Compare Gemini 4 Argon from Google and GPT 6 Astra from OpenAI 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 Argon
GPT 6 AstraGemini 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.
GPT-6 Astra is OpenAI's newest and most intelligent model, with industry-leading performance in computer operations, web browsing, software engineering, scientific research, and professional work. It excels at executing multi-step workflows across code, browsers, and various professional software. Astra can achieve better results with significantly fewer output tokens, making its estimated API cost per task lower.
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.
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; GPT 6 Astra: $50/M. Use the cost calculator above to estimate your own workload.
Gemini 4 Argon: 6.9s 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 GPT 6 Astra accepts 1,050,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 4 Argon and 128,000 tokens on GPT 6 Astra.
Gemini 4 Argon at 44.0 tok/s and GPT 6 Astra at 30.6 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; GPT 6 Astra accepts text and image input and supports tool calling, thinking and structured outputs.
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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