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DeepSeek V4 Flash 0423 vs GLM 4.5V

Updated October 21, 2026. 25 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Flash 0423 Replace GLM 4.5V
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
24.4
Output $/M
$0.28
25
GLM 4.5VZ.ai
Coding
No data
Overall
7.6
Output $/M
$1.80
0
vs boards won of 25 shared

Decision reading

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

DeepSeek V4 Flash 0423 has the edge where output tokens cost 6.4x less, and where the context window is larger, 1.05M against 66K tokens.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGLM 4.5VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
25
DeepSeek V4 Flash 0423 only
23
GLM 4.5V only
15
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 4.5V not benchmarked.
Widest category
General, 18.6 points apart on average over 13 shared benchmarks.
Widest single gap
LMArena Text: Polish: DeepSeek V4 Flash 0423 1436 against GLM 4.5V 1302, 22.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against GLM 4.5V $1.80 per million output tokens, 6.4x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, GLM 4.5V 66K.

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 4.5VTies
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
General130
All shared boards250
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Artificial Analysis run)Not measured60.4%Only GLM 4.5V measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.8%Only GLM 4.5V measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571347DeepSeek V4 Flash 0423
LMArena Text: software and IT14531353DeepSeek V4 Flash 0423
LMArena WebDev: React1585Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML1558Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
AA Intelligence Index24.47.6DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured22.5%Only GLM 4.5V measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
GPQA Diamond (Artificial Analysis run)Not measured68.4%Only GLM 4.5V measured
Humanity's Last Exam (Artificial Analysis run)Not measured6.3%Only GLM 4.5V measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441335DeepSeek V4 Flash 0423
LMArena Text: expert14411353DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491357DeepSeek V4 Flash 0423
LMArena Vision: diagramsNot measured1151Only GLM 4.5V measured
LMArena Vision: homeworkNot measured1163Only GLM 4.5V measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
AA Math IndexNot measured73.0Only GLM 4.5V measured
AIME 2025 (Artificial Analysis run)Not measured73.0%Only GLM 4.5V measured
LMArena Text: math14261354DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321336DeepSeek V4 Flash 0423
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
MMLU Pro (Artificial Analysis run)Not measured78.8%Only GLM 4.5V measured
LMArena Text: science14461330DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481349DeepSeek V4 Flash 0423
LMArena Text: legal and government14391338DeepSeek V4 Flash 0423
LMArena Text: business and finance14251309DeepSeek V4 Flash 0423
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
Design Arena: websites1208Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: UI components1165Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: game dev1197Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: data viz1127Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: 3D1189Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: all code categories1205Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: SVG1155Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: ASCII art1109Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index130
General benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
IFBenchNot measured34.2%Only GLM 4.5V measured
Long context reasoning (AA-LCR)Not measured0.0%Only GLM 4.5V measured
DTBench86.4%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMCA35.9%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text14321333DeepSeek V4 Flash 0423
LMArena Text: instruction following14211311DeepSeek V4 Flash 0423
LMArena Text: creative writing14031294DeepSeek V4 Flash 0423
LMArena VisionNot measured1154Only GLM 4.5V measured
LMArena Text: English14411362DeepSeek V4 Flash 0423
LMArena Text: non-English14191303DeepSeek V4 Flash 0423
LMArena Text: Chinese14631337DeepSeek V4 Flash 0423
LMArena Text: German1419Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Japanese1389Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Korean1383Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: French1439Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Spanish14361336DeepSeek V4 Flash 0423
LMArena Text: Russian14271298DeepSeek V4 Flash 0423
LMArena Text: Polish14361302DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491333DeepSeek V4 Flash 0423
LMArena Text: longer queries14341305DeepSeek V4 Flash 0423
LMArena Text: writing and language14101302DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001303DeepSeek V4 Flash 0423
LMArena Vision: EnglishNot measured1183Only GLM 4.5V measured
LMArena Vision: reading textNot measured1151Only GLM 4.5V measured
Neither model has a result on the other 22 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 4.5V
BenchmarkDeepSeek V4 Flash 0423GLM 4.5VLeader
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 4.5V$0.0015Fits 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 4.5V$0.035Fits 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 4.5V$0.138Exceeds 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 4.5V
SpecificationDeepSeek V4 Flash 0423Z.ai GLM 4.5V
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026August 11, 2025
Context window1.05M66K
Input $/Mtok$0.14$0.60
Output $/Mtok$0.28$1.80
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than GLM 4.5V for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. DeepSeek V4 Flash 0423 has the edge where output tokens cost 6.4x less, and where the context window is larger, 1.05M against 66K tokens.

Which is cheaper, DeepSeek V4 Flash 0423 or GLM 4.5V?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; GLM 4.5V costs $0.60 and $1.80. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or GLM 4.5V?

DeepSeek V4 Flash 0423, with 1.05M tokens against 66K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs GLM 4.5V comparison based on?

25 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and GLM 4.5V's on 0. Where only one model has a result, the page says so instead of naming a winner.

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