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DeepSeek V4 Flash 0423 vs GLM 4.5

DeepSeek V4 Flash 0423 leads GLM 4.5 on the Artificial Analysis Intelligence Index, 24.4 to 12.8, and DeepSeek V4 Flash 0423 costs 7.9x less per output token ($0.28 vs $2.20 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace GLM 4.5
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
31
GLM 4.5Z.ai
Coding
No data
Overall
No data
Output $/M
$2.20
8
vs boards won of 39 shared

DeepSeek V4 Flash 0423 or GLM 4.5: 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 7.9x cheaper ($0.28 vs $2.20 per million) and a larger context window (1.05M against 131K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGLM 4.5Z.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
DeepSeek V4 Flash 0423 only
10
GLM 4.5 only
22
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 4.5 not benchmarked.
Widest category
Intelligence, 11.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: DeepSeek V4 Flash 0423 24.4 against GLM 4.5 12.8, 11.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against GLM 4.5 $2.20 per million output tokens, 7.9x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, GLM 4.5 131K.

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 4.5Ties
Coding40
Intelligence10
Reasoning31
Math11
Knowledge31
Web design61
General134
All shared boards318
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
SWE-bench VerifiedNot measured64.2%Only GLM 4.5 measured
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Vals AI)Not measured67.5%Only GLM 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured73.8%Only GLM 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.5 measured
WeirdML45.6%40.6%DeepSeek V4 Flash 0423
ALE-Bench678.2344.8DeepSeek V4 Flash 0423
LMArena Text: coding14571434DeepSeek V4 Flash 0423
LMArena Text: software and IT14531440DeepSeek 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 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
AA Intelligence Index24.412.8DeepSeek 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 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured43.0%Only GLM 4.5 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
GPQA DiamondNot measured72.2%Only GLM 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured78.2%Only GLM 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured13.0%Only GLM 4.5 measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441429DeepSeek V4 Flash 0423
LMArena Text: expert14411433DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491429DeepSeek V4 Flash 0423
Kagi LLM Benchmark52.2%57.9%GLM 4.5
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
AIMENot measured86.7%Only GLM 4.5 measured
MATH 500 (Vals AI)Not measured94.0%Only GLM 4.5 measured
MGSM (Vals AI)Not measured90.8%Only GLM 4.5 measured
AA Math IndexNot measured73.7Only GLM 4.5 measured
AIME 2025 (Artificial Analysis run)Not measured73.7%Only GLM 4.5 measured
LMArena Text: math14261427GLM 4.5
LMArena Text: mathematical work14321430DeepSeek V4 Flash 0423
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
MMLU ProNot measured81.2%Only GLM 4.5 measured
LegalBench (Vals AI)Not measured75.6%Only GLM 4.5 measured
CorpFin (Vals AI)Not measured61.0%Only GLM 4.5 measured
TaxEval (Vals AI)Not measured72.4%Only GLM 4.5 measured
MedQA (Vals AI)Not measured90.0%Only GLM 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured83.5%Only GLM 4.5 measured
LMArena Text: science14461444DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481455GLM 4.5
LMArena Text: legal and government14391438DeepSeek V4 Flash 0423
LMArena Text: business and finance14251420DeepSeek V4 Flash 0423
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
Design Arena: websites12071169DeepSeek V4 Flash 0423
Design Arena: UI components11621141DeepSeek V4 Flash 0423
Design Arena: game dev11961144DeepSeek V4 Flash 0423
Design Arena: data viz11271159GLM 4.5
Design Arena: 3D11881170DeepSeek V4 Flash 0423
Design Arena: all code categories12051165DeepSeek V4 Flash 0423
Design Arena: SVG11551096DeepSeek V4 Flash 0423
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 index134
General benchmarks for DeepSeek V4 Flash 0423 and GLM 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
IFBenchNot measured44.1%Only GLM 4.5 measured
Long context reasoning (AA-LCR)Not measured52.7%Only GLM 4.5 measured
DTBench86.4%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMCA35.9%Not measuredOnly DeepSeek V4 Flash 0423 measured
Creative writing (Lech Mazur)Not measured73.4%Only GLM 4.5 measured
LMArena Text14321430DeepSeek V4 Flash 0423
LMArena Text: instruction following14211404DeepSeek V4 Flash 0423
LMArena Text: creative writing14031395DeepSeek V4 Flash 0423
LMArena Text: English14411437DeepSeek V4 Flash 0423
LMArena Text: non-English14191417DeepSeek V4 Flash 0423
LMArena Text: Chinese14631465GLM 4.5
LMArena Text: German14191407DeepSeek V4 Flash 0423
LMArena Text: Japanese13891415GLM 4.5
LMArena Text: Korean13831380DeepSeek V4 Flash 0423
LMArena Text: French14391418DeepSeek V4 Flash 0423
LMArena Text: Spanish14361454GLM 4.5
LMArena Text: Russian14271413DeepSeek V4 Flash 0423
LMArena Text: Polish14361422DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491415DeepSeek V4 Flash 0423
LMArena Text: longer queries14341412DeepSeek V4 Flash 0423
LMArena Text: writing and language14101403DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001404GLM 4.5
Neither model has a result on the other 24 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 4.5
BenchmarkDeepSeek V4 Flash 0423GLM 4.5Leader
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 4.5$0.0017Fits 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 4.5$0.037Fits 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 4.5$0.142Exceeds 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 4.5
SpecificationDeepSeek V4 Flash 0423Z.ai GLM 4.5
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026July 25, 2025
Context window1.05M131K
Input $/Mtok$0.14$0.60
Output $/Mtok$0.28$2.20
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 4.5 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 7.9x cheaper ($0.28 vs $2.20 per million) and a larger context window (1.05M against 131K tokens).

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

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; GLM 4.5 costs $0.60 and $2.20. Cost per solved task is known for neither of them.

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

DeepSeek V4 Flash 0423, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs GLM 4.5 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 4.5's on 0. Where only one model has a result, the page says so instead of naming a winner.

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