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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. DeepSeek V4 Pro 0813DeepSeekRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
deepseek-v4-pro-0813 vs gemini-4-argon vs perceptron-mk1.5
AttributeDeepSeek V4 Pro 0813deepseek-v4-pro-0813Gemini 4 Argongemini-4-argonPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.435 / 1M$2.00 / 1M$0.15 / 1M
Output$0.87 / 1M$10.00 / 1M$1.50 / 1M
Cache Write (5m)$0.435 / 1M$2.00 / 1M$0.15 / 1M
Cache Write (1h)$0.435 / 1M$2.00 / 1M$0.15 / 1M
Cache Read$0.435 / 1M$2.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderDeepSeekGooglePerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryDeepSeek 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.