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DeepSeek V4 Flash 0423 vs GLM 5V Turbo

DeepSeek V4 Flash 0423 leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 24.4 to 23.5, and DeepSeek V4 Flash 0423 costs 14.3x less per output token ($0.28 vs $4.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace GLM 5V Turbo
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
10
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
29
vs boards won of 39 shared

DeepSeek V4 Flash 0423 or GLM 5V Turbo: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V4 Flash 0423 for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a larger context window (1.05M against 203K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
39
DeepSeek V4 Flash 0423 only
10
GLM 5V Turbo only
26
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
DeepSeek V4 Flash 0423 not benchmarked, GLM 5V Turbo not benchmarked.
Widest category
Coding, 19.0 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: DeepSeek V4 Flash 0423 1558 against GLM 5V Turbo 1356, 33.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against GLM 5V Turbo $4.00 per million output tokens, 14.3x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, GLM 5V Turbo 203K.

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 5V TurboTies
Coding32
Intelligence10
Reasoning12
Math02
Knowledge22
Web design17
General214
All shared boards1029
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
LMArena WebDev15821402DeepSeek V4 Flash 0423
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only GLM 5V Turbo measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571466GLM 5V Turbo
LMArena Text: software and IT14531460GLM 5V Turbo
LMArena WebDev: React15851386DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581356DeepSeek V4 Flash 0423
LMArena WebDev: from an imageNot measured1425Only GLM 5V Turbo measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
AA Intelligence Index24.423.5DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: agents building web appsNot measured1124Only GLM 5V Turbo measured
Design Arena: agents building full-stack appsNot measured1149Only GLM 5V Turbo measured
Design Arena: agents building mobile appsNot measured1134Only GLM 5V Turbo measured
Design Arena: agents building Android appsNot measured1267Only GLM 5V Turbo measured
Design Arena: agents building Godot gamesNot measured957Only GLM 5V Turbo measured
Design Arena: agents building gamesNot measured1102Only GLM 5V Turbo measured
Design Arena: HTML slidesNot measured1070Only GLM 5V Turbo measured
Design Arena: PowerPoint slidesNot measured1127Only GLM 5V Turbo measured
τ²-Bench TelecomNot measured98.5%Only GLM 5V Turbo measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
Reasoning benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
GPQA Diamond (Artificial Analysis run)Not measured80.9%Only GLM 5V Turbo measured
Humanity's Last Exam (Artificial Analysis run)Not measured17.1%Only GLM 5V Turbo measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441443DeepSeek V4 Flash 0423
LMArena Text: expert14411453GLM 5V Turbo
LMArena Text: hard prompts in English14491456GLM 5V Turbo
LMArena Vision: diagramsNot measured1286Only GLM 5V Turbo measured
LMArena Vision: homeworkNot measured1273Only GLM 5V Turbo measured
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
LMArena Text: math14261442GLM 5V Turbo
LMArena Text: mathematical work14321447GLM 5V Turbo
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
LMArena Text: science14461448GLM 5V Turbo
LMArena Text: medicine and healthcare14481433DeepSeek V4 Flash 0423
LMArena Text: legal and government14391436DeepSeek V4 Flash 0423
LMArena Text: business and finance14251435GLM 5V Turbo
Neither model has a result on the other 14 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
Design Arena: websites12071230GLM 5V Turbo
Design Arena: UI components11621210GLM 5V Turbo
Design Arena: game dev11961218GLM 5V Turbo
Design Arena: data viz11271202GLM 5V Turbo
Design Arena: 3D11881208GLM 5V Turbo
Design Arena: all code categories12051228GLM 5V Turbo
Design Arena: SVG11551151DeepSeek V4 Flash 0423
Design Arena: ASCII art11091117GLM 5V Turbo
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index214
General benchmarks for DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
IFBenchNot measured61.1%Only GLM 5V Turbo measured
Long context reasoning (AA-LCR)Not measured70.3%Only GLM 5V Turbo measured
DTBench86.4%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMCA35.9%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text14321437GLM 5V Turbo
LMArena Text: instruction following14211423GLM 5V Turbo
LMArena Text: creative writing14031417GLM 5V Turbo
LMArena VisionNot measured1264Only GLM 5V Turbo measured
LMArena Text: English14411454GLM 5V Turbo
LMArena Text: non-English14191420GLM 5V Turbo
LMArena Text: Chinese14631491GLM 5V Turbo
LMArena Text: German14191422GLM 5V Turbo
LMArena Text: Japanese1389Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Korean13831397GLM 5V Turbo
LMArena Text: French14391443GLM 5V Turbo
LMArena Text: Spanish14361452GLM 5V Turbo
LMArena Text: Russian14271432GLM 5V Turbo
LMArena Text: Polish14361432DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491431DeepSeek V4 Flash 0423
LMArena Text: longer queries14341438GLM 5V Turbo
LMArena Text: writing and language14101420GLM 5V Turbo
LMArena Text: entertainment and media14001407GLM 5V Turbo
LMArena Vision: EnglishNot measured1274Only GLM 5V Turbo measured
LMArena Vision: ChineseNot measured1329Only GLM 5V Turbo measured
LMArena Vision: reading textNot measured1270Only GLM 5V Turbo measured
LMArena Vision: humorNot measured1268Only GLM 5V Turbo measured
LMArena Vision: captioningNot measured1264Only GLM 5V Turbo measured
LMArena Vision: recognizing thingsNot measured1241Only GLM 5V Turbo measured
LMArena Vision: creative writingNot measured1252Only GLM 5V Turbo measured
LMArena DocumentNot measured1416Only GLM 5V Turbo 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 DeepSeek V4 Flash 0423 and GLM 5V Turbo
BenchmarkDeepSeek V4 Flash 0423GLM 5V TurboLeader
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 5V Turbo$0.0032Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
GLM 5V Turbo$0.072Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
GLM 5V Turbo$0.280Exceeds the context window

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 5V Turbo
SpecificationDeepSeek V4 Flash 0423Z.ai GLM 5V Turbo
MakerDeepSeekZ.ai
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026April 1, 2026
Context window1.05M203K
Input $/Mtok$0.14$1.20
Output $/Mtok$0.28$4.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than GLM 5V Turbo for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a larger context window (1.05M against 203K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or GLM 5V Turbo?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or GLM 5V Turbo?

DeepSeek V4 Flash 0423, with 1.05M tokens against 203K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs GLM 5V Turbo comparison based on?

39 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 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.

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