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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Mistral Small 4Mistral AIRemove
  2. Gemini 4 ArgonGoogleRemove
mistral-small-2603 vs gemini-4-argon
AttributeMistral Small 4mistral-small-2603Gemini 4 Argongemini-4-argon
Pricing
Input$0.15 / 1M$2.00 / 1M
Output$0.60 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context262.1K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMistral AIGoogle
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryMistral Small 4 is the latest release in the Mistral Small family, unifying capabilities from multiple flagship models into a single system. It integrates strong reasoning (Magistral), multimodal understanding (Pixtral), and agentic coding capabilities (Devstral), enabling a versatile, all-in-one model. Designed to handle complex analysis, software development, and visual tasks within the same workflow, Mistral Small 4 is well suited for integrated agentic applications and end-to-end problem solving across domains.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.