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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. Claude Sonnet 5.5AnthropicRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Gemini 3.8 FlashGoogleRemove
claude-sonnet-5.5 vs gemini-4-argon vs gemini-3.8-flash
AttributeClaude Sonnet 5.5claude-sonnet-5.5Gemini 4 Argongemini-4-argonGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$2.00 / 1M$2.00 / 1M$0.75 / 1M
Output$10.00 / 1M$10.00 / 1M$3.75 / 1M
Cache Write (5m)$2.50 / 1M$2.00 / 1M$0.75 / 1M
Cache Write (1h)$4.00 / 1M$2.00 / 1M$0.75 / 1M
Cache Read$0.10 / 1M$2.00 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicGoogleGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryClaude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.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.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.