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DeepSeek V4 Flash 0423 vs GLM 5.3 Flash

GLM 5.3 Flash leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 41.8 to 24.4, and DeepSeek V4 Flash 0423 costs 1.8x less per output token ($0.28 vs $0.50 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace GLM 5.3 Flash
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
1
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
43
vs boards won of 44 shared

DeepSeek V4 Flash 0423 or GLM 5.3 Flash: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.

Pick DeepSeek V4 Flash 0423 for output tokens 1.8x cheaper ($0.28 vs $0.50 per million) and work measured by ALE-Bench, where it leads.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved task
Shared results
44
DeepSeek V4 Flash 0423 only
6
GLM 5.3 Flash only
58
Like-for-like categories
8 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
DeepSeek V4 Flash 0423 not benchmarked, GLM 5.3 Flash 57.7 from 6 benchmarks.
Widest category
Agentic work, 24.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Agentic Index: DeepSeek V4 Flash 0423 26.3 against GLM 5.3 Flash 50.9, 24.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against GLM 5.3 Flash $0.50 per million output tokens, 1.8x apart.
Context window
Both take 1.05M tokens.

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
CategoryDeepSeek V4 Flash 0423BarsGLM 5.3 FlashTies
Coding16
Intelligence02
Agentic work01
Reasoning03
Math02
Knowledge04
Web design08
General017
All shared boards143
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
Coding benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 5.3 FlashLeader
LiveBench codingNot measured80.6%Only GLM 5.3 Flash measured
LMArena WebDev15821607GLM 5.3 Flash
AA Coding Index52.071.5GLM 5.3 Flash
LiveCodeBench (Vals AI)Not measured80.5%Only GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)Not measured92.0%Only GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)Not measured37.4%Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)Not measured30.8%Only GLM 5.3 Flash measured
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
FrontierCodeNot measured31.8%Only GLM 5.3 Flash measured
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2303.6DeepSeek V4 Flash 0423
LMArena Text: coding14571507GLM 5.3 Flash
LMArena Text: software and IT14531500GLM 5.3 Flash
LMArena WebDev: React15851624GLM 5.3 Flash
LMArena WebDev: HTML15581577GLM 5.3 Flash
LMArena WebDev: from an imageNot measured1578Only GLM 5.3 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 5.3 FlashLeader
AA Intelligence Index24.441.8GLM 5.3 Flash
Epoch Capabilities Index146.1153.1GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 5.3 FlashLeader
AA Agentic Index26.350.9GLM 5.3 Flash
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
APEX-AgentsNot measured52.8%Only GLM 5.3 Flash measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 5.3 FlashLeader
GPQA DiamondNot measured86.4%Only GLM 5.3 Flash measured
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)Not measured91.2%Only GLM 5.3 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured39.9%Only GLM 5.3 Flash measured
GPQA Diamond (Epoch AI run)Not measured90.2%Only GLM 5.3 Flash measured
ARC-AGINot measured91.0%Only GLM 5.3 Flash measured
ARC-AGI-2Not measured65.8%Only GLM 5.3 Flash measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 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 prompts14441490GLM 5.3 Flash
LMArena Text: expert14411511GLM 5.3 Flash
LMArena Text: hard prompts in English14491488GLM 5.3 Flash
LMArena Vision: diagramsNot measured1317Only GLM 5.3 Flash measured
LMArena Vision: homeworkNot measured1318Only GLM 5.3 Flash measured
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 5.3 FlashLeader
OTIS Mock AIMENot measured93.9%Only GLM 5.3 Flash measured
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: math14261503GLM 5.3 Flash
LMArena Text: mathematical work14321497GLM 5.3 Flash
MathArena24.8%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 5.3 FlashLeader
MMLU ProNot measured86.1%Only GLM 5.3 Flash measured
LegalBench (Vals AI)Not measured83.9%Only GLM 5.3 Flash measured
TaxEval (Vals AI)Not measured75.6%Only GLM 5.3 Flash measured
LMArena Text: science14461484GLM 5.3 Flash
LMArena Text: medicine and healthcare14481475GLM 5.3 Flash
LMArena Text: legal and government14391473GLM 5.3 Flash
LMArena Text: business and finance14251460GLM 5.3 Flash
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 5.3 FlashLeader
Design Arena: websites12071271GLM 5.3 Flash
Design Arena: UI components11621314GLM 5.3 Flash
Design Arena: game dev11961277GLM 5.3 Flash
Design Arena: data viz11271262GLM 5.3 Flash
Design Arena: 3D11881315GLM 5.3 Flash
Design Arena: all code categories12051281GLM 5.3 Flash
Design Arena: SVG11541284GLM 5.3 Flash
Design Arena: ASCII art11091267GLM 5.3 Flash
LiveBench designNot measured77.2%Only GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 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
Long context reasoning (AA-LCR)Not measured80.0%Only GLM 5.3 Flash measured
DTBench86.4%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMCA35.9%Not measuredOnly DeepSeek V4 Flash 0423 measured
Surface Evolver BenchNot measured52.5%Only GLM 5.3 Flash measured
LMArena Text14321471GLM 5.3 Flash
LMArena Text: instruction following14211478GLM 5.3 Flash
LMArena Text: creative writing14031441GLM 5.3 Flash
LMArena VisionNot measured1294Only GLM 5.3 Flash measured
LMArena Text: English14411474GLM 5.3 Flash
LMArena Text: non-English14191462GLM 5.3 Flash
LMArena Text: Chinese14631531GLM 5.3 Flash
LMArena Text: German14191462GLM 5.3 Flash
LMArena Text: Japanese13891444GLM 5.3 Flash
LMArena Text: Korean13831436GLM 5.3 Flash
LMArena Text: French14391491GLM 5.3 Flash
LMArena Text: Spanish14361475GLM 5.3 Flash
LMArena Text: Russian14271465GLM 5.3 Flash
LMArena Text: Polish14361450GLM 5.3 Flash
LMArena Text: multi-turn14491469GLM 5.3 Flash
LMArena Text: longer queries14341481GLM 5.3 Flash
LMArena Text: writing and language14101455GLM 5.3 Flash
LMArena Text: entertainment and media14001440GLM 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 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0423 and GLM 5.3 Flash
BenchmarkDeepSeek V4 Flash 0423GLM 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

DeepSeek V4 Flash 0423$0.0003Fits in one request
GLM 5.3 Flash$0.0004Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0073Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.029Fits in one request
GLM 5.3 Flash$0.035Fits in one request

DeepSeek V4 Flash 0423 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 DeepSeek V4 Flash 0423 and GLM 5.3 Flash
SpecificationDeepSeek V4 Flash 0423Z.ai GLM 5.3 Flash
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026August 26, 2026
Context window1.05M1.05M
Input $/Mtok$0.13$0.15
Output $/Mtok$0.28$0.50
Coding indexNot benchmarked57.7
Independent measurements behind it16
Cost per solved taskNot computable$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than GLM 5.3 Flash for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 1.8x cheaper ($0.28 vs $0.50 per million) and work measured by ALE-Bench, where it leads.

Which is cheaper, DeepSeek V4 Flash 0423 or GLM 5.3 Flash?

DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or GLM 5.3 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Flash 0423 vs GLM 5.3 Flash comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark 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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