Enter opens the highlighted result. Esc closes.

DeepSeek V4 Flash 0731 vs GLM 4.6

DeepSeek V4 Flash 0731 leads GLM 4.6 on coding, 51.8 to 8.8 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 7.9x less per output token ($0.28 vs $2.20 per million). Updated October 21, 2026; 20 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0731 Replace GLM 4.6
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
34.3
Output $/M
$0.28
19
GLM 4.6Z.ai
Coding
8.8
Overall
18.5
Output $/M
$2.20
1
vs boards won of 20 shared

DeepSeek V4 Flash 0731 or GLM 4.6: which to pick

Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 8.8 for GLM 4.6.

Pick GLM 4.6 for work measured by LegalBench (Vals AI), where it leads.

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved task
Shared results
20
DeepSeek V4 Flash 0731 only
35
GLM 4.6 only
46
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 Flash 0731 51.8 from 4 benchmarks, GLM 4.6 8.8 from 2 benchmarks.
Widest category
Coding, 33.3 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Flash 0731 74.7% against GLM 4.6 3.1%, 71.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.28 against GLM 4.6 $2.20 per million output tokens, 7.9x apart.
Context window
DeepSeek V4 Flash 0731 takes 1.05M tokens, GLM 4.6 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 Flash 0731BarsGLM 4.6Ties
Coding40
Intelligence10
Reasoning30
Knowledge31
Web design70
General10
All shared boards191
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
SWE-bench VerifiedNot measured68.2%Only GLM 4.6 measured
LMArena WebDevNot measured1341Only GLM 4.6 measured
AA Coding Index69.145.8DeepSeek V4 Flash 0731
LiveCodeBench (Vals AI)87.3%81.0%DeepSeek V4 Flash 0731
SWE-bench Verified (Vals AI)88.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 4 (Vals AI)18.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Vibe Code Bench (Vals AI)74.7%3.1%DeepSeek V4 Flash 0731
Code migration (Vals AI)38.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
IOI (Vals AI)32.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
SkillsBench (Vals AI)50.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CyberBench (Vals AI)72.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Artificial Analysis run)Not measured69.5%Only GLM 4.6 measured
SciCode50.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured28.8%Only GLM 4.6 measured
Terminal-BenchNot measured24.5%Only GLM 4.6 measured
FrontierCode18.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
WeirdML63.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ALE-Bench1306.1340.8DeepSeek V4 Flash 0731
LMArena Text: codingNot measured1449Only GLM 4.6 measured
LMArena Text: software and ITNot measured1455Only GLM 4.6 measured
LMArena WebDev: HTMLNot measured1350Only GLM 4.6 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 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
AA Intelligence Index34.318.5DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8Not measuredOnly DeepSeek V4 Flash 0731 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
AA Agentic Index41.0Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: agents building full-stack appsNot measured1029Only GLM 4.6 measured
Design Arena: agents building mobile appsNot measured1096Only GLM 4.6 measured
Design Arena: agents building Android appsNot measured1084Only GLM 4.6 measured
Design Arena: agents building Godot gamesNot measured1180Only GLM 4.6 measured
Finance Agent (Vals AI)49.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
Tax Agent Bench (Vals AI)28.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Legal Research Bench (Vals AI)30.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
BioMysteryBench (Vals AI)64.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
τ²-Bench TelecomNot measured76.9%Only GLM 4.6 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
GPQA Diamond89.9%74.5%DeepSeek V4 Flash 0731
GPQA Diamond (Artificial Analysis run)90.8%78.0%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%14.5%DeepSeek V4 Flash 0731
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI89.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI-261.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleBench61.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Chess puzzles32.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Mystery game puzzles34.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMArena Text: hard promptsNot measured1440Only GLM 4.6 measured
LMArena Text: expertNot measured1432Only GLM 4.6 measured
LMArena Text: hard prompts in EnglishNot measured1445Only GLM 4.6 measured
Neither model has a result on the other 9 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for DeepSeek V4 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
AIMENot measured92.7%Only GLM 4.6 measured
MGSM (Vals AI)Not measured89.8%Only GLM 4.6 measured
AA Math IndexNot measured86.0Only GLM 4.6 measured
AIME 2025 (Artificial Analysis run)Not measured86.0%Only GLM 4.6 measured
OTIS Mock AIME94.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tiers 1 to 357.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tier 424.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProofBench56.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMArena Text: mathNot measured1432Only GLM 4.6 measured
LMArena Text: mathematical workNot measured1447Only GLM 4.6 measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for DeepSeek V4 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
MMLU Pro86.2%82.2%DeepSeek V4 Flash 0731
LegalBench (Vals AI)77.7%79.6%GLM 4.6
CorpFin (Vals AI)61.9%56.8%DeepSeek V4 Flash 0731
TaxEval (Vals AI)70.7%66.2%DeepSeek V4 Flash 0731
MedQA (Vals AI)Not measured92.2%Only GLM 4.6 measured
MedCode (Vals AI)41.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
MMLU Pro (Artificial Analysis run)Not measured82.9%Only GLM 4.6 measured
SimpleQA Verified33.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMArena Text: scienceNot measured1456Only GLM 4.6 measured
LMArena Text: medicine and healthcareNot measured1455Only GLM 4.6 measured
LMArena Text: legal and governmentNot measured1448Only GLM 4.6 measured
LMArena Text: business and financeNot measured1416Only GLM 4.6 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for DeepSeek V4 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
Design Arena: websites12381174DeepSeek V4 Flash 0731
Design Arena: UI components12351148DeepSeek V4 Flash 0731
Design Arena: game dev12081151DeepSeek V4 Flash 0731
Design Arena: data viz11801161DeepSeek V4 Flash 0731
Design Arena: 3D12091129DeepSeek V4 Flash 0731
Design Arena: all code categories12301166DeepSeek V4 Flash 0731
Design Arena: SVG11851109DeepSeek V4 Flash 0731
Design Arena: ASCII art1090Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for DeepSeek V4 Flash 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
MedScribe (Vals AI)80.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
IFBenchNot measured43.4%Only GLM 4.6 measured
Long context reasoning (AA-LCR)79.7%54.0%DeepSeek V4 Flash 0731
DTBench90.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMCA41.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMArena TextNot measured1440Only GLM 4.6 measured
LMArena Text: instruction followingNot measured1410Only GLM 4.6 measured
LMArena Text: creative writingNot measured1412Only GLM 4.6 measured
LMArena Text: EnglishNot measured1449Only GLM 4.6 measured
LMArena Text: non-EnglishNot measured1426Only GLM 4.6 measured
LMArena Text: ChineseNot measured1499Only GLM 4.6 measured
LMArena Text: GermanNot measured1447Only GLM 4.6 measured
LMArena Text: JapaneseNot measured1393Only GLM 4.6 measured
LMArena Text: KoreanNot measured1400Only GLM 4.6 measured
LMArena Text: FrenchNot measured1459Only GLM 4.6 measured
LMArena Text: SpanishNot measured1436Only GLM 4.6 measured
LMArena Text: RussianNot measured1418Only GLM 4.6 measured
LMArena Text: PolishNot measured1447Only GLM 4.6 measured
LMArena Text: multi-turnNot measured1427Only GLM 4.6 measured
LMArena Text: longer queriesNot measured1422Only GLM 4.6 measured
LMArena Text: writing and languageNot measured1415Only GLM 4.6 measured
LMArena Text: entertainment and mediaNot measured1409Only GLM 4.6 measured
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 0731 and GLM 4.6
BenchmarkDeepSeek V4 Flash 0731GLM 4.6Leader
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 0731$0.0003Fits in one request
GLM 4.6$0.0017Fits in one request

