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Gemini 4 Argon vs GLM 5.3

Gemini 4 Argon leads GLM 5.3 on coding, 81.0 to 70.6 on the Vibe Coding Index, and GLM 5.3 costs 2.3x less per output token ($4.40 vs $10.00 per million). Updated October 21, 2026; 80 benchmarks have a result for both.

Replace Gemini 4 Argon Replace GLM 5.3
Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
76
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
3
vs boards won of 80 shared, 1 tied

Gemini 4 Argon or GLM 5.3: which to pick

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 70.6 for GLM 5.3, though on 5 benchmarks against 6.

Pick GLM 5.3 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.

Model AGemini 4 ArgonGoogle81.0/1005 independent benchmarksNo cost per solved taskModel BGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved task
Shared results
80
Gemini 4 Argon only
13
GLM 5.3 only
20
Like-for-like categories
8 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
Gemini 4 Argon 81.0 from 5 benchmarks, GLM 5.3 70.6 from 6 benchmarks.
Widest category
Agentic work, 26.8 points apart on average over 12 shared benchmarks.
Widest single gap
LiveBench browser: Gemini 4 Argon 92.0% against GLM 5.3 0.0%, 92.0 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against GLM 5.3 $4.40 per million output tokens, 2.3x 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
CategoryGemini 4 ArgonBarsGLM 5.3Ties
Coding171
Intelligence20
Agentic work120
Reasoning90
Math60
Knowledge70
Web design61
General1711 tie
All shared boards7631 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index171
Coding benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
LiveBench coding89.7%82.8%Gemini 4 Argon
LMArena WebDev16781621Gemini 4 Argon
AA Coding IndexNot measured74.8Only GLM 5.3 measured
LiveCodeBench (Vals AI)Not measured80.5%Only GLM 5.3 measured
SWE-bench Verified (Vals AI)Not measured95.4%Only GLM 5.3 measured
Terminal-Bench 4 (Vals AI)57.6%38.9%Gemini 4 Argon
Vibe Code Bench (Vals AI)91.9%78.1%Gemini 4 Argon
Code migration (Vals AI)68.2%44.2%Gemini 4 Argon
ProgramBench (Vals AI)2.5%1.5%Gemini 4 Argon
IOI (Vals AI)100.0%68.4%Gemini 4 Argon
Terminal-Bench 2.1 (Vals AI)57.7%71.5%GLM 5.3
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%20.0%Gemini 4 Argon
SkillsBench (Vals AI)Not measured47.5%Only GLM 5.3 measured
CyberBench (Vals AI)77.9%72.1%Gemini 4 Argon
SciCode61.8%59.0%Gemini 4 Argon
FrontierCode47.5%40.1%Gemini 4 Argon
FrontierSWE55.0%30.2%Gemini 4 Argon
WeirdMLNot measured75.4%Only GLM 5.3 measured
ALE-Bench2100.11317.4Gemini 4 Argon
LMArena Text: coding15461497Gemini 4 Argon
LMArena Text: software and IT15561493Gemini 4 Argon
LMArena WebDev: React16921641Gemini 4 Argon
LMArena WebDev: HTML16431595Gemini 4 Argon
SciCode12.3%Not measuredOnly Gemini 4 Argon measured
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 Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
AA Intelligence Index52.644.8Gemini 4 Argon
Epoch Capabilities Index166.4156.0Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index120
Agentic work benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
AA Agentic IndexNot measured53.1Only GLM 5.3 measured
Design Arena: agents building mobile appsNot measured1194Only GLM 5.3 measured
Design Arena: HTML slidesNot measured1189Only GLM 5.3 measured
Design Arena: PowerPoint slidesNot measured1254Only GLM 5.3 measured
Design Arena: spreadsheets1142Not measuredOnly Gemini 4 Argon measured
LiveBench research83.1%73.2%Gemini 4 Argon
LiveBench browser92.0%0.0%Gemini 4 Argon
LiveBench long agentic69.9%35.9%Gemini 4 Argon
SREBench (Vals AI)44.3%9.2%Gemini 4 Argon
Finance Agent (Vals AI)65.4%55.8%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%39.7%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%49.0%Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)27.1%14.6%Gemini 4 Argon
Excel Modeling Benchmark (Vals AI)75.2%56.3%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)44.3%5.7%Gemini 4 Argon
Vals Science Index55.4%Not measuredOnly Gemini 4 Argon measured
Time Horizon Index (Vals AI)52.5%Not measuredOnly Gemini 4 Argon measured
CUA-bench (Vals AI)4.8%Not measuredOnly Gemini 4 Argon measured
Robo-bench (Vals AI)0.8%Not measuredOnly Gemini 4 Argon measured
APEX-Agents82.4%56.6%Gemini 4 Argon
Vending-Bench 2$13,718$8,164Gemini 4 Argon
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
GPQA DiamondNot measured88.1%Only GLM 5.3 measured
LiveBench reasoning95.1%85.8%Gemini 4 Argon
MysteryMechanism (Vals AI)45.5%23.0%Gemini 4 Argon
GPQA Diamond (Artificial Analysis run)Not measured91.7%Only GLM 5.3 measured
