Meta: Llama 4 Maverick 17B Instruct
Llama 4 Maverick 17B Instruct is a language model from Meta released on Jan 15, 2025. It reads text and images and writes text, with a 1.05M token context window and up to 8K tokens per reply.
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It costs $0.25 per million input tokens and $1 per million output tokens.
It supports tool calling and structured JSON output, and its weights are open, so you can host it yourself.
7 providers serve it, including Azure, Novita AI and watsonx.ai. The lowest input price is $0.14 per million tokens at Abacus.
On the Artificial Analysis Intelligence Index it scores 10, which places it at number 39 among the 43 models I track with independent scores.
- Modalities
- In / out price
- $0.25 / $1 per 1M
- Context
- 1.05M
- Max output
- 8K
- Released
- Jan 15, 2025
- Knowledge cutoff
- Aug 2024
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Llama 4 Maverick 17B Instruct pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.25 / 1M tokens | |
|---|---|---|
| Output | $1 / 1M tokens |
Llama 4 Maverick 17B Instruct providers
7 providers serve it, including Azure, Novita AI and watsonx.ai. The lowest input price is $0.14 per million tokens at Abacus. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| Azure | $0.25 | $1 | – | 1M | 16K |
| Novita AI | $0.27 | $0.85 | – | 1.05M | 8K |
| watsonx.ai | $0.371 | $1.48 | – | 131K | 8K |
| Abacus | $0.14 | $0.59 | – | 1.05M | 8K |
| IO.NET | $0.15 | $0.60 | $0.075 | 430K | 4K |
| Azure Cognitive Services | $0.25 | $1 | – | 1M | 16K |
| Llama | n/a | n/a | – | 128K | 4K |
What Llama 4 Maverick 17B Instruct costs per month
Pick a workload close to yours or type your own volumes.
Independent benchmarks
Measured by third parties, not reported by Meta. Each links to its source and shows the date I checked it.
A composite of 10 independent evaluations (agents 30%, coding 20%, scientific reasoning 20%, general 30%), run by Artificial Analysis on each model, version 4.3.2.
Artificial Analysis, checked Oct 10, 2026
Median output tokens per second measured by Artificial Analysis on the provider API, for the same model setting as its index score.
Artificial Analysis, checked Oct 10, 2026
Benchmarks Meta reports (5)
- gpqa-diamond (GPQA Diamond, 0-shot, accuracy, instruction tuned)69.8%
- mmlu-pro (MMLU Pro, 0-shot, macro_avg/acc)80.5%
- livecodebench (LiveCodeBench (10/01/2024-02/01/2025), 0-shot, pass@1)43.4%
- mmmu (MMMU, 0-shot, accuracy)73.4%
- mmmu-pro (MMMU Pro, 0-shot, average of Standard and Vision tasks)59.6%
Labs pick their own settings and harnesses, so compare these only within one lab.
Supported request parameters
What you can set when you call Llama 4 Maverick 17B Instruct through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Temperature
temperature
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Llama 4 Maverick 17B Instruct questions
How much does the Llama 4 Maverick 17B Instruct API cost?
$0.25 per million input tokens and $1 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Llama 4 Maverick 17B Instruct?
1,048,576 tokens of input, and it can write up to 8,192 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve Llama 4 Maverick 17B Instruct?
7 providers serve it, including Azure, Novita AI and watsonx.ai. The lowest input price is $0.14 per million tokens at Abacus. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does Llama 4 Maverick 17B Instruct support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is Llama 4 Maverick 17B Instruct open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Llama 4 Maverick 17B Instruct released?
Jan 15, 2025, with training data up to Aug 2024.
How good is Llama 4 Maverick 17B Instruct compared with other models?
It scores 10 on the Artificial Analysis Intelligence Index. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.