Enter opens the highlighted result. Esc closes.

GLM 5.3 Flash vs GPT-4.1

Updated October 21, 2026. 60 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5.3 Flash Replace GPT-4.1
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
59
GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
1
vs boards won of 60 shared

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 46.5 for GPT-4.1.

Pick GPT-4.1 when the benchmark that matters is ALE-Bench, where it leads.

Model AGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved taskModel BGPT-4.1OpenAI46.5/1002 independent benchmarks$0.37 per solved task
Shared results
60
GLM 5.3 Flash only
42
GPT-4.1 only
27
Like-for-like categories
7 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
GLM 5.3 Flash 71.0 from 2 benchmarks, GPT-4.1 46.5 from 2 benchmarks.
Widest category
Math, 37.6 points apart on average over 4 shared benchmarks.
Widest single gap
ARC-AGI: GLM 5.3 Flash 91.0% against GPT-4.1 5.5%, 85.5 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against GPT-4.1 $8.00 per million output tokens, 16.0x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, GPT-4.1 1.05M.

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
CategoryGLM 5.3 FlashBarsGPT-4.1Ties
Coding31
Intelligence20
Reasoning130
Math40
Knowledge70
Web design60
General240
All shared boards591
CodingLike-for-likeFour of these boards feed the Vibe Coding Index31
Coding benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev1607Not measuredOnly GLM 5.3 Flash measured
AA Coding Index71.5Not measuredOnly GLM 5.3 Flash measured
LiveCodeBench (Vals AI)80.5%54.7%GLM 5.3 Flash
SWE-bench Verified (Vals AI)92.0%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%Not measuredOnly GLM 5.3 Flash measured
Code migration (Vals AI)20.5%Not measuredOnly GLM 5.3 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured45.7%Only GPT-4.1 measured
SciCode51.6%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured13.6%Only GPT-4.1 measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
WeirdMLNot measured39.0%Only GPT-4.1 measured
ALE-Bench303.6558.1GPT-4.1
LMArena Text: coding15071390GLM 5.3 Flash
LMArena Text: software and IT15001391GLM 5.3 Flash
LMArena WebDev: React1624Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: HTML1577Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 9 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
AA Intelligence Index41.812.7GLM 5.3 Flash
Epoch Capabilities Index153.1136.7GLM 5.3 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured47.1%Only GPT-4.1 measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
GPQA Diamond86.4%65.4%GLM 5.3 Flash
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%72.4%GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)91.2%66.6%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%4.2%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%66.9%GLM 5.3 Flash
ARC-AGI91.0%5.5%GLM 5.3 Flash
ARC-AGI-265.8%0.4%GLM 5.3 Flash
SimpleBenchNot measured27.0%Only GPT-4.1 measured
Chess puzzles21.0%3.0%GLM 5.3 Flash
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901384GLM 5.3 Flash
LMArena Text: expert15111364GLM 5.3 Flash
LMArena Text: hard prompts in English14881393GLM 5.3 Flash
LMArena Vision: diagrams13171215GLM 5.3 Flash
LMArena Vision: homework13181248GLM 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 index40
Math benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
AIMENot measured39.6%Only GPT-4.1 measured
MATH 500 (Vals AI)Not measured87.2%Only GPT-4.1 measured
MGSM (Vals AI)Not measured87.7%Only GPT-4.1 measured
AA Math IndexNot measured34.7Only GPT-4.1 measured
AIME 2025 (Artificial Analysis run)Not measured34.7%Only GPT-4.1 measured
OTIS Mock AIME93.9%38.3%GLM 5.3 Flash
FrontierMath, tiers 1 to 355.8%6.0%GLM 5.3 Flash
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%Not measuredOnly GLM 5.3 Flash measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math15031369GLM 5.3 Flash
LMArena Text: mathematical work14971360GLM 5.3 Flash
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
MMLU Pro86.1%80.5%GLM 5.3 Flash
LegalBench (Vals AI)83.9%83.1%GLM 5.3 Flash
CaseLaw (Vals AI)Not measured69.9%Only GPT-4.1 measured
CorpFin (Vals AI)Not measured63.0%Only GPT-4.1 measured
TaxEval (Vals AI)75.6%75.1%GLM 5.3 Flash
MortgageTax (Vals AI)Not measured65.9%Only GPT-4.1 measured
MedQA (Vals AI)Not measured91.2%Only GPT-4.1 measured
MMLU Pro (Artificial Analysis run)Not measured80.6%Only GPT-4.1 measured
SimpleQA VerifiedNot measured31.1%Only GPT-4.1 measured
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science14841382GLM 5.3 Flash
LMArena Text: medicine and healthcare14751379GLM 5.3 Flash
LMArena Text: legal and government14731399GLM 5.3 Flash
LMArena Text: business and finance14601369GLM 5.3 Flash
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
Design Arena: websites12721039GLM 5.3 Flash
Design Arena: UI components13161000GLM 5.3 Flash
Design Arena: game dev12791080GLM 5.3 Flash
Design Arena: data viz12621104GLM 5.3 Flash
Design Arena: 3D1316850GLM 5.3 Flash
Design Arena: all code categories12821026GLM 5.3 Flash
Design Arena: SVG1284Not measuredOnly GLM 5.3 Flash measured
Design Arena: ASCII art1269Not measuredOnly GLM 5.3 Flash measured
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index240
General benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
IFBenchNot measured43.0%Only GPT-4.1 measured
Long context reasoning (AA-LCR)80.0%68.3%GLM 5.3 Flash
DTBenchNot measured68.3%Only GPT-4.1 measured
LMCANot measured25.6%Only GPT-4.1 measured
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711383GLM 5.3 Flash
LMArena Text: instruction following14781367GLM 5.3 Flash
LMArena Text: creative writing14411363GLM 5.3 Flash
LMArena Vision12941210GLM 5.3 Flash
LMArena Text: English14741392GLM 5.3 Flash
LMArena Text: non-English14621370GLM 5.3 Flash
LMArena Text: Chinese15311382GLM 5.3 Flash
LMArena Text: German14621381GLM 5.3 Flash
LMArena Text: Japanese14441319GLM 5.3 Flash
LMArena Text: Korean14361338GLM 5.3 Flash
LMArena Text: French14911382GLM 5.3 Flash
LMArena Text: Spanish14751376GLM 5.3 Flash
LMArena Text: Russian14651377GLM 5.3 Flash
LMArena Text: Polish14501389GLM 5.3 Flash
LMArena Text: multi-turn14691397GLM 5.3 Flash
LMArena Text: longer queries14811385GLM 5.3 Flash
LMArena Text: writing and language14551371GLM 5.3 Flash
LMArena Text: entertainment and media14401365GLM 5.3 Flash
LMArena Vision: English12951209GLM 5.3 Flash
LMArena Vision: Chinese13631226GLM 5.3 Flash
LMArena Vision: reading text12991218GLM 5.3 Flash
LMArena Vision: humor12791196GLM 5.3 Flash
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writing12701210GLM 5.3 Flash
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and GPT-4.1
BenchmarkGLM 5.3 FlashGPT-4.1Leader
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

