Llama 4 Maverick with Jev
Llama 4 Maverick is a model from Meta, released 2025-04-05. It costs $0.188 per million input tokens and $0.652 per million output tokens, reads up to 1.05M tokens of context, and writes up to 16,384 tokens in one reply. Through llm11, set model to meta-llama/llama-4-maverick.
- Input price
- $0.188 / 1M
- Output price
- $0.652 / 1M
- Context window
- 1.05M tokens
- Max output
- 16K tokens
- Released
- 2025-04-05
- Accepts
- text, image
Read from the live catalogue and refreshed daily. At blended list price, 71% of the 332 priced models we can call cost more.
Using Llama 4 Maverick with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Llama 4 Maverick does the answering when Jev sends it work, or when you name it yourself. Llama 4 Maverick falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
Jev is new, so we have not published results for Llama 4 Maverick with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00022 | $0.224 |
| Question over retrieved documents | 4,000 / 500 | $0.00108 | $1.08 |
| Long document summary | 30,000 / 1,000 | $0.00628 | $6.28 |
Cheaper models to try
The catalogue has no benchmark score for Llama 4 Maverick, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Mistral Saba | $0.200 | $0.600 | 33K | |
| Qwen Qwen3 Coder Next | $0.120 | $0.800 | 262K | |
| Mistral Mistral Small 4 | $0.150 | $0.600 | 262K | |
| Qwen Qwen3 VL 30B A3B Instruct | $0.150 | $0.600 | 262K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="meta-llama/llama-4-maverick",
messages=[{"role": "user", "content": "Hello"}],
)More from Meta
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Llama Guard 4 12B | $0.180 | $0.180 | 164K | |
| Llama 4 Scout | $0.100 | $0.300 | 1.31M | |
| Llama 3.3 70B Instruct | $0.100 | $0.320 | 131K | |
| Llama 3.2 1B Instruct | $0.027 | $0.201 | 60K | |
| Llama 3.2 3B Instruct | $0.050 | $0.330 | 131K | |
| Llama 3.1 70B Instruct | $0.400 | $0.400 | 131K |
Questions
- What is Llama 4 Maverick with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Llama 4 Maverick does the answering when Jev sends it work, or when you name it yourself. Llama 4 Maverick falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Llama 4 Maverick a System One model?
- No. Llama 4 Maverick answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Llama 4 Maverick cost?
- $0.188 per million input tokens and $0.652 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00108, so a thousand of them is about $1.08. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Llama 4 Maverick context window?
- 1,048,576 tokens, with up to 16,384 tokens in a single reply.
- Does Llama 4 Maverick support tool calling and structured output?
- The catalogue lists tool calling and structured output, but it does not list reasoning controls.
- Can I use Llama 4 Maverick through llm11?
- Yes. Set model to meta-llama/llama-4-maverick on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Llama 4 Maverick?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Llama 4 Maverick falls in the llm11-fast band, and the labs and limits it meets make it eligible for that pack. Packs keep a spread of eight models per band, and it is not one of the eight today, so it is only picked when you name it in a custom pool.
- What is a cheaper alternative to Llama 4 Maverick?
- Nearest in price and below it: Mistral Saba at $0.200 in and $0.600 out, Qwen Qwen3 Coder Next at $0.120 in and $0.800 out and Mistral Mistral Small 4 at $0.150 in and $0.600 out. The catalogue has no benchmark score for Llama 4 Maverick, so this is a price ordering. It does not claim these answer as well.