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MetaText Generation/v1/ai/chat

Llama 4 Scout

Access Llama 4 Scout through one API key. Meta's open-weight model with 512K context.

Meta's latest open-weight model. Strong performance on reasoning, coding, and instruction-following with competitive pricing.

No credit card required. Takes 30 seconds.

2,400+

Developers

1.2M+

API calls served

100+

Endpoints

$0.01

Per call

Yep, that's it.

Try it live

Send a message and see Llama 4 Scout respond in real time.

POST/v1/ai/chat

Maximum tokens in the response.

Real-time tokens

Hit "Send Request" to see the response

Context Window

512K tokens

Max Output

8K tokens

Input Price

$0.21 / 1M tokens

Output Price

$0.84 / 1M tokens

Strengths

Open-weight model

Meta releases Llama 4 Scout's weights openly, so behavior is transparent and portable — useful for teams that value avoiding lock-in.

512K context

Handles up to 512,000 tokens per request, enough to load large documents, long histories, or substantial codebases in one call.

Strong reasoning

Performs well on reasoning, instruction-following, and coding for an open model, making it a capable general-purpose option.

Competitive pricing

At $0.21 per 1M input and $0.84 per 1M output tokens, it offers large-context capability at a price close to the cheapest closed models.

Quick start

Copy this snippet and start making calls with Llama 4 Scout.

const res = await fetch('https://api.yepapi.com/v1/ai/chat', {
  method: 'POST',
  headers: {
    'x-api-key': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "model": "meta-llama/llama-4-scout",
    "messages": [
      {
        "role": "user",
        "content": "Explain API gateways in 2 sentences."
      }
    ],
    "maxTokens": 256
  }),
});
const { data } = await res.json();
console.log(data.message.content);

Why use Llama 4 Scout through YepAPI?

One API key for all models — no separate accounts
OpenAI SDK compatible — just change the base URL
No monthly minimums — pay per token
Switch models with one line of code
Full provider passthrough — citations, search results, and all extras included
Streaming and non-streaming support on every model
Works with Cursor, Claude, LangChain, and any LLM tool
Unified billing across all providers

Llama 4 Scout API — pricing, context window & access

Llama 4 Scout is Meta's latest open-weight model, combining strong general capability with a large 512,000-token context window. It returns up to 8,192 output tokens per response.

Through YepAPI you call Llama 4 Scout on an OpenAI-compatible endpoint with one key — the same key that also reaches GPT-4o, Claude, Gemini, DeepSeek, and the SEO, SERP and scraping endpoints.

What is Llama 4 Scout?

Llama 4 Scout is part of Meta's Llama 4 generation of open-weight models. Its distinguishing feature is a 512,000-token context window paired with solid reasoning, coding, and instruction-following — a lot of capability for a model whose weights are openly released. Because it's open-weight, its behavior is transparent and portable, which appeals to teams wary of being locked into a single closed provider. It's positioned as a competitive general-purpose model for those who want frontier-class context length without frontier-class pricing.

Build with Llama 4 Scout via YepAPI

YepAPI exposes Llama 4 Scout through the OpenAI-compatible /v1/ai/chat endpoint, so you call Meta's model using the chat-completions format and the model string llama-4-scout. Switching between Llama 4 Scout and a closed model like GPT-4o, Claude, or Gemini is a single string change — handy for benchmarking open against closed on your own tasks. Your one key also covers search and scraping endpoints, so everything runs on the same account.

Llama 4 Scout API pricing — $0.21 / 1M input, $0.84 / 1M output

Llama 4 Scout costs $0.21 per 1M input tokens and $0.84 per 1M output tokens through YepAPI. That puts an open-weight model with a 512K context window at roughly the price of the cheapest closed small models — a strong value for long-context work. It's well-suited to jobs that combine large inputs with high volume, where both context length and per-token cost matter. You pay only for tokens used, with no minimums.

Llama 4 Scout for long-context, open-model workloads

Scout's 512K window lets you feed it big documents, extended conversation histories, or sizeable codebases without splitting them up. For teams that prefer an open-weight model — for transparency, portability, or to avoid single-vendor lock-in — it offers that option while staying competitive on reasoning and coding. Run it as your default for long-context tasks and escalate to a closed flagship only when a job genuinely needs more.

Try Llama 4 Scout free

New YepAPI accounts get $5 in free credit, no card required. At these rates that's plenty to test Llama 4 Scout's 512K context on a real document or codebase. Sign up, grab your key, and start calling Llama 4 Scout in minutes.

Start generating in 30 seconds

$5 free credit on signup. No credit card required. Pay per call.

What developers say

Switched from SerpAPI and cut our SERP costs by 80%. Same data quality, way simpler billing.

Marcus T.

SEO Platform Founder

One API key for AI models, SERP data, and web scraping. Saved us from managing 4 separate providers.

Priya S.

Full-Stack Developer

The $5 free credit let us prototype our entire rank tracking feature before committing. No other API does that.

Jake R.

Indie Hacker

Frequently asked questions

Meta's latest open-weight model. Strong performance on reasoning, coding, and instruction-following with competitive pricing.

Input tokens cost $0.21 per 1M tokens and output tokens cost $0.84 per 1M tokens through YepAPI. No monthly minimums — you only pay for what you use.

Sign up for a free API key, then send requests to the /v1/ai/chat endpoint.

Llama 4 Scout supports a 512K token context window with up to 8K output tokens per request.

Ready to use Llama 4 Scout?

$5 free credit on signup. No credit card required. Pay per call.

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