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Gemini 4 Argon vs GLM 5.3 Flash

Updated October 21, 2026. 75 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 4 Argon Replace GLM 5.3 Flash
Gemini 4 ArgonGoogle
Coding
80.5
Overall
52.6
Output $/M
$10.00
71
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
4
vs boards won of 75 shared

Decision reading

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 71.0 for GLM 5.3 Flash.

Pick GLM 5.3 Flash when output tokens cost 20.0x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.

Model AGemini 4 ArgonGoogle80.5/1002 independent benchmarksNo cost per solved taskModel BGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved task
Shared results
75
Gemini 4 Argon only
17
GLM 5.3 Flash only
27
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
Gemini 4 Argon 80.5 from 2 benchmarks, GLM 5.3 Flash 71.0 from 2 benchmarks.
Widest category
Math, 31.8 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: Gemini 4 Argon 99.0% against GLM 5.3 Flash 21.0%, 78.0 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against GLM 5.3 Flash $0.50 per million output tokens, 20.0x 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 5.3 FlashTies
Coding171
Intelligence20
Agentic work110
Reasoning100
Math60
Knowledge50
Web design61
General142
All shared boards714
CodingLike-for-likeFour of these boards feed the Vibe Coding Index171
Coding benchmarks for Gemini 4 Argon and GLM 5.3 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
LiveBench coding89.7%80.6%Gemini 4 Argon
LMArena WebDev16781607Gemini 4 Argon
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)57.6%37.4%Gemini 4 Argon
Vibe Code Bench (Vals AI)91.9%30.8%Gemini 4 Argon
Code migration (Vals AI)68.2%20.5%Gemini 4 Argon
ProgramBench (Vals AI)2.5%0.0%Gemini 4 Argon
IOI (Vals AI)100.0%52.5%Gemini 4 Argon
Terminal-Bench 2.1 (Vals AI)57.7%62.9%GLM 5.3 Flash
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%16.0%Gemini 4 Argon
SkillsBench (Vals AI)Not measured40.2%Only GLM 5.3 Flash measured
CyberBench (Vals AI)77.9%67.9%Gemini 4 Argon
SciCode61.8%51.6%Gemini 4 Argon
FrontierCode47.5%31.8%Gemini 4 Argon
FrontierSWE55.0%18.1%Gemini 4 Argon
ALE-Bench2100.1303.6Gemini 4 Argon
LMArena Text: coding15461507Gemini 4 Argon
LMArena Text: software and IT15561500Gemini 4 Argon
LMArena WebDev: React16921624Gemini 4 Argon
LMArena WebDev: HTML16431577Gemini 4 Argon
LMArena WebDev: from an imageNot measured1578Only GLM 5.3 Flash 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 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
AA Intelligence Index52.641.8Gemini 4 Argon
Epoch Capabilities Index166.4153.1Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index110
Agentic work benchmarks for Gemini 4 Argon and GLM 5.3 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
AA Agentic IndexNot measured50.9Only GLM 5.3 Flash measured
Design Arena: spreadsheets1151Not measuredOnly Gemini 4 Argon measured
LiveBench research83.1%70.1%Gemini 4 Argon
LiveBench browser92.0%84.0%Gemini 4 Argon
LiveBench long agentic69.9%28.4%Gemini 4 Argon
SREBench (Vals AI)44.3%0.8%Gemini 4 Argon
Finance Agent (Vals AI)65.4%57.9%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%31.6%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%45.2%Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)27.1%10.4%Gemini 4 Argon
Excel Modeling Benchmark (Vals AI)75.2%55.9%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)44.3%2.9%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%52.8%Gemini 4 Argon
Vending-Bench 2$13,718Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Gemini 4 Argon and GLM 5.3 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
GPQA DiamondNot measured86.4%Only GLM 5.3 Flash measured
LiveBench reasoning95.1%77.6%Gemini 4 Argon
MysteryMechanism (Vals AI)45.5%Not measuredOnly Gemini 4 Argon 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)57.1%39.9%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%90.2%Gemini 4 Argon
ARC-AGI98.5%91.0%Gemini 4 Argon
ARC-AGI-291.3%65.8%Gemini 4 Argon
Chess puzzles59.0%21.0%Gemini 4 Argon
Mystery game puzzles64.0%8.0%Gemini 4 Argon
EBR-bench64.8%Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts15461490Gemini 4 Argon
LMArena Text: expert15501511Gemini 4 Argon
LMArena Text: hard prompts in English15481488Gemini 4 Argon
LMArena Vision: diagramsNot measured1317Only GLM 5.3 Flash measured
LMArena Vision: homeworkNot measured1318Only GLM 5.3 Flash measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 4 Argon and GLM 5.3 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
OTIS Mock AIME100.0%93.9%Gemini 4 Argon
FrontierMath, tiers 1 to 386.0%55.8%Gemini 4 Argon
FrontierMath, tier 478.0%17.1%Gemini 4 Argon
ProofBench99.0%21.0%Gemini 4 Argon
