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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. Gemini 4 ArgonGoogleRemove
  2. Magistral Medium 2506 (Thinking)Mistral AIRemove
gemini-4-argon vs magistral-medium-2506:thinking
AttributeGemini 4 Argongemini-4-argonMagistral Medium 2506 (Thinking)magistral-medium-2506:thinking
Pricing
Input$2.00 / 1M$2.00 / 1M
Output$10.00 / 1M$5.00 / 1M
Cache Write (5m)$2.00 / 1M$2.00 / 1M
Cache Write (1h)$2.00 / 1M$2.00 / 1M
Cache Read$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M41.0K
Max outputN/AN/A
Capabilities
VisionYesNo
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderGoogleMistral AI
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryGemini 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.—