Meta · language model
Llama 4 Maverick: pricing, context and benchmarks
Llama 4 Maverick is Meta's model released on April 5, 2025. It costs $0.19 per million input tokens and $0.65 per million output tokens, with a 524.3K-token context window. Epoch AI ranks it #114 of 125 rated models.
| Performance (ECI) | 4/40 | |
|---|---|---|
| Price | 21/30 | |
| Context | 10/15 | |
| Features | 12/15 |
What you need to know about Llama 4 Maverick
Meta, based in United States, put Llama 4 Maverick online on April 5, 2025. It accepts text and images as input and produces text. Its context window reaches 524,288 tokens, larger than 67 % of the models in the registry, and it can write up to 16,384 tokens in one go.
Released more than 1 year ago, it belongs to a generation most vendors have since superseded.
Llama 4 Maverick pricing
On OpenRouter, Llama 4 Maverick costs $0.19 per million input tokens and $0.65 per million output tokens. Counting three tokens read for every token written, its average price is $0.304 per million, more expensive than 29 % of paid models (2.5 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0007. At 1,000 tasks a day, budget $21 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.05 per million.
Performance and benchmarks
The Epoch Capabilities Index (ECI), which aggregates published results across many benchmarks, gives Llama 4 Maverick a score of 132.2 (range 127.7 to 134.3). That places it #114 of 125 rated models.
For at least equal performance, Claude Haiku 5.5, GPT-6 Luna, and DeepSeek V4 Flash 0731 cost at least 30% less.
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at August 2024.
Its weights are open and downloadable from Hugging Face: you can run it on your own machines without sending your data to a third party.
Other Meta models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Llama Guard 4 12B | Apr 30, 2025 | $0.18 | — |
| Llama 4 Scout | Apr 5, 2025 | $0.15 | 129.6 |
| Llama 3.3 70B Instruct | Dec 6, 2024 | $0.16 | — |
| Llama 3.2 1B Instruct | Sep 25, 2024 | $0.07 | — |
| Llama 3.2 3B Instruct | Sep 25, 2024 | $0.12 | — |
| Llama 3.1 70B Instruct | Jul 23, 2024 | $0.4 | — |
| Llama 3.1 8B Instruct | Jul 23, 2024 | $0.06 | — |
Verdict
Computed score: 47/100, from public data (performance, price, context, features).
Strengths
- Low price: cheaper than 71 % of paid models.
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- Modest performance: behind 90 % of rated models.
- Older generation, often replaced by a newer model from the same vendor.
Alternatives
- GPT-4.1 Nano$0.18
- Qwen3.5-9B$0.19
- GPT-5 Nano$0.14
- DeepSeek V3$0.45
- GPT-4.1 Mini$0.7
- Qwen3.5-35B-A3B$0.36
Comparisons and tools
Learn more
Frequently asked questions
How much does Llama 4 Maverick cost?
$0.19 per million input tokens and $0.65 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0007.
How big is Llama 4 Maverick's context window?
524,288 tokens, roughly 393,000 words, with a maximum of 16,384 output tokens.
Can Llama 4 Maverick run locally?
Yes, its weights are published.
Is Llama 4 Maverick suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
How good is Llama 4 Maverick?
Epoch AI ranks it #114 of 125 rated models (ECI 132.2).
What are the alternatives to Llama 4 Maverick?
The closest models on price and performance are GPT-4.1 Nano, Qwen3.5-9B, and GPT-5 Nano.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score