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GLM 5 vs GLM 5.3 Flash

GLM 5.3 Flash leads GLM 5 on coding, 57.7 to 41.7 on the Vibe Coding Index, and GLM 5.3 Flash costs 6.4x less per output token ($0.50 vs $3.20 per million). Updated October 21, 2026; 56 benchmarks have a result for both.

GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
3
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
53
vs boards won of 56 shared

GLM 5 or GLM 5.3 Flash: which to pick

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 41.7 for GLM 5.

Pick GLM 5 for work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

Shared results
56
GLM 5 only
20
GLM 5.3 Flash only
46
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, GLM 5.3 Flash 57.7 from 6 benchmarks.
Widest category
Reasoning, 17.0 points apart on average over 9 shared benchmarks.
Widest single gap
ARC-AGI-2: GLM 5 4.9% against GLM 5.3 Flash 65.8%, 61.0 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against GLM 5.3 Flash $0.50 per million output tokens, 6.4x apart.
Context window
GLM 5 takes 205K tokens, GLM 5.3 Flash 1.05M.

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 5BarsGLM 5.3 FlashTies
Coding27
Intelligence02
Reasoning09
Math03
Knowledge16
Web design08
General018
All shared boards353
CodingLike-for-likeSix of these boards feed the Vibe Coding Index27
Coding benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LiveBench codingNot measured80.6%Only GLM 5.3 Flash measured
LMArena WebDev14351607GLM 5.3 Flash
AA Coding IndexNot measured71.5Only GLM 5.3 Flash measured
LiveCodeBench (Vals AI)81.9%80.5%GLM 5
SWE-bench Verified (Vals AI)71.4%92.0%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)Not measured37.4%Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)23.4%30.8%GLM 5.3 Flash
Code migration (Vals AI)Not measured20.5%Only GLM 5.3 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only GLM 5.3 Flash measured
IOI (Vals AI)Not measured52.5%Only GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured62.9%Only GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)Not measured16.0%Only GLM 5.3 Flash measured
SkillsBench (Vals AI)Not measured40.2%Only GLM 5.3 Flash measured
CyberBench (Vals AI)Not measured67.9%Only GLM 5.3 Flash measured
SciCodeNot measured51.6%Only GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
FrontierCodeNot measured31.8%Only GLM 5.3 Flash measured
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6303.6GLM 5
LMArena Text: coding14611507GLM 5.3 Flash
LMArena Text: software and IT14601500GLM 5.3 Flash
LMArena WebDev: React14241624GLM 5.3 Flash
LMArena WebDev: HTML14501577GLM 5.3 Flash
LMArena WebDev: from an imageNot measured1578Only GLM 5.3 Flash measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
AA Intelligence Index27.941.8GLM 5.3 Flash
Epoch Capabilities Index145.8153.1GLM 5.3 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
AA Agentic IndexNot measured50.9Only GLM 5.3 Flash measured
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 apps1146Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1148Not measuredOnly GLM 5 measured
LiveBench researchNot measured70.1%Only GLM 5.3 Flash measured
LiveBench browserNot measured84.0%Only GLM 5.3 Flash measured
LiveBench long agenticNot measured28.4%Only GLM 5.3 Flash measured
SREBench (Vals AI)Not measured0.8%Only GLM 5.3 Flash measured
Finance Agent (Vals AI)Not measured57.9%Only GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)Not measured31.6%Only GLM 5.3 Flash measured
Legal Research Bench (Vals AI)Not measured45.2%Only GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.4%Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured55.9%Only GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only GLM 5.3 Flash measured
τ²-Bench Telecom98.2%Not measuredOnly GLM 5 measured
APEX-AgentsNot measured52.8%Only GLM 5.3 Flash measured
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
GPQA Diamond83.3%86.4%GLM 5.3 Flash
LiveBench reasoningNot measured77.6%Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)Not measured86.0%Only GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)82.0%91.2%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)29.3%39.9%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)87.8%90.2%GLM 5.3 Flash
ARC-AGI44.7%91.0%GLM 5.3 Flash
ARC-AGI-24.9%65.8%GLM 5.3 Flash
SimpleBench53.2%Not measuredOnly GLM 5 measured
Chess puzzlesNot measured21.0%Only GLM 5.3 Flash measured
Mystery game puzzlesNot measured8.0%Only GLM 5.3 Flash measured
LMArena Text: hard prompts14521490GLM 5.3 Flash
LMArena Text: expert14541511GLM 5.3 Flash
