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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 HydrogenGoogleRemove
  2. DeepSeek V4.1 Flash 1017DeepSeekRemove
  3. Gemini 4 ArgonGoogleRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

gemini-4-hydrogen vs deepseek-v4.1-flash-1017 vs gemini-4-argon vs s1
AttributeGemini 4 Hydrogengemini-4-hydrogenDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017Gemini 4 Argongemini-4-argonS1s1
Pricing
Input$1.50 / 1M$0.20 / 1M$2.00 / 1M— Not priced per input token
Output$7.50 / 1M$0.80 / 1M$10.00 / 1M— Not priced per output token
Cache Write (5m)$1.50 / 1M$0.20 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$1.50 / 1M$0.20 / 1M$2.00 / 1MNot applicable
Cache Read$1.50 / 1M$0.20 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderGoogleDeepSeekGoogleFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-07-29
Description
SummaryGemini 4 Hydrogen is Google's high-efficiency multimodal model in the Gemini 4 family, optimized for high-throughput agentic workflows, coding, and multi-model routing. It delivers strong performance at lower cost and latency than Gemini 4 Carbon, supporting text, image, audio, video, and file inputs for versatile multimodal applications. Designed for scalable production workloads and long-horizon execution, Gemini 4 Hydrogen supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high, and xhigh) to balance reasoning depth, speed, and cost. It is well suited for coding assistants, autonomous agents, complex workflow automation, and large-scale AI systems.DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek’s cost-efficient Mixture-of-Experts (MoE) model, built on its innovative Causal Encoder-Decoder (CED) architecture. Featuring 552B total parameters with 8B activated for input and 16B for output, it combines efficient inference with native multimodal understanding through jointly trained text and visual representations. Optimized for coding, terminal and computer-use agents, and long-horizon workflows, the model introduces compressed KV caching that reduces cache memory usage to approximately one-quarter of the previous Flash generation. DeepSeek reports that it surpasses V4 Pro in performance, inference speed, and task completion time, making it well suited for cost-efficient autonomous agents, complex software engineering, and long-context analysis.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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.