Llama 4 Scout
Meta AIReleased Apr 5, 2025
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
- Context window
- 10M tokens
- Max output
- 16K tokens
- Input
- text, image
- Output
- text
- Tokenizer
- Llama4
- Knowledge cutoff
- Aug 31, 2024
- Released
- Apr 5, 2025
Pricing
Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.
| Per 1M tokens | Provider | + 3% fee | You pay |
|---|---|---|---|
| Input | $0.100 | $0.0030 | $0.103 |
| Output | $0.300 | $0.0090 | $0.309 |
Benchmarks
Artificial Analysis
- Intelligence index
- 10
- Coding index
- 8.2
- Agentic index
- 1.1
Design Arena
| Category | Elo | Win rate | Rank |
|---|---|---|---|
| Codemodels | 839 | 26.6% | #106 |
| Data vizmodels | 940 | 39.3% | #96 |
| Game devmodels | 838 | 27.4% | #105 |
| UI componentsmodels | 824 | 25.5% | #100 |
| Websitesmodels | 793 | 22.7% | #112 |
Head-to-head preference voting. How we filter and rank
Supported parameters
- frequency_penalty
- logit_bias
- max_tokens
- min_p
- presence_penalty
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_p
Call it
OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model meta-llama/llama-4-scout.
curl https://api.openkey.ai/v1/chat/completions \
-H "Authorization: Bearer $OPENKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/llama-4-scout",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.openkey.ai/v1",
api_key=os.environ["OPENKEY_API_KEY"],
)
completion = client.chat.completions.create(
model="meta-llama/llama-4-scout",
messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.openkey.ai/v1",
apiKey: process.env.OPENKEY_API_KEY,
});
const completion = await client.chat.completions.create({
model: "meta-llama/llama-4-scout",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);Questions
- How much does Llama 4 Scout cost via API?
- Through OpenKey, Llama 4 Scout costs $0.103 per 1M input tokens and $0.309 per 1M output tokens. That is the provider price ($0.100 / $0.300) plus a flat 3% fee — nothing else.
- What is Llama 4 Scout's context window?
- Llama 4 Scout accepts up to 10M tokens of context and returns up to 16K tokens per request.
- Is Llama 4 Scout OpenAI-compatible?
- Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "meta-llama/llama-4-scout" using any OpenAI SDK — only the base URL and API key change.
- What inputs does Llama 4 Scout support?
- Llama 4 Scout accepts text, image input and produces text output. Its knowledge cutoff is Aug 31, 2024.
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