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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 AI Studio)GoogleEnterprise & partner accessRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Claude Opus 5.5AnthropicRemove
gemini-3-pro-image-aistudio vs gemini-4-argon vs claude-opus-5.5
AttributeGemini 3 Pro Image (Google AI Studio)gemini-3-pro-image-aistudioGemini 4 Argongemini-4-argonClaude Opus 5.5claude-opus-5.5
Pricing
Request$0.134 / request——
BillingPay Per Request——
Cache Write (5m)Not applicable$2.00 / 1M$5.00 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$8.00 / 1M
Cache ReadNot applicable$2.00 / 1M$0.20 / 1M
Input—$2.00 / 1M$4.00 / 1M
Output—$10.00 / 1M$20.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max contextN/A1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderGoogleGoogleAnthropic
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released———
Description
SummaryGemini 3 Pro Image served from Google AI Studio. 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.Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks.