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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. Ministral 3 14B 2512Mistral AIRemove
  2. Gemini 4 ArgonGoogleRemove
ministral-14b-2512 vs gemini-4-argon
AttributeMinistral 3 14B 2512ministral-14b-2512Gemini 4 Argongemini-4-argon
Pricing
Input$0.20 / 1M$2.00 / 1M
Output$0.20 / 1M$10.00 / 1M
Cache Write (5m)$0.20 / 1M$2.00 / 1M
Cache Write (1h)$0.20 / 1M$2.00 / 1M
Cache Read$0.20 / 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
SummaryMinistral 3 14B is the largest model in the Ministral 3 lineup, delivering near–frontier performance similar to the larger Mistral Small 3.2 24B. It's a powerful yet efficient language model that also includes vision capabilities.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.