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DeepSeek V4 Pro 0813 vs GLM 5

DeepSeek V4 Pro 0813 leads GLM 5 on coding, 56.1 to 41.7 on the Vibe Coding Index, and DeepSeek V4 Pro 0813 costs 1.6x less per output token ($1.98 vs $3.20 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace GLM 5
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
36
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
11
vs boards won of 47 shared

DeepSeek V4 Pro 0813 or GLM 5: which to pick

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 41.7 for GLM 5.

Pick GLM 5 for work measured by LMArena Text: mathematical work or LegalBench (Vals AI), where it leads.

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved taskModel BGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved task
Shared results
47
DeepSeek V4 Pro 0813 only
31
GLM 5 only
29
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 5 41.7 from 3 benchmarks.
Widest category
Coding, 19.8 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against GLM 5 23.4%, 58.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against GLM 5 $3.20 per million output tokens, 1.6x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M tokens, GLM 5 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 0813BarsGLM 5Ties
Coding100
Intelligence20
Reasoning90
Math21
Knowledge53
General87
All shared boards3611
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
Coding benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
SWE-bench VerifiedNot measured72.8%Only GLM 5 measured
SWE-bench MultilingualNot measured69.7%Only GLM 5 measured
LMArena WebDev15821435DeepSeek V4 Pro 0813
AA Coding Index68.8Not measuredOnly DeepSeek V4 Pro 0813 measured
LiveCodeBench (Vals AI)87.5%81.9%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)96.4%71.4%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%23.4%DeepSeek V4 Pro 0813
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
SciCode51.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only GLM 5 measured
Terminal-BenchNot measured52.4%Only GLM 5 measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%48.2%DeepSeek V4 Pro 0813
ALE-Bench1403.2765.6DeepSeek V4 Pro 0813
LMArena Text: coding14691461DeepSeek V4 Pro 0813
LMArena Text: software and IT14621460DeepSeek V4 Pro 0813
LMArena WebDev: React15881424DeepSeek V4 Pro 0813
LMArena WebDev: HTML15661450DeepSeek V4 Pro 0813
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
AA Intelligence Index36.027.9DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6145.8DeepSeek V4 Pro 0813
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
AA Agentic Index41.3Not measuredOnly DeepSeek V4 Pro 0813 measured
Design Arena: agents building full-stack appsNot measured1123Only GLM 5 measured
Design Arena: agents building mobile appsNot measured1136Only GLM 5 measured
Design Arena: agents building Android appsNot measured1147Only GLM 5 measured
Design Arena: agents building Godot gamesNot measured1144Only GLM 5 measured
Design Arena: HTML slidesNot measured1098Only GLM 5 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 measured98.2%Only GLM 5 measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vending-Bench 2Not measured$4,432Only GLM 5 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
GPQA Diamond92.4%83.3%DeepSeek V4 Pro 0813
GPQA Diamond (Artificial Analysis run)92.8%82.0%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%29.3%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%87.8%DeepSeek V4 Pro 0813
ARC-AGI90.5%44.7%DeepSeek V4 Pro 0813
ARC-AGI-261.3%4.9%DeepSeek V4 Pro 0813
SimpleBenchNot measured53.2%Only GLM 5 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 prompts14581452DeepSeek V4 Pro 0813
LMArena Text: expert14591454DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631460DeepSeek V4 Pro 0813
Kagi LLM BenchmarkNot measured75.0%Only GLM 5 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
AIMENot measured91.7%Only GLM 5 measured
OTIS Mock AIME98.6%80.0%DeepSeek V4 Pro 0813
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: math14411440DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431451GLM 5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index53
Knowledge benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
MMLU Pro87.0%86.0%DeepSeek V4 Pro 0813
LegalBench (Vals AI)82.4%84.1%GLM 5
CaseLaw (Vals AI)Not measured52.5%Only GLM 5 measured
CorpFin (Vals AI)65.4%62.9%DeepSeek V4 Pro 0813
TaxEval (Vals AI)73.1%70.0%DeepSeek V4 Pro 0813
MedQA (Vals AI)Not measured94.3%Only GLM 5 measured
MedCode (Vals AI)42.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SimpleQA Verified52.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: science14571460GLM 5
LMArena Text: medicine and healthcare14461455GLM 5
LMArena Text: legal and government14591453DeepSeek V4 Pro 0813
LMArena Text: business and finance14421430DeepSeek 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 index8 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
Design Arena: websitesNot measured1247Only GLM 5 measured
Design Arena: UI componentsNot measured1227Only GLM 5 measured
Design Arena: game devNot measured1234Only GLM 5 measured
Design Arena: data vizNot measured1228Only GLM 5 measured
Design Arena: 3DNot measured1228Only GLM 5 measured
Design Arena: all code categoriesNot measured1246Only GLM 5 measured
Design Arena: SVGNot measured1168Only GLM 5 measured
Design Arena: ASCII artNot measured1147Only GLM 5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index87
General benchmarks for DeepSeek V4 Pro 0813 and GLM 5
BenchmarkDeepSeek V4 Pro 0813GLM 5Leader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)80.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
IFBenchNot measured72.3%Only GLM 5 measured
Long context reasoning (AA-LCR)80.3%75.7%DeepSeek V4 Pro 0813
DTBench93.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMCA45.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
CL-benchNot measured18.7%Only GLM 5 measured
LMArena Text14461446GLM 5
LMArena Text: instruction following14481428DeepSeek V4 Pro 0813
LMArena Text: creative writing14391438DeepSeek V4 Pro 0813
LMArena Text: English14571458GLM 5
LMArena Text: non-English14311430DeepSeek V4 Pro 0813
LMArena Text: Chinese14811511GLM 5
LMArena Text: GermanNot measured1447Only GLM 5 measured
LMArena Text: JapaneseNot measured1416Only GLM 5 measured
LMArena Text: Korean14491423DeepSeek V4 Pro 0813
LMArena Text: French14461456GLM 5
LMArena Text: Spanish14351454GLM 5
LMArena Text: Russian14481436DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1434Only GLM 5 measured
LMArena Text: multi-turn14541456GLM 5
LMArena Text: longer queries14581446DeepSeek V4 Pro 0813
LMArena Text: writing and language14431437DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241426GLM 5
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 5
BenchmarkDeepSeek V4 Pro 0813GLM 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 5$0.0026Fits 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 5$0.060Fits in one request

DeepSeek V4 Pro 0813 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0813$0.152Fits in one request
GLM 5$0.232Exceeds the context window

DeepSeek V4 Pro 0813 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 5
SpecificationDeepSeek V4 Pro 0813Z.ai GLM 5
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026February 11, 2026
Context window1.05M205K
Input $/Mtok$0.66$1.00
Output $/Mtok$1.98$3.20
Coding index56.141.7
Independent measurements behind it53
Cost per solved task$0.10$0.63
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than GLM 5 for coding?

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 41.7 for GLM 5. Pick GLM 5 for work measured by LMArena Text: mathematical work or LegalBench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Pro 0813 or GLM 5?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; GLM 5 costs $1.00 and $3.20. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and GLM 5 $0.63.

Which has the bigger context window, DeepSeek V4 Pro 0813 or GLM 5?

DeepSeek V4 Pro 0813, with 1.05M tokens against 205K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs GLM 5 comparison based on?

47 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 5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-pro-0813-vs-glm-5">LLMBenchmark.ai, DeepSeek V4 Pro 0813 vs GLM 5</a></p>