Comparing 2 models

Gemini 4 Argon vs GPT-6.1 Sol

Benchmarks through

Verdict

Gemini 4 Argon places higher on 10 of the 12 tasks where both are ranked. GPT-6.1 Sol accepts 1.0x more context.

  • Choose Gemini 4 Argon for Logic & Problem Solving (#1), Grounded RAG (#1), Document Summarization (#1).
  • Choose GPT-6.1 Sol for Computer & Browser Use (#2), Frontend & UI (#5).

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 2GPT-6.1 Sol
Best for
a General Assistant (#1)
Image Understanding (#1)
Provider
google
openai
Context
1.0M
1.1MBest
Input / 1M
$2Best
$2Best
Output / 1M
$10Best
$10Best
Tool use
yesBest
yesBest
Vision
yesBest
yesBest
Reasoning
yesBest
yesBest
Open-weight
—
—
Released
Sep 30, 2026
Sep 29, 2026

Measured head to head

Benchmarks both models were run on

EvaluationGemini 4 ArgonGPT-6.1 SolSource
Design Arena Coding1335 Elo1346 Elosource · 2026-10-16
Design Arena UI1319 Elo1331 Elosource · 2026-10-16
Design Arena Website1321 Elo1323 Elosource · 2026-10-16
FACTS Grounding78.6%82.4%source · 2026-10-12
FrontierMath Tiers 1-3 (Epoch AI)86% ± 2.193.7% ± 1.4source · 2026-10-13
GPQA Diamond (Epoch AI)96.4% ± 1.295.4% ± 1.4source · 2026-10-13
LMArena Agent13.714.8source · 2026-10-14
LMArena Agent Bash Recovery-21.44.5source · 2026-10-08
LMArena Agent Steerability16.814.7source · 2026-10-14
LMArena Agent Task Outcome14.615.7source · 2026-10-14
LMArena Agent Tool Hallucination00.6source · 2026-10-14
LMArena Creative Writing1527 Elo1430 Elosource · 2026-10-15
LMArena Instruction Following1536 Elo1469 Elosource · 2026-10-15
LMArena Long Query1546 Elo1464 Elosource · 2026-10-15
LMArena Math1536 Elo1470 Elosource · 2026-10-15
LMArena Text1524 Elo1484 Elosource · 2026-10-15
LMArena Text Factuality1511 Elo1465 Elosource · 2026-10-15
LMArena WebDev1678 Elo1760 Elosource · 2026-10-13
OTIS Mock AIME (Epoch AI)100% ± 0100% ± 0source · 2026-10-13
SimpleQA Verified (Epoch AI)76% ± 1.473.9% ± 1.4source · 2026-10-13

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