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Meta: Llama 4 Maverick

Meta: Llama 4 Maverick is best when you want a lot of usable capability for very little money. It handles vision, tools, structured output, and a huge 1M-token context, while staying firmly in the cheap tier: 100 short chats cost about $0.03, a long PDF pass costs about $0.01, and even a 50-step agent workflow is only around $0.02. The non-obvious win is that its low price changes how freely you can experiment, not just how much you spend.

Best for

  • Reading large PDFs or knowledge bases and then asking follow-up questions across the full context.
  • Running agent-style workflows that call tools and return structured output without making every step feel expensive.
  • Handling high-volume coding or support workloads where cost discipline matters as much as capability.

Not ideal for

  • Cases where you only need a premium chat experience and price barely matters.
  • Teams expecting a bundled consumer subscription, since none are listed in our catalog.

What it costs in real life

Computed from OpenRouter API pricing ($0.15 input / $0.60 output per 1M tokens)

100 short chats(50K in / 30K out)
$0.03Cheap
1 long PDF + questions(80K in / 5K out)
$0.01Cheap
1,000 coding completions(200K in / 400K out)
$0.27Cheap
Agent workflow (50 steps)(50K in / 25K out)
$0.02Cheap

Frequently Asked Questions

Is Meta: Llama 4 Maverick worth it for everyday API use?

Yes, if you care about cost per task and need more than basic text chat. The pricing is low enough that routine work like short chats, document Q&A, coding completions, and agent steps stays inexpensive instead of forcing you to ration usage.

How much does Meta: Llama 4 Maverick cost for real work?

The raw API price is $0.15 per 1M input tokens and $0.60 per 1M output tokens. In practical terms, 100 short chats are about $0.03, one long PDF plus questions is about $0.01, and a 50-step agent workflow is around $0.02.

Can Meta: Llama 4 Maverick handle long documents and tools well?

Yes. This family supports a 1,048,576-token context, tool use, vision, and structured output, so it fits workflows where you need one model to read a lot, call functions, and return machine-friendly answers.

Capabilities

Vision
Tool calling
Structured output
Reasoning
Open weights
Long context

Cheapest access path

The cheapest known way to use it is direct API usage, since no included subscriptions were found in our catalog. That makes the math easy to like: roughly $0.27 for 1,000 coding completions, and StackTrim AI can help you check whether another tool you already pay for covers the same jobs.

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