Comparing 2 models

Gemini 4 Argon vs Kimi K3

Benchmarks through

Verdict

Gemini 4 Argon places higher on 1 of the 1 tasks where both are ranked. Kimi K3 costs 6.6x less per input token. Only Kimi K3 has open weights for self-hosting.

  • Choose Gemini 4 Argon for Massive Context (#2).
  • Choose Kimi K3 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 2Kimi K3
Best for
a General Assistant (#1)
Best Local LLM for Coding (#2)
Provider
google
moonshotai
Context
1.0MBest
1.0MBest
Input / 1M
$2
$0.30Best
Output / 1M
$10Best
$11.94
Tool use
yesBest
yesBest
Vision
yesBest
yesBest
Reasoning
yesBest
yesBest
Open-weight
—
yesBest
Released
Sep 30, 2026
Jul 16, 2026

Measured head to head

Benchmarks both models were run on

EvaluationGemini 4 ArgonKimi K3Source
Design Arena Coding1335 Elo1363 Elosource · 2026-10-16
Design Arena UI1319 Elo1346 Elosource · 2026-10-16
Design Arena Website1321 Elo1337 Elosource · 2026-10-16
FrontierMath Tiers 1-3 (Epoch AI)86% ± 2.172.2% ± 2.7source · 2026-10-13
GPQA Diamond (Epoch AI)96.4% ± 1.293.1% ± 1.5source · 2026-10-13
LMArena Agent13.71.9source · 2026-10-14
LMArena Agent Bash Recovery-21.44.4source · 2026-10-08
LMArena Agent Steerability16.80.5source · 2026-10-14
LMArena Agent Task Outcome14.66.3source · 2026-10-14
LMArena Agent Tool Hallucination00.6source · 2026-10-14
LMArena Creative Writing1527 Elo1456 Elosource · 2026-10-15
LMArena Instruction Following1536 Elo1483 Elosource · 2026-10-15
LMArena Long Query1546 Elo1493 Elosource · 2026-10-15
LMArena Math1536 Elo1494 Elosource · 2026-10-15
LMArena Text1524 Elo1487 Elosource · 2026-10-15
LMArena Text Factuality1511 Elo1471 Elosource · 2026-10-15
LMArena WebDev1678 Elo1655 Elosource · 2026-10-13
OTIS Mock AIME (Epoch AI)100% ± 097.2% ± 1.1source · 2026-10-13
SimpleQA Verified (Epoch AI)76% ± 1.450.6% ± 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.