LMArena Text: hard prompts in English14601488GLM 5.3 Flash
LMArena Vision: diagramsNot measured1317Only GLM 5.3 Flash measured
LMArena Vision: homeworkNot measured1318Only GLM 5.3 Flash measured
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%93.9%GLM 5.3 Flash
FrontierMath, tiers 1 to 3Not measured55.8%Only GLM 5.3 Flash measured
FrontierMath, tier 4Not measured17.1%Only GLM 5.3 Flash measured
ProofBenchNot measured21.0%Only GLM 5.3 Flash measured
LMArena Text: math14401503GLM 5.3 Flash
LMArena Text: mathematical work14511497GLM 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 index16
Knowledge benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
MMLU Pro86.0%86.1%GLM 5.3 Flash
LegalBench (Vals AI)84.1%83.9%GLM 5
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%Not measuredOnly GLM 5 measured
TaxEval (Vals AI)70.0%75.6%GLM 5.3 Flash
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
LMArena Text: science14601484GLM 5.3 Flash
LMArena Text: medicine and healthcare14551475GLM 5.3 Flash
LMArena Text: legal and government14531473GLM 5.3 Flash
LMArena Text: business and finance14301460GLM 5.3 Flash
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
Design Arena: websites12471272GLM 5.3 Flash
Design Arena: UI components12301316GLM 5.3 Flash
Design Arena: game dev12341278GLM 5.3 Flash
Design Arena: data viz12281261GLM 5.3 Flash
Design Arena: 3D12291316GLM 5.3 Flash
Design Arena: all code categories12461282GLM 5.3 Flash
Design Arena: SVG11681284GLM 5.3 Flash
Design Arena: ASCII art11471268GLM 5.3 Flash
LiveBench designNot measured77.2%Only GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
Vals IndexNot measured50.9%Only GLM 5.3 Flash measured
LiveBench data analysisNot measured76.4%Only GLM 5.3 Flash measured
MedScribe (Vals AI)Not measured88.9%Only GLM 5.3 Flash measured
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%80.0%GLM 5.3 Flash
CL-bench18.7%Not measuredOnly GLM 5 measured
Surface Evolver BenchNot measured52.5%Only GLM 5.3 Flash measured
LMArena Text14461471GLM 5.3 Flash
LMArena Text: instruction following14281478GLM 5.3 Flash
LMArena Text: creative writing14381441GLM 5.3 Flash
LMArena VisionNot measured1294Only GLM 5.3 Flash measured
LMArena Text: English14581474GLM 5.3 Flash
LMArena Text: non-English14301462GLM 5.3 Flash
LMArena Text: Chinese15111531GLM 5.3 Flash
LMArena Text: German14471462GLM 5.3 Flash
LMArena Text: Japanese14161444GLM 5.3 Flash
LMArena Text: Korean14231436GLM 5.3 Flash
LMArena Text: French14561491GLM 5.3 Flash
LMArena Text: Spanish14541475GLM 5.3 Flash
LMArena Text: Russian14361465GLM 5.3 Flash
LMArena Text: Polish14341450GLM 5.3 Flash
LMArena Text: multi-turn14561469GLM 5.3 Flash
LMArena Text: longer queries14461481GLM 5.3 Flash
LMArena Text: writing and language14371455GLM 5.3 Flash
LMArena Text: entertainment and media14261440GLM 5.3 Flash
LMArena Vision: EnglishNot measured1295Only GLM 5.3 Flash measured
LMArena Vision: ChineseNot measured1363Only GLM 5.3 Flash measured
LMArena Vision: reading textNot measured1299Only GLM 5.3 Flash measured
LMArena Vision: humorNot measured1279Only GLM 5.3 Flash measured
LMArena Vision: creative writingNot measured1270Only GLM 5.3 Flash measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5 and GLM 5.3 Flash
BenchmarkGLM 5GLM 5.3 FlashLeader
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
GLM 5.3 Flash$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
GLM 5.3 Flash$0.035Fits in one request

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 and GLM 5.3 Flash
SpecificationZ.ai GLM 5Z.ai GLM 5.3 Flash
MakerZ.aiZ.ai
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026August 26, 2026
Context window205K1.05M
Input $/Mtok$1.00$0.15
Output $/Mtok$3.20$0.50
Coding index41.757.7
Independent measurements behind it36
Cost per solved task$0.63$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than GLM 5.3 Flash for coding?

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 41.7 for GLM 5. Pick GLM 5 for work measured by LiveCodeBench (Vals AI) or ALE-Bench, where it leads.

Which is cheaper, GLM 5 or GLM 5.3 Flash?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Per solved SWE-bench Verified task, GLM 5 costs $0.63 and GLM 5.3 Flash $0.02.

Which has the bigger context window, GLM 5 or GLM 5.3 Flash?

GLM 5.3 Flash, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5 vs GLM 5.3 Flash comparison based on?

56 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 3 independent benchmarks and GLM 5.3 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-vs-glm-5-3-flash">LLMBenchmark.ai, GLM 5 vs GLM 5.3 Flash</a></p>