DeepSeek V4 Flash 0731 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0731$0.0078Fits in one request
GLM 4.6$0.037Fits in one request

DeepSeek V4 Flash 0731 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.031Fits in one request
GLM 4.6$0.142Exceeds the context window

DeepSeek V4 Flash 0731 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 0731 and GLM 4.6
SpecificationDeepSeek V4 Flash 0731Z.ai GLM 4.6
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedJuly 31, 2026September 30, 2025
Context window1.05M205K
Input $/Mtok$0.14$0.60
Output $/Mtok$0.28$2.20
Coding index51.88.8
Independent measurements behind it42
Cost per solved task$0.01Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than GLM 4.6 for coding?

Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 8.8 for GLM 4.6. Pick GLM 4.6 for work measured by LegalBench (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Flash 0731 or GLM 4.6?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.28 per million output tokens; GLM 4.6 costs $0.60 and $2.20. Cost per solved task is known for DeepSeek V4 Flash 0731 only.

Which has the bigger context window, DeepSeek V4 Flash 0731 or GLM 4.6?

DeepSeek V4 Flash 0731, with 1.05M tokens against 205K.

How many benchmarks is the DeepSeek V4 Flash 0731 vs GLM 4.6 comparison based on?

20 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0731's coding index rests on 4 independent benchmarks and GLM 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/deepseek-v4-flash-0731-vs-glm-4-6" title="DeepSeek V4 Flash 0731 vs GLM 4.6, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-flash-0731-vs-glm-4-6">LLMBenchmark.ai, DeepSeek V4 Flash 0731 vs GLM 4.6</a></p>