Enter opens the highlighted result. Esc closes.

GLM 5.3 Flash vs GPT-4o (2024-05-13)

GLM 5.3 Flash leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 41.8 to 7.3, and GLM 5.3 Flash costs 30.0x less per output token ($0.50 vs $15.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace GPT-4o (2024-05-13)
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
38
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
vs boards won of 38 shared

GLM 5.3 Flash or GPT-4o (2024-05-13): which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
GLM 5.3 Flash only
64
GPT-4o (2024-05-13) only
6
Like-for-like categories
6 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 5.3 Flash 57.7 from 6 benchmarks, GPT-4o (2024-05-13) not benchmarked.
Widest category
Math, 53.1 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: GLM 5.3 Flash 93.9% against GPT-4o (2024-05-13) 6.3%, 87.6 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against GPT-4o (2024-05-13) $15.00 per million output tokens, 30.0x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, GPT-4o (2024-05-13) 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 5.3 FlashBarsGPT-4o (2024-05-13)Ties
Coding30
Intelligence10
Reasoning70
Math30
Knowledge40
General200
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev1607Not measuredOnly GLM 5.3 Flash measured
AA Coding Index71.524.2GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)92.0%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%Not measuredOnly GLM 5.3 Flash measured
Code migration (Vals AI)20.5%Not measuredOnly GLM 5.3 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured33.4%Only GPT-4o (2024-05-13) measured
SciCode51.6%Not measuredOnly GLM 5.3 Flash measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6Not measuredOnly GLM 5.3 Flash measured
LMArena Text: coding15071297GLM 5.3 Flash
LMArena Text: software and IT15001297GLM 5.3 Flash
LMArena WebDev: React1624Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: HTML1577Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
AA Intelligence Index41.87.3GLM 5.3 Flash
Epoch Capabilities Index153.1Not measuredOnly GLM 5.3 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
METR time horizonsNot measured40.8%Only GPT-4o (2024-05-13) measured
BALROGNot measured32.3%Only GPT-4o (2024-05-13) measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
GPQA Diamond86.4%50.2%GLM 5.3 Flash
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%52.6%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%1.8%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%48.9%GLM 5.3 Flash
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901281GLM 5.3 Flash
LMArena Text: expert15111250GLM 5.3 Flash
LMArena Text: hard prompts in English14881293GLM 5.3 Flash
LMArena Vision: diagrams1317Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
OTIS Mock AIME93.9%6.3%GLM 5.3 Flash
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%Not measuredOnly GLM 5.3 Flash measured
MATH level 5Not measured51.0%Only GPT-4o (2024-05-13) measured
LMArena Text: math15031284GLM 5.3 Flash
LMArena Text: mathematical work14971284GLM 5.3 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
MMLU Pro86.1%Not measuredOnly GLM 5.3 Flash measured
LegalBench (Vals AI)83.9%Not measuredOnly GLM 5.3 Flash measured
TaxEval (Vals AI)75.6%Not measuredOnly GLM 5.3 Flash measured
MMLU Pro (Artificial Analysis run)Not measured74.0%Only GPT-4o (2024-05-13) measured
MMLUNot measured84.2%Only GPT-4o (2024-05-13) measured
LMArena Text: science14841295GLM 5.3 Flash
LMArena Text: medicine and healthcare14751278GLM 5.3 Flash
LMArena Text: legal and government14731314GLM 5.3 Flash
LMArena Text: business and finance14601262GLM 5.3 Flash
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
Design Arena: websites1271Not measuredOnly GLM 5.3 Flash measured
Design Arena: UI components1314Not measuredOnly GLM 5.3 Flash measured
Design Arena: game dev1277Not measuredOnly GLM 5.3 Flash measured
Design Arena: data viz1262Not measuredOnly GLM 5.3 Flash measured
Design Arena: 3D1315Not measuredOnly GLM 5.3 Flash measured
Design Arena: all code categories1281Not measuredOnly GLM 5.3 Flash measured
Design Arena: SVG1284Not measuredOnly GLM 5.3 Flash measured
Design Arena: ASCII art1267Not measuredOnly GLM 5.3 Flash measured
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
General benchmarks for GLM 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
Long context reasoning (AA-LCR)80.0%Not measuredOnly GLM 5.3 Flash measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711300GLM 5.3 Flash
LMArena Text: instruction following14781278GLM 5.3 Flash
LMArena Text: creative writing14411291GLM 5.3 Flash
LMArena Vision12941137GLM 5.3 Flash
LMArena Text: English14741312GLM 5.3 Flash
LMArena Text: non-English14621283GLM 5.3 Flash
LMArena Text: Chinese15311277GLM 5.3 Flash
LMArena Text: German14621283GLM 5.3 Flash
LMArena Text: Japanese14441257GLM 5.3 Flash
LMArena Text: Korean14361234GLM 5.3 Flash
LMArena Text: French14911304GLM 5.3 Flash
LMArena Text: Spanish14751292GLM 5.3 Flash
LMArena Text: Russian14651285GLM 5.3 Flash
LMArena Text: Polish14501365GLM 5.3 Flash
LMArena Text: multi-turn14691302GLM 5.3 Flash
LMArena Text: longer queries14811288GLM 5.3 Flash
LMArena Text: writing and language14551298GLM 5.3 Flash
LMArena Text: entertainment and media14401289GLM 5.3 Flash
LMArena Vision: English12951147GLM 5.3 Flash
LMArena Vision: Chinese13631132GLM 5.3 Flash
LMArena Vision: reading text1299Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing1270Not measuredOnly GLM 5.3 Flash 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 5.3 Flash and GPT-4o (2024-05-13)
BenchmarkGLM 5.3 FlashGPT-4o (2024-05-13)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 5.3 Flash$0.0004Fits in one request
GPT-4o (2024-05-13)$0.013Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
GPT-4o (2024-05-13)$0.295Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
GPT-4o (2024-05-13)$1.15Exceeds the context window

GLM 5.3 Flash 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 5.3 Flash and GPT-4o (2024-05-13)
SpecificationZ.ai GLM 5.3 FlashOpenAI GPT-4o (2024-05-13)
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026May 13, 2024
Context window1.05M128K
Input $/Mtok$0.15$5.00
Output $/Mtok$0.50$15.00
Coding index57.7Not benchmarked
Independent measurements behind it60
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than GPT-4o (2024-05-13) for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; GPT-4o (2024-05-13) has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 5.3 Flash or GPT-4o (2024-05-13)?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; GPT-4o (2024-05-13) costs $5.00 and $15.00. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, GLM 5.3 Flash or GPT-4o (2024-05-13)?

GLM 5.3 Flash, with 1.05M tokens against 128K.

How many benchmarks is the GLM 5.3 Flash vs GPT-4o (2024-05-13) comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash's coding index rests on 6 independent benchmarks and GPT-4o (2024-05-13)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next