Compare Gemini 4 Argon from Google and Gemini 4 Carbon 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 ArgonGemini 4 CarbonGemini 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 Carbon is Google DeepMind’s multimodal model for complex coding, long-running agent workflows, and cybersecurity defense. Building on Gemini 4 Argon, it improves software engineering, vulnerability detection and remediation, multimodal understanding, and execution across challenging, multi-step tasks.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Gemini 4 Argon: $10/M output tokens; Gemini 4 Carbon: $10/M. Use the cost calculator above to estimate your own workload.
Gemini 4 Carbon: 1567; Gemini 4 Argon: 1553 (LMArena coding leaderboard).
Gemini 4 Argon: 11.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 4 Argon accepts 1,048,576 and Gemini 4 Carbon accepts 1,048,576 input tokens. Maximum output per request is 65,536 tokens on Gemini 4 Argon and 65,536 tokens on Gemini 4 Carbon.
Gemini 4 Argon at 289.1 tok/s and Gemini 4 Carbon at 75.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 4 Argon accepts text, image, video, audio and PDF input; Gemini 4 Carbon accepts text, image, video, audio and PDF input.
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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