LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

DeepSeek V4.1 Flash vs GLM 5.3 Flash

Updated October 21, 2026. 90 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4.1 Flash Replace GLM 5.3 Flash
DeepSeek V4.1 FlashDeepSeek
Coding
77.2
Overall
24.7
Output $/M
$0.525
43
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
45
vs boards won of 90 shared, 2 tied

Decision reading

Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 71.0 for GLM 5.3 Flash.

Pick GLM 5.3 Flash when output tokens cost 1.1x less, or when what matters is Terminal-Bench 4 (Vals AI) or IOI (Vals AI), where it leads.

Model ADeepSeek V4.1 FlashDeepSeek77.2/1002 independent benchmarksNo cost per solved taskModel BGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved task
Shared results
90
DeepSeek V4.1 Flash only
11
GLM 5.3 Flash only
12
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 V4.1 Flash 77.2 from 2 benchmarks, GLM 5.3 Flash 71.0 from 2 benchmarks.
Widest category
Coding, 11.3 points apart on average over 19 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4.1 Flash 84.7% against GLM 5.3 Flash 30.8%, 54.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash $0.525 against GLM 5.3 Flash $0.50 per million output tokens, 1.1x apart.
Context window
Both take 1.05M tokens.

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 V4.1 FlashBarsGLM 5.3 FlashTies
Coding154
Intelligence11
Agentic work352 ties
Reasoning57
Math42
Knowledge23
Web design63
General720
All shared boards43452 ties
CodingLike-for-likeFour of these boards feed the Vibe Coding Index154
Coding benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
LiveBench coding90.2%80.6%DeepSeek V4.1 Flash
LMArena WebDev16181607DeepSeek V4.1 Flash
AA Coding IndexNot measured71.5Only GLM 5.3 Flash measured
LiveCodeBench (Vals AI)Not measured80.5%Only GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)Not measured92.0%Only GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)19.7%37.4%GLM 5.3 Flash
Vibe Code Bench (Vals AI)84.7%30.8%DeepSeek V4.1 Flash
Code migration (Vals AI)45.6%20.5%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.5%0.0%DeepSeek V4.1 Flash
IOI (Vals AI)40.3%52.5%GLM 5.3 Flash
Terminal-Bench 2.1 (Vals AI)74.5%62.9%DeepSeek V4.1 Flash
SWE-bench Multimodal (Vals AI)46.5%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.4%16.0%DeepSeek V4.1 Flash
SkillsBench (Vals AI)69.8%40.2%DeepSeek V4.1 Flash
CyberBench (Vals AI)73.7%67.9%DeepSeek V4.1 Flash
SciCode51.9%51.6%DeepSeek V4.1 Flash
FrontierCode43.9%31.8%DeepSeek V4.1 Flash
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
ALE-Bench1092.3303.6DeepSeek V4.1 Flash
LMArena Text: coding15021507GLM 5.3 Flash
LMArena Text: software and IT14961500GLM 5.3 Flash
LMArena WebDev: React16281624DeepSeek V4.1 Flash
LMArena WebDev: HTML16121577DeepSeek V4.1 Flash
LMArena WebDev: from an image16061578DeepSeek V4.1 Flash
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
AA Intelligence Index24.741.8GLM 5.3 Flash
Epoch Capabilities Index155.9153.1DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index35
Agentic work benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
AA Agentic IndexNot measured50.9Only GLM 5.3 Flash measured
LiveBench research86.8%70.1%DeepSeek V4.1 Flash
LiveBench browser84.0%84.0%Tie
LiveBench long agentic40.1%28.4%DeepSeek V4.1 Flash
SREBench (Vals AI)0.8%0.8%Tie
Finance Agent (Vals AI)53.5%57.9%GLM 5.3 Flash
Tax Agent Bench (Vals AI)26.6%31.6%GLM 5.3 Flash
Legal Research Bench (Vals AI)41.4%45.2%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.4%Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)57.2%55.9%DeepSeek V4.1 Flash
BioMysteryBench (Vals AI)67.8%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)0.0%2.9%GLM 5.3 Flash
Vals Science Index29.6%Not measuredOnly DeepSeek V4.1 Flash measured
APEX-Agents39.5%52.8%GLM 5.3 Flash
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index57
Reasoning benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
GPQA DiamondNot measured86.4%Only GLM 5.3 Flash measured
LiveBench reasoning86.7%77.6%DeepSeek V4.1 Flash
MysteryMechanism (Vals AI)21.2%Not measuredOnly DeepSeek V4.1 Flash measured
MMMU Pro (Vals AI)Not measured86.0%Only GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured91.2%Only GLM 5.3 Flash measured
Humanity's Last Exam (Artificial Analysis run)39.2%39.9%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)89.8%90.2%GLM 5.3 Flash
ARC-AGI94.5%91.0%DeepSeek V4.1 Flash
ARC-AGI-272.9%65.8%DeepSeek V4.1 Flash
Chess puzzles48.0%21.0%DeepSeek V4.1 Flash
Mystery game puzzles43.0%8.0%DeepSeek V4.1 Flash
LMArena Text: hard prompts14831490GLM 5.3 Flash
LMArena Text: expert15011511GLM 5.3 Flash
LMArena Text: hard prompts in English14881488GLM 5.3 Flash
LMArena Vision: diagrams12971317GLM 5.3 Flash
LMArena Vision: homework13071318GLM 5.3 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
OTIS Mock AIME98.3%93.9%DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 367.4%55.8%DeepSeek V4.1 Flash
FrontierMath, tier 426.8%17.1%DeepSeek V4.1 Flash
ProofBench54.0%21.0%DeepSeek V4.1 Flash
LMArena Text: math14781503GLM 5.3 Flash
LMArena Text: mathematical work14851497GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
MMLU ProNot measured86.1%Only GLM 5.3 Flash measured
LegalBench (Vals AI)83.3%83.9%GLM 5.3 Flash
TaxEval (Vals AI)Not measured75.6%Only GLM 5.3 Flash measured
MedCode (Vals AI)41.2%Not measuredOnly DeepSeek V4.1 Flash measured
SimpleQA Verified42.9%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text: science14691484GLM 5.3 Flash
LMArena Text: medicine and healthcare14841475DeepSeek V4.1 Flash
LMArena Text: legal and government14431473GLM 5.3 Flash
LMArena Text: business and finance14611460DeepSeek V4.1 Flash
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index63
Web design benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
Design Arena: websites13091272DeepSeek V4.1 Flash
Design Arena: UI components13141316GLM 5.3 Flash
Design Arena: game dev13311279DeepSeek V4.1 Flash
Design Arena: data viz12901262DeepSeek V4.1 Flash
Design Arena: 3D13561316DeepSeek V4.1 Flash
Design Arena: all code categories13201282DeepSeek V4.1 Flash
Design Arena: SVG12431284GLM 5.3 Flash
Design Arena: ASCII art12651269GLM 5.3 Flash
LiveBench design79.2%77.2%DeepSeek V4.1 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index720
General benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
Vals IndexNot measured50.9%Only GLM 5.3 Flash measured
LiveBench data analysis79.3%76.4%DeepSeek V4.1 Flash
Public Benefits Bench (Vals AI)64.3%Not measuredOnly DeepSeek V4.1 Flash measured
SAGE (Vals AI)47.9%Not measuredOnly DeepSeek V4.1 Flash measured
MedScribe (Vals AI)85.5%88.9%GLM 5.3 Flash
Long context reasoning (AA-LCR)84.0%80.0%DeepSeek V4.1 Flash
DTBench89.9%Not measuredOnly DeepSeek V4.1 Flash measured
LMCA47.0%Not measuredOnly DeepSeek V4.1 Flash measured
Surface Evolver Bench46.3%52.5%GLM 5.3 Flash
Furniture assembly34.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text14641471GLM 5.3 Flash
LMArena Text: instruction following14731478GLM 5.3 Flash
LMArena Text: creative writing14371441GLM 5.3 Flash
LMArena Vision12781294GLM 5.3 Flash
LMArena Text: English14731474GLM 5.3 Flash
LMArena Text: non-English14491462GLM 5.3 Flash
LMArena Text: Chinese15011531GLM 5.3 Flash
LMArena Text: German14701462DeepSeek V4.1 Flash
LMArena Text: Japanese14321444GLM 5.3 Flash
LMArena Text: Korean14361436GLM 5.3 Flash
LMArena Text: French14651491GLM 5.3 Flash
LMArena Text: Spanish14591475GLM 5.3 Flash
LMArena Text: Russian14671465DeepSeek V4.1 Flash
LMArena Text: Polish14571450DeepSeek V4.1 Flash
LMArena Text: multi-turn14611469GLM 5.3 Flash
LMArena Text: longer queries14731481GLM 5.3 Flash
LMArena Text: writing and language14501455GLM 5.3 Flash
LMArena Text: entertainment and media14451440DeepSeek V4.1 Flash
LMArena Vision: English12881295GLM 5.3 Flash
LMArena Vision: Chinese13271363GLM 5.3 Flash
LMArena Vision: reading text12821299GLM 5.3 Flash
LMArena Vision: humor12601279GLM 5.3 Flash
LMArena Vision: creative writing12751270DeepSeek V4.1 Flash
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4.1 Flash and GLM 5.3 Flash
BenchmarkDeepSeek V4.1 FlashGLM 5.3 FlashLeader
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 V4.1 Flash$0.0003Fits in one request
GLM 5.3 Flash$0.0004Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash$0.0040Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash$0.015Fits in one request
GLM 5.3 Flash$0.035Fits in one request