GLM 5.3 Flash$0.0004Fits in one request
GPT-4.1$0.0060Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
GPT-4.1$0.124Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
GPT-4.1$0.480Fits in one request

GLM 5.3 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 GLM 5.3 Flash and GPT-4.1
SpecificationZ.ai GLM 5.3 FlashOpenAI GPT-4.1
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026April 14, 2025
Context window1.05M1.05M
Input $/Mtok$0.15$2.00
Output $/Mtok$0.50$8.00
Coding index71.046.5
Independent measurements behind it22
Cost per solved task$0.02$0.37
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than GPT-4.1 for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 46.5 for GPT-4.1. Pick GPT-4.1 when the benchmark that matters is ALE-Bench, where it leads.

Which is cheaper, GLM 5.3 Flash or GPT-4.1?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and GPT-4.1 $0.37.

Which has the bigger context window, GLM 5.3 Flash or GPT-4.1?

GLM 5.3 Flash, with 1.05M tokens against 1.05M.

How many benchmarks is the GLM 5.3 Flash vs GPT-4.1 comparison based on?

60 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 2 independent benchmarks and GPT-4.1'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/glm-5-3-flash-vs-gpt-4-1" title="GLM 5.3 Flash vs GPT-4.1, 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/glm-5-3-flash-vs-gpt-4-1">LLMBenchmark.ai, GLM 5.3 Flash vs GPT-4.1</a></p>