Humanity's Last Exam (Artificial Analysis run)57.1%42.3%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%90.9%Gemini 4 Argon
ARC-AGI98.5%Not measuredOnly Gemini 4 Argon measured
ARC-AGI-291.3%Not measuredOnly Gemini 4 Argon measured
Chess puzzles59.0%37.0%Gemini 4 Argon
Mystery game puzzles64.0%33.0%Gemini 4 Argon
EBR-bench64.8%Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts15461490Gemini 4 Argon
LMArena Text: expert15501514Gemini 4 Argon
LMArena Text: hard prompts in English15481496Gemini 4 Argon
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
OTIS Mock AIME100.0%91.1%Gemini 4 Argon
FrontierMath, tiers 1 to 386.0%68.8%Gemini 4 Argon
FrontierMath, tier 478.0%29.3%Gemini 4 Argon
ProofBench99.0%49.0%Gemini 4 Argon
LMArena Text: math15361495Gemini 4 Argon
LMArena Text: mathematical work15571497Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
MMLU ProNot measured86.8%Only GLM 5.3 measured
LegalBench (Vals AI)88.3%84.8%Gemini 4 Argon
TaxEval (Vals AI)Not measured72.4%Only GLM 5.3 measured
MedCode (Vals AI)58.8%42.9%Gemini 4 Argon
SimpleQA Verified76.0%41.0%Gemini 4 Argon
LMArena Text: science15481498Gemini 4 Argon
LMArena Text: medicine and healthcare15551481Gemini 4 Argon
LMArena Text: legal and government15481473Gemini 4 Argon
LMArena Text: business and finance15251459Gemini 4 Argon
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
Design Arena: websites13151295Gemini 4 Argon
Design Arena: UI components13311314Gemini 4 Argon
Design Arena: game dev13751311Gemini 4 Argon
Design Arena: data viz13361259Gemini 4 Argon
Design Arena: 3D13891332Gemini 4 Argon
Design Arena: all code categories13291304Gemini 4 Argon
Design Arena: SVGNot measured1293Only GLM 5.3 measured
Design Arena: ASCII artNot measured1213Only GLM 5.3 measured
LiveBench design73.7%77.3%GLM 5.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
General benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
Vals Index69.2%59.7%Gemini 4 Argon
LiveBench data analysis85.2%70.2%Gemini 4 Argon
Public Benefits Bench (Vals AI)69.8%68.5%Gemini 4 Argon
SAGE (Vals AI)53.6%Not measuredOnly Gemini 4 Argon measured
MedScribe (Vals AI)87.4%88.8%GLM 5.3
Long context reasoning (AA-LCR)79.7%79.7%Tie
DTBench97.6%87.7%Gemini 4 Argon
LMCA63.7%55.5%Gemini 4 Argon
Furniture assembly72.5%Not measuredOnly Gemini 4 Argon measured
LMArena Text15321474Gemini 4 Argon
LMArena Text: instruction following15341479Gemini 4 Argon
LMArena Text: creative writing15271458Gemini 4 Argon
LMArena Text: English15381482Gemini 4 Argon
LMArena Text: non-English15221459Gemini 4 Argon
LMArena Text: Chinese16111532Gemini 4 Argon
LMArena Text: GermanNot measured1488Only GLM 5.3 measured
LMArena Text: JapaneseNot measured1460Only GLM 5.3 measured
LMArena Text: KoreanNot measured1460Only GLM 5.3 measured
LMArena Text: FrenchNot measured1503Only GLM 5.3 measured
LMArena Text: Spanish15031462Gemini 4 Argon
LMArena Text: Russian15341469Gemini 4 Argon
LMArena Text: PolishNot measured1466Only GLM 5.3 measured
LMArena Text: multi-turn15561472Gemini 4 Argon
LMArena Text: longer queries15471483Gemini 4 Argon
LMArena Text: writing and language15291469Gemini 4 Argon
LMArena Text: entertainment and media15271447Gemini 4 Argon
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 4 Argon and GLM 5.3
BenchmarkGemini 4 ArgonGLM 5.3Leader
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

Gemini 4 Argon$0.0070Fits in one request
GLM 5.3$0.0036Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
GLM 5.3$0.083Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
GLM 5.3$0.324Fits in one request

GLM 5.3 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 Gemini 4 Argon and GLM 5.3
SpecificationGoogle Gemini 4 ArgonZ.ai GLM 5.3
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 13, 2026August 18, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.40
Output $/Mtok$10.00$4.40
Coding index81.070.6
Independent measurements behind it56
Cost per solved taskNot computable$0.36
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than GLM 5.3 for coding?

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 70.6 for GLM 5.3, though on 5 benchmarks against 6. Pick GLM 5.3 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.

Which is cheaper, Gemini 4 Argon or GLM 5.3?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; GLM 5.3 costs $1.40 and $4.40. Cost per solved task is known for GLM 5.3 only.

Which has the bigger context window, Gemini 4 Argon or GLM 5.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 4 Argon vs GLM 5.3 comparison based on?

80 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and GLM 5.3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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