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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. Claude Fable 5AnthropicRemove
  3. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
gemini-4-argon vs claude-fable-5 vs gemini-3.1-flash-image-vertex
AttributeGemini 4 Argongemini-4-argonClaude Fable 5claude-fable-5Gemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex
Pricing
Input$2.00 / 1M$10.00 / 1M—
Output$10.00 / 1M$50.00 / 1M—
Cache Write (5m)$2.00 / 1M$12.50 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$20.00 / 1MNot applicable
Cache Read$2.00 / 1M$1.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.067 / request
Billing——Pay Per Request
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleAnthropicGoogle
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.Claude Fable 5 is Anthropic's Mythos-class model, designed for autonomous knowledge work, coding, and long-running agentic workflows. It supports text, image, and file inputs with text output, includes reasoning capabilities, and features a 1M-token context window for handling complex, high-context tasks. Optimized for asynchronous and long-horizon execution, Claude Fable 5 excels at end-to-end tasks that would typically require hours, days, or weeks of human effort. It combines strong reasoning, autonomous verification and self-correction loops, and robust safeguards, making it well suited for complex research, software engineering, and large-scale knowledge work.Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. 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.