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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. Kimi K3.1 ProMoonShot AIRemove
  2. mai-ds-r1:freeNot in the catalogueRemove
  3. Gemini 4 ArgonGoogleRemove
kimi-k3.1-pro vs mai-ds-r1:free vs gemini-4-argon
AttributeKimi K3.1 Prokimi-k3.1-promai-ds-r1:freeNot in the catalogueGemini 4 Argongemini-4-argon
Pricing
Input$2.00 / 1M—$2.00 / 1M
Output$10.00 / 1M—$10.00 / 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 context1M—1M
Max outputN/A—N/A
Capabilities
VisionYes—Yes
Function CallingYes—Yes
JSON ModeYes—Yes
StreamingYes—Yes
Catalogue
ProviderMoonShot AI—Google
Categorychat—chat
Charge typePay As You Go—Pay As You Go
Released———
Description
SummaryKimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.—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.