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DeepSeek V4 Pro 0423 vs GLM 4.7

GLM 4.7 leads DeepSeek V4 Pro 0423 on coding, 55.1 to 38.7 on the Vibe Coding Index, and GLM 4.7 costs 1.2x less per output token ($2.20 vs $2.716 per million). Updated October 22, 2026; 62 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace GLM 4.7
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.716
54
GLM 4.7Z.ai
Coding
55.1
Overall
56.9
Output $/M
$2.20
8
vs boards won of 62 shared

DeepSeek V4 Pro 0423 or GLM 4.7: which to pick

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 2 benchmarks against 5.

Pick DeepSeek V4 Pro 0423 for a larger context window (1.05M against 205K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved taskModel BGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved task
Shared results
62
DeepSeek V4 Pro 0423 only
22
GLM 4.7 only
19
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 Pro 0423 38.7 from 5 benchmarks, GLM 4.7 55.1 from 2 benchmarks.
Widest category
Math, 8.4 points apart on average over 4 shared benchmarks.
Widest single gap
ALE-Bench: DeepSeek V4 Pro 0423 1006.1 against GLM 4.7 399.5, 20.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0423 $2.716 against GLM 4.7 $2.20 per million output tokens, 1.2x apart.
Context window
DeepSeek V4 Pro 0423 takes 1.05M tokens, GLM 4.7 205K.

