Llama 4 Maverick is a high-capacity Mixture-of-Experts (MoE) model from Meta, featuring 400B total parameters and 128 experts, while activating an efficient 17B parameters per inference. Engineered for peak performance, it excels at advanced multimodal tasks. Maverick natively supports text and image input, producing multilingual text and code. With a 1-million-token context window and instruction tuning, it is optimized for complex image reasoning and general-purpose assistant-like interactions. Released under the Llama 4 Community License, Maverick is ideal for research and commercial applications demanding state-of-the-art multimodal understanding and high throughput.
llama-4-maverick vs llama2-70b-40960
Output tokens cost $0.20 per million on llama-4-maverick and $0.50 per million on llama2-70b-40960. Input tokens cost $0.20 per million on llama-4-maverick and $0.50 per million on llama2-70b-40960. Cached input tokens are billed at $0.20 per million on llama-4-maverick and $0.50 per million on llama2-70b-40960.
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.
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FAQ
Which is cheaper: llama-4-maverick, llama2-70b-40960?
llama-4-maverick: $0.20/M output tokens; llama2-70b-40960: $0.50/M. Use the cost calculator above to estimate your own workload.
Can I call llama-4-maverick and llama2-70b-40960 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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