Gemini 4 Argon is Google DeepMind’s multimodal reasoning model for complex software engineering, financial research, legal drafting, and cybersecurity defense. It supports sustained reasoning across long, multi-step workflows, combining coding capabilities with chart and long-video understanding. It can also autonomously discover, validate, and patch software vulnerabilities.
Gemini 4 Argon vs Gemini 4 Hydrogen
Compare Gemini 4 Argon from Google and Gemini 4 Hydrogen from Google on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemini 4 Hydrogen is a Google Gemini 4 model focused on speed and efficiency. Potential use cases include everyday conversations, text processing, and interactive applications where fast responses matter.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Gemini 4 Argon, Gemini 4 Hydrogen?
Gemini 4 Hydrogen: $7.5/M output tokens; Gemini 4 Argon: $10/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Gemini 4 Hydrogen: 5.3s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
Gemini 4 Argon at 339.4 tok/s and Gemini 4 Hydrogen at 79.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Gemini 4 Argon accepts text, image, video, audio and PDF input; Gemini 4 Hydrogen accepts text input.
Can I call Gemini 4 Argon and Gemini 4 Hydrogen with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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