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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. GLM 5Z.AIRemove
  3. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
gemini-4-argon vs glm-5 vs gemini-3.1-flash-lite-image-vertex
AttributeGemini 4 Argongemini-4-argonGLM 5glm-5Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input$2.00 / 1M$0.60 / 1M—
Output$10.00 / 1M$2.20 / 1M—
Cache Write (5m)$2.00 / 1M$0.60 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.60 / 1MNot applicable
Cache Read$2.00 / 1M$0.60 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.0336 / request
Billing——Pay Per Request
Context
Max context1M202.8KN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleZ.AIGoogle
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
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.GLM-5 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. 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 1K. A request for a larger size returns a 1K 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.