Gemini 4 Argon vs Mistral Large 4

Google's Gemini 4 Argon and Mistral AI's Mistral Large 4 compared on specs, pricing, and capabilities — as configured in AI Crucible ensembles.

SpecificationGemini 4 ArgonMistral Large 4
ProviderGoogleMistral AI
API model IDgemini-4-argonmistral-large-4-0
DescriptionGoogle's flagship Gemini 4 reasoning model for complex software engineering, deep math and science, and autonomous agents, with 1M context.Mistral AI's open-weight multimodal flagship (52B active / 1.05T total parameters) with reasoning and 1M context.
Context window1.048576M tokens1.048576M tokens
Max output tokens32,76832,768
Input cost ($/1M tokens)$2.40$0.84
Output cost ($/1M tokens)$12.00$2.52
Cache read cost ($/1M tokens)$0.12$0.08
Latencyhighmedium
Reasoning modelYesYes
Vision (image input)YesYes
Tool useYesYes

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