Comparing 2 models

Gemini 4 Argon vs GLM 5.3

Benchmarks through

Verdict

Gemini 4 Argon and GLM 5.3 are not yet ranked on the same task, so compare the specifications below. GLM 5.3 costs 25.3x less per input token. Only GLM 5.3 has open weights for self-hosting.

  • Choose GLM 5.3 for you need to self-host.

Built from the published task rankings below; ranks come from each task's own weighted benchmarks, so a win on one task says nothing about another.

metric
Model 1Gemini 4 Argon
Model 2GLM 5.3
Best for
a General Assistant (#1)
Best Cheap LLM for High Volume (#2)
Provider
google
z-ai
Context
1.0MBest
1.0MBest
Input / 1M
$2
$0.079Best
Output / 1M
$10
$4.80Best
Tool use
yesBest
yesBest
Vision
yesBest
—
Reasoning
yesBest
yesBest
Open-weight
—
yesBest
Released
Sep 30, 2026
Aug 14, 2026

Measured head to head

Benchmarks both models were run on

EvaluationGemini 4 ArgonGLM 5.3Source
Design Arena Coding1335 Elo1307 Elosource · 2026-10-16
Design Arena UI1319 Elo1314 Elosource · 2026-10-16
Design Arena Website1321 Elo1298 Elosource · 2026-10-16
FrontierMath Tiers 1-3 (Epoch AI)86% ± 2.168.8% ± 2.7source · 2026-10-13
GPQA Diamond (Epoch AI)96.4% ± 1.290.9% ± 1.6source · 2026-10-13
LMArena Agent13.72source · 2026-10-14
LMArena Agent Bash Recovery-21.4-0.1source · 2026-10-08
LMArena Agent Steerability16.80.4source · 2026-10-14
LMArena Agent Task Outcome14.63.8source · 2026-10-14
LMArena Agent Tool Hallucination00.6source · 2026-10-14
LMArena Creative Writing1527 Elo1456 Elosource · 2026-10-15
LMArena Instruction Following1536 Elo1476 Elosource · 2026-10-15
LMArena Long Query1546 Elo1481 Elosource · 2026-10-15
LMArena Math1536 Elo1491 Elosource · 2026-10-15
LMArena Text1524 Elo1479 Elosource · 2026-10-15
LMArena Text Factuality1511 Elo1466 Elosource · 2026-10-15
LMArena WebDev1678 Elo1621 Elosource · 2026-10-13
OTIS Mock AIME (Epoch AI)100% ± 091.1% ± 3.5source · 2026-10-13
SimpleQA Verified (Epoch AI)76% ± 1.441% ± 1.6source · 2026-10-13

Values are as published by each evaluator, in its own units; rows from different evaluators are not on a common scale.