LMArena Text: math15361503Gemini 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 index50
Knowledge benchmarks for Gemini 4 Argon and GLM 5.3 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
MMLU ProNot measured86.1%Only GLM 5.3 Flash measured
LegalBench (Vals AI)88.3%83.9%Gemini 4 Argon
TaxEval (Vals AI)Not measured75.6%Only GLM 5.3 Flash measured
MedCode (Vals AI)58.8%Not measuredOnly Gemini 4 Argon measured
SimpleQA Verified76.0%Not measuredOnly Gemini 4 Argon measured
LMArena Text: science15481484Gemini 4 Argon
LMArena Text: medicine and healthcare15551475Gemini 4 Argon
LMArena Text: legal and government15481473Gemini 4 Argon
LMArena Text: business and finance15251460Gemini 4 Argon
Neither model has a result on the other 8 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 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
Design Arena: websites13151272Gemini 4 Argon
Design Arena: UI components13331316Gemini 4 Argon
Design Arena: game dev13771279Gemini 4 Argon
Design Arena: data viz13341262Gemini 4 Argon
Design Arena: 3D13891316Gemini 4 Argon
Design Arena: all code categories13281282Gemini 4 Argon
Design Arena: SVGNot measured1284Only GLM 5.3 Flash measured
Design Arena: ASCII artNot measured1269Only GLM 5.3 Flash measured
LiveBench design73.7%77.2%GLM 5.3 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index142
General benchmarks for Gemini 4 Argon and GLM 5.3 Flash
BenchmarkGemini 4 ArgonGLM 5.3 FlashLeader
Vals Index69.2%50.9%Gemini 4 Argon
LiveBench data analysis85.2%76.4%Gemini 4 Argon
Public Benefits Bench (Vals AI)69.8%Not measuredOnly Gemini 4 Argon measured
SAGE (Vals AI)53.6%Not measuredOnly Gemini 4 Argon measured
MedScribe (Vals AI)87.4%88.9%GLM 5.3 Flash
Long context reasoning (AA-LCR)79.7%80.0%GLM 5.3 Flash
DTBench97.6%Not measuredOnly Gemini 4 Argon measured
LMCA63.7%Not measuredOnly Gemini 4 Argon measured
Surface Evolver BenchNot measured52.5%Only GLM 5.3 Flash measured
Furniture assembly72.5%Not measuredOnly Gemini 4 Argon measured
LMArena Text15321471Gemini 4 Argon
LMArena Text: instruction following15341478Gemini 4 Argon
LMArena Text: creative writing15271441Gemini 4 Argon
LMArena VisionNot measured1294Only GLM 5.3 Flash measured
LMArena Text: English15381474Gemini 4 Argon
LMArena Text: non-English15221462Gemini 4 Argon
LMArena Text: Chinese16111531Gemini 4 Argon
LMArena Text: GermanNot measured1462Only GLM 5.3 Flash measured
LMArena Text: JapaneseNot measured1444Only GLM 5.3 Flash measured
LMArena Text: KoreanNot measured1436Only GLM 5.3 Flash measured
LMArena Text: FrenchNot measured1491Only GLM 5.3 Flash measured
LMArena Text: Spanish15031475Gemini 4 Argon
LMArena Text: Russian15341465Gemini 4 Argon
LMArena Text: PolishNot measured1450Only GLM 5.3 Flash measured
LMArena Text: multi-turn15561469Gemini 4 Argon
LMArena Text: longer queries15471481Gemini 4 Argon
LMArena Text: writing and language15291455Gemini 4 Argon
LMArena Text: entertainment and media15271440Gemini 4 Argon
LMArena Vision: EnglishNot measured1295Only GLM 5.3 Flash measured
LMArena Vision: ChineseNot measured1363Only GLM 5.3 Flash measured
LMArena Vision: reading textNot measured1299Only GLM 5.3 Flash measured
LMArena Vision: humorNot measured1279Only GLM 5.3 Flash measured
LMArena Vision: creative writingNot measured1270Only GLM 5.3 Flash measured
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 Gemini 4 Argon and GLM 5.3 Flash
BenchmarkGemini 4 ArgonGLM 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

Gemini 4 Argon$0.0070Fits in one request
GLM 5.3 Flash$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
GLM 5.3 Flash$0.035Fits 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 Gemini 4 Argon and GLM 5.3 Flash
SpecificationGoogle Gemini 4 ArgonZ.ai GLM 5.3 Flash
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 13, 2026August 26, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$0.15
Output $/Mtok$10.00$0.50
Coding index80.571.0
Independent measurements behind it22
Cost per solved taskNot computable$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than GLM 5.3 Flash for coding?

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 71.0 for GLM 5.3 Flash. Pick GLM 5.3 Flash when output tokens cost 20.0x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or LiveBench design, where it leads.

Which is cheaper, Gemini 4 Argon or GLM 5.3 Flash?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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, Gemini 4 Argon or GLM 5.3 Flash?

Neither: both take 1.05M tokens.

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

75 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon'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.

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