DeepSeek V4.1 Flash 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 V4.1 Flash and GLM 5.3 Flash
SpecificationDeepSeek V4.1 FlashZ.ai GLM 5.3 Flash
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedSeptember 10, 2026August 26, 2026
Context window1.05M1.05M
Input $/Mtok$0.049$0.15
Output $/Mtok$0.525$0.50
Coding index77.271.0
Independent measurements behind it22
Cost per solved taskNot computable$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than GLM 5.3 Flash for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 71.0 for GLM 5.3 Flash. Pick GLM 5.3 Flash when output tokens cost 1.1x less, or when what matters is Terminal-Bench 4 (Vals AI) or IOI (Vals AI), where it leads.

Which is cheaper, DeepSeek V4.1 Flash or GLM 5.3 Flash?

DeepSeek V4.1 Flash costs $0.049 per million input tokens and $0.525 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, DeepSeek V4.1 Flash or GLM 5.3 Flash?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4.1 Flash vs GLM 5.3 Flash comparison based on?

90 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 2 independent benchmarks and GLM 5.3 Flash'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-v4-1-flash-vs-glm-5-3-flash" title="DeepSeek V4.1 Flash vs GLM 5.3 Flash, 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-v4-1-flash-vs-glm-5-3-flash">LLMBenchmark.ai, DeepSeek V4.1 Flash vs GLM 5.3 Flash</a></p>