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DeepSeek V4 Pro 0813 vs GLM 4.5

DeepSeek V4 Pro 0813 leads GLM 4.5 on the Artificial Analysis Intelligence Index, 36.0 to 12.8, at about the same output price ($1.98 vs $2.20 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace GLM 4.5
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
35
GLM 4.5Z.ai
Coding
No data
Overall
No data
Output $/M
$2.20
2
vs boards won of 37 shared

DeepSeek V4 Pro 0813 or GLM 4.5: which to pick

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; GLM 4.5 has none, so the two cannot be ranked on coding.

Pick GLM 4.5 for work measured by LMArena Text: medicine and healthcare or LMArena Text: Spanish, where it leads.

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved taskModel BGLM 4.5Z.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
DeepSeek V4 Pro 0813 only
41
GLM 4.5 only
24
Like-for-like categories
6 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 0813 56.1 from 5 benchmarks, GLM 4.5 not benchmarked.
Widest category
Intelligence, 23.2 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: DeepSeek V4 Pro 0813 1403.2 against GLM 4.5 344.8, 35.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against GLM 4.5 $2.20 per million output tokens, 1.1x apart.
Context window
DeepSeek V4 Pro 0813 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 Pro 0813BarsGLM 4.5Ties
Coding50
Intelligence10
Reasoning60
Math20
Knowledge71
General141
All shared boards352
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 4.5Leader
SWE-bench VerifiedNot measured64.2%Only GLM 4.5 measured
LMArena WebDev1582Not measuredOnly DeepSeek V4 Pro 0813 measured
AA Coding Index68.8Not measuredOnly DeepSeek V4 Pro 0813 measured
LiveCodeBench (Vals AI)87.5%67.5%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)96.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Code migration (Vals AI)41.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LiveCodeBench (Artificial Analysis run)Not measured73.8%Only GLM 4.5 measured
SciCode51.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.5 measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%40.6%DeepSeek V4 Pro 0813
ALE-Bench1403.2344.8DeepSeek V4 Pro 0813
LMArena Text: coding14691434DeepSeek V4 Pro 0813
LMArena Text: software and IT14621440DeepSeek V4 Pro 0813
LMArena WebDev: React1588Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena WebDev: HTML1566Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 4.5Leader
AA Intelligence Index36.012.8DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6Not measuredOnly DeepSeek V4 Pro 0813 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 4.5Leader
AA Agentic Index41.3Not measuredOnly DeepSeek V4 Pro 0813 measured
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Tax Agent Bench (Vals AI)26.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
τ²-Bench TelecomNot measured43.0%Only GLM 4.5 measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 4.5Leader
GPQA Diamond92.4%72.2%DeepSeek V4 Pro 0813
GPQA Diamond (Artificial Analysis run)92.8%78.2%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%13.0%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI90.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI-261.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Chess puzzles46.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts14581429DeepSeek V4 Pro 0813
LMArena Text: expert14591433DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631429DeepSeek V4 Pro 0813
Kagi LLM BenchmarkNot measured57.9%Only GLM 4.5 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 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
OTIS Mock AIME98.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tiers 1 to 364.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProofBench50.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: math14411427DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431430DeepSeek V4 Pro 0813
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
Knowledge benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 4.5Leader
MMLU Pro87.0%81.2%DeepSeek V4 Pro 0813
LegalBench (Vals AI)82.4%75.6%DeepSeek V4 Pro 0813
CorpFin (Vals AI)65.4%61.0%DeepSeek V4 Pro 0813
TaxEval (Vals AI)73.1%72.4%DeepSeek V4 Pro 0813
MedQA (Vals AI)Not measured90.0%Only GLM 4.5 measured
MedCode (Vals AI)42.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
MMLU Pro (Artificial Analysis run)Not measured83.5%Only GLM 4.5 measured
SimpleQA Verified52.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: science14571444DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461455GLM 4.5
LMArena Text: legal and government14591438DeepSeek V4 Pro 0813
LMArena Text: business and finance14421420DeepSeek V4 Pro 0813
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 4.5Leader
Design Arena: websitesNot measured1169Only GLM 4.5 measured
Design Arena: UI componentsNot measured1141Only GLM 4.5 measured
Design Arena: game devNot measured1144Only GLM 4.5 measured
Design Arena: data vizNot measured1159Only GLM 4.5 measured
Design Arena: 3DNot measured1170Only GLM 4.5 measured
Design Arena: all code categoriesNot measured1165Only GLM 4.5 measured
Design Arena: SVGNot measured1096Only GLM 4.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index141
General benchmarks for DeepSeek V4 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 4.5Leader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)80.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
IFBenchNot measured44.1%Only GLM 4.5 measured
Long context reasoning (AA-LCR)80.3%52.7%DeepSeek V4 Pro 0813
DTBench93.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMCA45.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
Creative writing (Lech Mazur)Not measured73.4%Only GLM 4.5 measured
LMArena Text14461430DeepSeek V4 Pro 0813
LMArena Text: instruction following14481404DeepSeek V4 Pro 0813
LMArena Text: creative writing14391395DeepSeek V4 Pro 0813
LMArena Text: English14571437DeepSeek V4 Pro 0813
LMArena Text: non-English14311417DeepSeek V4 Pro 0813
LMArena Text: Chinese14811465DeepSeek V4 Pro 0813
LMArena Text: GermanNot measured1407Only GLM 4.5 measured
LMArena Text: JapaneseNot measured1415Only GLM 4.5 measured
LMArena Text: Korean14491380DeepSeek V4 Pro 0813
LMArena Text: French14461418DeepSeek V4 Pro 0813
LMArena Text: Spanish14351454GLM 4.5
LMArena Text: Russian14481413DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1422Only GLM 4.5 measured
LMArena Text: multi-turn14541415DeepSeek V4 Pro 0813
LMArena Text: longer queries14581412DeepSeek V4 Pro 0813
LMArena Text: writing and language14431403DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241404DeepSeek V4 Pro 0813
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 Pro 0813 and GLM 4.5
BenchmarkDeepSeek V4 Pro 0813GLM 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 Pro 0813$0.0016Fits in one request
GLM 4.5$0.0017Fits in one request

DeepSeek V4 Pro 0813 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0813$0.039Fits in one request
GLM 4.5$0.037Fits in one request

GLM 4.5 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
GLM 4.5$0.142Exceeds the context window

GLM 4.5 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 0813 and GLM 4.5
SpecificationDeepSeek V4 Pro 0813Z.ai GLM 4.5
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026July 25, 2025
Context window1.05M131K
Input $/Mtok$0.66$0.60
Output $/Mtok$1.98$2.20
Coding index56.1Not benchmarked
Independent measurements behind it50
Cost per solved task$0.10Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than GLM 4.5 for coding?

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; GLM 4.5 has none, so the two cannot be ranked on coding. Pick GLM 4.5 for work measured by LMArena Text: medicine and healthcare or LMArena Text: Spanish, where it leads.

Which is cheaper, DeepSeek V4 Pro 0813 or GLM 4.5?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; GLM 4.5 costs $0.60 and $2.20. Cost per solved task is known for DeepSeek V4 Pro 0813 only.

Which has the bigger context window, DeepSeek V4 Pro 0813 or GLM 4.5?

DeepSeek V4 Pro 0813, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs GLM 4.5 comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 independent benchmarks 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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