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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. DeepSeek V4 Pro 0813DeepSeekRemove
  3. Gemini 4 ArgonGoogleRemove
claude-sonnet-5.5 vs deepseek-v4-pro-0813 vs gemini-4-argon
AttributeClaude Sonnet 5.5claude-sonnet-5.5DeepSeek V4 Pro 0813deepseek-v4-pro-0813Gemini 4 Argongemini-4-argon
Pricing
Input$2.00 / 1M$0.435 / 1M$2.00 / 1M
Output$10.00 / 1M$0.87 / 1M$10.00 / 1M
Cache Write (5m)$2.50 / 1M$0.435 / 1M$2.00 / 1M
Cache Write (1h)$4.00 / 1M$0.435 / 1M$2.00 / 1M
Cache Read$0.10 / 1M$0.435 / 1M$2.00 / 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
ProviderAnthropicDeepSeekGoogle
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.DeepSeek V4 Pro 0813 is DeepSeek's large-scale Mixture-of-Experts (MoE) model and the general availability (GA) release of DeepSeek V4 Pro. It is designed for high-capability workloads requiring advanced reasoning, coding, and agentic task execution. As the production-ready V4 Pro release, it is well suited for complex software engineering, long-horizon agent workflows, and demanding reasoning tasks where reliability and model capability are critical.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.