AI)Not measured64.0%Only GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)82.0%52.1%GLM 5
Humanity's Last Exam (Artificial Analysis run)29.3%2.3%GLM 5
GPQA Diamond (Epoch AI run)87.8%49.2%GLM 5
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%17.8%GLM 5
Chess puzzlesNot measured6.0%Only GPT-4o (2024-08-06) measured
LMArena Text: hard prompts14521264GLM 5
LMArena Text: expert14541241GLM 5
LMArena Text: hard prompts in English14601277GLM 5
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
AIME91.7%14.0%GLM 5
MATH 500 (Vals AI)Not measured75.2%Only GPT-4o (2024-08-06) measured
MGSM (Vals AI)Not measured90.7%Only GPT-4o (2024-08-06) measured
OTIS Mock AIME80.0%6.4%GLM 5
FrontierMath, tiers 1 to 3Not measured0.4%Only GPT-4o (2024-08-06) measured
MATH level 5Not measured53.3%Only GPT-4o (2024-08-06) measured
LMArena Text: math14401285GLM 5
LMArena Text: mathematical work14511283GLM 5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
MMLU Pro86.0%74.1%GLM 5
LegalBench (Vals AI)84.1%80.1%GLM 5
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%39.4%GLM 5
TaxEval (Vals AI)70.0%71.1%GPT-4o (2024-08-06)
MortgageTax (Vals AI)Not measured61.0%Only GPT-4o (2024-08-06) measured
MedQA (Vals AI)94.3%88.2%GLM 5
SimpleQA VerifiedNot measured26.0%Only GPT-4o (2024-08-06) measured
MMLUNot measured84.3%Only GPT-4o (2024-08-06) measured
LMArena Text: science14601274GLM 5
LMArena Text: medicine and healthcare14551252GLM 5
LMArena Text: legal and government14531275GLM 5
LMArena Text: business and finance14301232GLM 5
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
Design Arena: websites1247Not measuredOnly GLM 5 measured
Design Arena: UI components1227Not measuredOnly GLM 5 measured
Design Arena: game dev1234Not measuredOnly GLM 5 measured
Design Arena: data viz1228Not measuredOnly GLM 5 measured
Design Arena: 3D1228Not measuredOnly GLM 5 measured
Design Arena: all code categories1246Not measuredOnly GLM 5 measured
Design Arena: SVG1168Not measuredOnly GLM 5 measured
Design Arena: ASCII art1147Not measuredOnly GLM 5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)Leader
IFBench72.3%36.0%GLM 5
Long context reasoning (AA-LCR)75.7%41.0%GLM 5
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461283GLM 5
LMArena Text: instruction following14281267GLM 5
LMArena Text: creative writing14381274GLM 5
LMArena VisionNot measured1065Only GPT-4o (2024-08-06) measured
LMArena Text: English14581297GLM 5
LMArena Text: non-English14301262GLM 5
LMArena Text: Chinese15111254GLM 5
LMArena Text: German14471257GLM 5
LMArena Text: Japanese14161234GLM 5
LMArena Text: Korean14231218GLM 5
LMArena Text: French14561263GLM 5
LMArena Text: Spanish14541269GLM 5
LMArena Text: Russian14361272GLM 5
LMArena Text: Polish1434Not measuredOnly GLM 5 measured
LMArena Text: multi-turn14561279GLM 5
LMArena Text: longer queries14461283GLM 5
LMArena Text: writing and language14371290GLM 5
LMArena Text: entertainment and media14261267GLM 5
LMArena Vision: EnglishNot measured1072Only GPT-4o (2024-08-06) measured
LMArena Vision: ChineseNot measured1009Only GPT-4o (2024-08-06) 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 5 and GPT-4o (2024-08-06)
BenchmarkGLM 5GPT-4o (2024-08-06)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 5$0.0026Fits in one request
GPT-4o (2024-08-06)$0.0075Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
GPT-4o (2024-08-06)$0.155Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
GPT-4o (2024-08-06)$0.600Exceeds the context window

GLM 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 5 and GPT-4o (2024-08-06)
SpecificationZ.ai GLM 5OpenAI GPT-4o (2024-08-06)
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedFebruary 11, 2026August 6, 2024
Context window205K128K
Input $/Mtok$1.00$2.50
Output $/Mtok$3.20$10.00
Coding index41.7Not benchmarked
Independent measurements behind it30
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than GPT-4o (2024-08-06) for coding?

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; GPT-4o (2024-08-06) has none, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by TaxEval (Vals AI), where it leads.

Which is cheaper, GLM 5 or GPT-4o (2024-08-06)?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 5 or GPT-4o (2024-08-06)?

GLM 5, with 205K tokens against 128K.

How many benchmarks is the GLM 5 vs GPT-4o (2024-08-06) comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. GLM 5's coding index rests on 3 independent benchmarks and GPT-4o (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next