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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. S1Fish AudioRemove
  3. Gemini 4 CarbonGoogleRemove
  4. DeepSeek V4.1 Flash 1017DeepSeekRemove

4 is the maximum. Remove one to add another.

gemini-4-hydrogen vs s1 vs gemini-4-carbon vs deepseek-v4.1-flash-1017
AttributeGemini 4 Hydrogengemini-4-hydrogenS1s1Gemini 4 Carbongemini-4-carbonDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017
Pricing
Input$1.50 / 1M— Not priced per input token$2.00 / 1M$0.20 / 1M
Output$7.50 / 1M— Not priced per output token$10.00 / 1M$0.80 / 1M
Cache Write (5m)$1.50 / 1MNot applicable$2.00 / 1M$0.20 / 1M
Cache Write (1h)$1.50 / 1MNot applicable$2.00 / 1M$0.20 / 1M
Cache Read$1.50 / 1MNot applicable$2.00 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderGoogleFish AudioGoogleDeepSeek
Categorychatvoicechatchat
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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Gemini 4 Carbon is Google's frontier multimodal reasoning model, designed for advanced coding, agentic workflows, and complex multi-step problem solving. It supports text, image, audio, video, and file inputs, enabling integrated reasoning and analysis across diverse modalities. Optimized for long-horizon execution and demanding professional workloads, Gemini 4 Carbon supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high) to balance reasoning depth, latency, and cost. It is well suited for autonomous agents, software engineering, multimodal analysis, and large-scale workflow automation.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.