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MLlama 4 MaverickOPEN

Llama 4 Maverick (Meta): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

524KContext window · tokens
$0.19Input price · per M tokens
$0.65Output price · per M tokens
MetaProvider

Prices update automatically — checked daily against provider list prices.

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Benchmarks & performance

Independent benchmark scores for Llama 4 Maverick, measured by Artificial Analysis. Higher is better.

GPQA67.1%
MMLU-Pro80.9%
Humanity's Last Exam4.9%
Long Context Reasoning50%
LiveCodeBench39.7%
SciCode31.7%
MATH-50088.9%
AIME39%
AIME 202519.3%
IFBench43%
τ²-Bench17.8%
τ-Bench Banking3.7%
Terminal-Bench7.9%
Terminal-Bench Hard6.8%
⚡ Speed59.6 tokens/sec
⏱ Latency0.58s to first token
💰 Blended price$0.417 / 1M tokens
Benchmark data by Artificial Analysis

About this model

Llama 4 Maverick is an open-weight AI model by Meta. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Llama 4 Maverick?

Llama 4 Maverick is an AI language model from Meta. It is open-weight: you can download it and run it on your own hardware, for free.

Is Llama 4 Maverick free?

The weights are free and open — you can self-host Llama 4 Maverick and pay nothing per token. If you prefer a hosted API, list prices are $0.19 per million input tokens and $0.65 per million output tokens.

What is Llama 4 Maverick good at?

Independent benchmarks from Artificial Analysis give it GPQA 67.1%, MMLU-Pro 80.9%, Humanity's Last Exam 4.9%, Long Context Reasoning 50%, LiveCodeBench 39.7%, SciCode 31.7%, MATH-500 88.9%, AIME 39%, AIME 2025 19.3%, IFBench 43%, τ²-Bench 17.8%, τ-Bench Banking 3.7%, Terminal-Bench 7.9%, Terminal-Bench Hard 6.8%.

How fast is Llama 4 Maverick?

It generates about 59.6 tokens per second, with a median 0.58s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Llama 4 Maverick?

Yes. Llama 4 Maverick has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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