Skip to content

Compare models

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. MiniMax M1 (Extended)MiniMaxRemove
  3. Muse Spark OpenMetaRemove
gemini-4-argon vs minimax-m1:extended vs muse-spark-open
AttributeGemini 4 Argongemini-4-argonMiniMax M1 (Extended)minimax-m1:extendedMuse Spark Openmuse-spark-open
Pricing
Input$2.00 / 1M$0.55 / 1M$1.25 / 1M
Output$10.00 / 1M$2.20 / 1M$4.25 / 1M
Cache Write (5m)$2.00 / 1M$0.55 / 1M$1.25 / 1M
Cache Write (1h)$2.00 / 1M$0.55 / 1M$1.25 / 1M
Cache Read$2.00 / 1M$0.55 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M128K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleMiniMaxMeta
Categorychatchatchat
Charge typePay As You GoPay 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.—Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.