Llama 4 Scout with Jev
Llama 4 Scout is a model from Meta, released 2025-04-05. It costs $0.100 per million input tokens and $0.300 per million output tokens, reads up to 1.31M tokens of context, and writes up to 16,384 tokens in one reply. Through llm11, set model to meta-llama/llama-4-scout.
- Input price
- $0.100 / 1M
- Output price
- $0.300 / 1M
- Context window
- 1.31M tokens
- Max output
- 16K tokens
- Released
- 2025-04-05
- Accepts
- text, image
Read from the live catalogue and refreshed daily. At blended list price, 83% of the 332 priced models we can call cost more.
Using Llama 4 Scout 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 Scout does the answering when Jev sends it work, or when you name it yourself. Llama 4 Scout 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 Scout 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 | $0.00011 | $0.110 |
| Question over retrieved documents | 4,000 / 500 | $0.00055 | $0.550 |
| Long document summary | 30,000 / 1,000 | $0.00330 | $3.30 |
Cheaper models to try
The catalogue has no benchmark score for Llama 4 Scout, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Google Gemma 4 26B A4B | $0.090 | $0.300 | 262K | |
| OpenAI GPT-5 Nano | $0.050 | $0.400 | 400K | |
| Mistral Mistral Small 3.2 24B | $0.094 | $0.250 | 256K | |
| OpenAI gpt-oss-safeguard-20b | $0.075 | $0.300 | 131K |
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-scout",
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 Maverick | $0.188 | $0.652 | 1.05M | |
| 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 Scout 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 Scout does the answering when Jev sends it work, or when you name it yourself. Llama 4 Scout 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 Scout a System One model?
- No. Llama 4 Scout 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 Scout cost?
- $0.100 per million input tokens and $0.300 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00055, so a thousand of them is about $0.550. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Llama 4 Scout context window?
- 1,310,720 tokens, with up to 16,384 tokens in a single reply.
- Does Llama 4 Scout 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 Scout through llm11?
- Yes. Set model to meta-llama/llama-4-scout on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Llama 4 Scout?
- Routing decisions are made by Jev, TypeSafe AI's System One model. Llama 4 Scout 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 Scout?
- Nearest in price and below it: Google Gemma 4 26B A4B at $0.090 in and $0.300 out, OpenAI GPT-5 Nano at $0.050 in and $0.400 out and Mistral Mistral Small 3.2 24B at $0.094 in and $0.250 out. The catalogue has no benchmark score for Llama 4 Scout, so this is a price ordering. It does not claim these answer as well.