Compare Gemini 4 Carbon from Google and Gemini 4 Argon 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 CarbonGemini 4 ArgonGemini 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.
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.
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 Carbon: $10/M output tokens; Gemini 4 Argon: $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: 11.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Gemini 4 Carbon accepts 1,048,576 and Gemini 4 Argon accepts 1,048,576 input tokens. Maximum output per request is 65,536 tokens on Gemini 4 Carbon and 65,536 tokens on Gemini 4 Argon.
Gemini 4 Argon at 288.9 tok/s and Gemini 4 Carbon at 77.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Gemini 4 Carbon accepts text, image, video, audio and PDF input; Gemini 4 Argon 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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