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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. DeepSeek V4 ProDeepSeekRemove
gemini-4-argon vs deepseek-v4-pro
AttributeGemini 4 Argongemini-4-argonDeepSeek V4 Prodeepseek-v4-pro
Pricing
Input$2.00 / 1M$0.435 / 1M
Output$10.00 / 1M$0.87 / 1M
Cache Write (5m)$2.00 / 1M$0.435 / 1M
Cache Write (1h)$2.00 / 1M$0.435 / 1M
Cache Read$2.00 / 1M$0.435 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1.0M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderGoogleDeepSeek
Categorychatchat
Charge typePay As You GoPay As You Go
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.DeepSeek V4 Pro is a large-scale Mixture-of-Experts (MoE) model with 1.6T total parameters and 49B activated per token, supporting a 1M-token context window for advanced reasoning and long-horizon workflows. It delivers strong performance across knowledge, mathematics, and software engineering tasks, making it suitable for complex, real-world applications. Built on a hybrid attention architecture for efficient long-context processing, the model supports configurable reasoning modes to balance speed and depth. It is well suited for full codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are essential.https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro