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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 Pro 0813DeepSeekRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-4-argon vs deepseek-v4-pro-0813 vs gemini-3.5-transcribe
AttributeGemini 4 Argongemini-4-argonDeepSeek V4 Pro 0813deepseek-v4-pro-0813Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M$0.435 / 1M— Not priced per input token
Output$10.00 / 1M$0.87 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$0.435 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.435 / 1MNot applicable
Cache Read$2.00 / 1M$0.435 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleDeepSeekGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
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 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.