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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 3 Pro Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Kimi K3.1 ProMoonShot AIRemove
gemini-3-pro-image-vertex vs gemini-4-argon vs kimi-k3.1-pro
AttributeGemini 3 Pro Image (Google Vertex AI)gemini-3-pro-image-vertexGemini 4 Argongemini-4-argonKimi K3.1 Prokimi-k3.1-pro
Pricing
Request$0.134 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$2.00 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$2.00 / 1M
Cache ReadNot applicable$2.00 / 1M$2.00 / 1M
Input—$2.00 / 1M$2.00 / 1M
Output—$10.00 / 1M$10.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleGoogleMoonShot AI
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released———
Description
SummaryGemini 3 Pro Image served from Google Vertex AI. Billed per image at US$0.134. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.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.Kimi 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.