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 Pro 0423BarsGLM 4.7Ties
Coding81
Intelligence20
Agentic work21
Reasoning51
Math40
Knowledge92
Web design62
General181
All shared boards548
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
Coding benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
LMArena WebDev14471435DeepSeek V4 Pro 0423
AA Coding Index59.445.3DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)87.5%82.2%DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)77.4%69.4%DeepSeek V4 Pro 0423
Terminal-Bench 4 (Vals AI)11.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)49.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
Code migration (Vals AI)26.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
SkillsBench (Vals AI)51.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
LiveCodeBench (Artificial Analysis run)Not measured89.4%Only GLM 4.7 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.8%Only GLM 4.7 measured
Terminal-BenchNot measured33.4%Only GLM 4.7 measured
FrontierCode17.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
WeirdML48.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
ALE-Bench1006.1399.5DeepSeek V4 Pro 0423
LMArena Text: coding14701454DeepSeek V4 Pro 0423
LMArena Text: software and IT14691453DeepSeek V4 Pro 0423
LMArena WebDev: React14411420DeepSeek V4 Pro 0423
LMArena WebDev: HTML14351447GLM 4.7
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
AA Intelligence Index30.422.2DeepSeek V4 Pro 0423
Epoch Capabilities Index149.1143.6DeepSeek V4 Pro 0423
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
Agentic work benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building web apps1000Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps9481050GLM 4.7
Design Arena: agents building mobile appsNot measured1105Only GLM 4.7 measured
Design Arena: agents building Android appsNot measured1113Only GLM 4.7 measured
Design Arena: agents building Godot games10591058DeepSeek V4 Pro 0423
Finance Agent (Vals AI)44.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Tax Agent Bench (Vals AI)25.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
Legal Research Bench (Vals AI)23.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Excel Modeling Benchmark (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
τ²-Bench TelecomNot measured95.9%Only GLM 4.7 measured
Vending-Bench 2$3,285$2,377DeepSeek V4 Pro 0423
BrowseComp-PlusNot measured64.7%Only GLM 4.7 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
GPQA Diamond89.4%80.0%DeepSeek V4 Pro 0423
GPQA Diamond (Artificial Analysis run)Not measured85.9%Only GLM 4.7 measured
Humanity's Last Exam (Artificial Analysis run)Not measured27.4%Only GLM 4.7 measured
GPQA Diamond (Epoch AI run)90.9%83.3%DeepSeek V4 Pro 0423
SimpleBenchNot measured47.7%Only GLM 4.7 measured
Chess puzzles19.0%21.0%GLM 4.7
Mystery game puzzles17.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts14611443DeepSeek V4 Pro 0423
LMArena Text: expert14631424DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English14661452DeepSeek V4 Pro 0423
Kagi LLM Benchmark53.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
AIMENot measured93.3%Only GLM 4.7 measured
MGSM (Vals AI)Not measured88.2%Only GLM 4.7 measured
AA Math IndexNot measured95.0Only GLM 4.7 measured
AIME 2025 (Artificial Analysis run)Not measured95.0%Only GLM 4.7 measured
OTIS Mock AIME96.7%83.3%DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 345.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
FrontierMath, tier 42.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProofBench16.0%6.0%DeepSeek V4 Pro 0423
LMArena Text: math14431424DeepSeek V4 Pro 0423
LMArena Text: mathematical work14551411DeepSeek V4 Pro 0423
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index92
Knowledge benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
MMLU Pro87.3%82.7%DeepSeek V4 Pro 0423
LegalBench (Vals AI)80.3%83.4%GLM 4.7
CaseLaw (Vals AI)59.4%54.9%DeepSeek V4 Pro 0423
CorpFin (Vals AI)61.4%46.4%DeepSeek V4 Pro 0423
TaxEval (Vals AI)72.1%68.8%DeepSeek V4 Pro 0423
MedQA (Vals AI)Not measured93.7%Only GLM 4.7 measured
MedCode (Vals AI)40.5%32.8%DeepSeek V4 Pro 0423
MMLU Pro (Artificial Analysis run)Not measured85.6%Only GLM 4.7 measured
SimpleQA Verified47.0%32.2%DeepSeek V4 Pro 0423
LMArena Text: science14701457DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14661469GLM 4.7
LMArena Text: legal and government14641444DeepSeek V4 Pro 0423
LMArena Text: business and finance14431429DeepSeek V4 Pro 0423
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index62
Web design benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
Design Arena: websites12341225DeepSeek V4 Pro 0423
Design Arena: UI components12191197DeepSeek V4 Pro 0423
Design Arena: game dev12281188DeepSeek V4 Pro 0423
Design Arena: data viz12031196DeepSeek V4 Pro 0423
Design Arena: 3D12531190DeepSeek V4 Pro 0423
Design Arena: all code categories12401216DeepSeek V4 Pro 0423
Design Arena: SVG11391142GLM 4.7
Design Arena: ASCII art11491165GLM 4.7
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
Public Benefits Bench (Vals AI)62.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
MedScribe (Vals AI)75.1%68.6%DeepSeek V4 Pro 0423
IFBenchNot measured67.9%Only GLM 4.7 measured
Long context reasoning (AA-LCR)Not measured71.0%Only GLM 4.7 measured
DTBench90.7%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMCA41.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
CL-benchNot measured15.9%Only GLM 4.7 measured
Surface Evolver Bench40.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
CL-bench Life13.5%10.9%DeepSeek V4 Pro 0423
LMArena Text14511435DeepSeek V4 Pro 0423
LMArena Text: instruction following14451412DeepSeek V4 Pro 0423
LMArena Text: creative writing14461401DeepSeek V4 Pro 0423
LMArena Text: English14591453DeepSeek V4 Pro 0423
LMArena Text: non-English14391417DeepSeek V4 Pro 0423
LMArena Text: Chinese14811495GLM 4.7
LMArena Text: German14581426DeepSeek V4 Pro 0423
LMArena Text: Japanese14461439DeepSeek V4 Pro 0423
LMArena Text: Korean14091399DeepSeek V4 Pro 0423
LMArena Text: French14731432DeepSeek V4 Pro 0423
LMArena Text: Spanish14571434DeepSeek V4 Pro 0423
LMArena Text: Russian14531423DeepSeek V4 Pro 0423
LMArena Text: Polish14611435DeepSeek V4 Pro 0423
LMArena Text: multi-turn14681446DeepSeek V4 Pro 0423
LMArena Text: longer queries14581432DeepSeek V4 Pro 0423
LMArena Text: writing and language14471411DeepSeek V4 Pro 0423
LMArena Text: entertainment and media14311400DeepSeek V4 Pro 0423
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0423 and GLM 4.7
BenchmarkDeepSeek V4 Pro 0423GLM 4.7Leader
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 Pro 0423$0.0026Fits in one request
GLM 4.7$0.0017Fits in one request

GLM 4.7 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.069Fits in one request
GLM 4.7$0.037Fits in one request

GLM 4.7 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.272Fits in one request
GLM 4.7$0.142Exceeds the context window

GLM 4.7 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 Pro 0423 and GLM 4.7
SpecificationDeepSeek V4 Pro 0423Z.ai GLM 4.7
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026December 22, 2025
Context window1.05M205K
Input $/Mtok$1.225$0.60
Output $/Mtok$2.716$2.20
Coding index38.755.1
Independent measurements behind it52
Cost per solved task$0.57$0.29
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than GLM 4.7 for coding?

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 2 benchmarks against 5. Pick DeepSeek V4 Pro 0423 for a larger context window (1.05M against 205K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, DeepSeek V4 Pro 0423 or GLM 4.7?

DeepSeek V4 Pro 0423 costs $1.225 per million input tokens and $2.716 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and GLM 4.7 $0.29.

Which has the bigger context window, DeepSeek V4 Pro 0423 or GLM 4.7?

DeepSeek V4 Pro 0423, with 1.05M tokens against 205K.

How many benchmarks is the DeepSeek V4 Pro 0423 vs GLM 4.7 comparison based on?

62 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and GLM 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.

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