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Llama 3.1 Euryale 70B v2.2 is a creative roleplay model from Sao10K, the successor to Euryale L3 70B v2.1.

Precio: Entrada: 204 créditos / 1 M de tokens (≈ $1.02); salida: 204 créditos / 1 M de tokens (≈ $1.02).

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Guía completa de Llama 3.1 Euryale 70B v2.2

Llama 3.1 Euryale 70B v2.2 API on ModelFold

Llama 3.1 Euryale 70B v2.2 is a creative roleplay model from Sao10K, the successor to Euryale L3 70B v2.1. Try Llama 3.1 Euryale 70B v2.2 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Llama 3.1 Euryale 70B v2.2 API

Llama 3.1 Euryale 70B v2.2 at a glance

Llama 3.1 Euryale 70B v2.2 is a chat model from Sao10K. It accepts text as input and returns text, with a context window of up to 131K tokens.

Use it without hosting anything

On ModelFold you call Llama 3.1 Euryale 70B v2.2 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of Llama 3.1 Euryale 70B v2.2

Up to 131K tokens of context

Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.

Structured outputs

Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.

How to Use Llama 3.1 Euryale 70B v2.2 on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how Llama 3.1 Euryale 70B v2.2 responds before writing any code.

  2. 2

    Step 2: Create an API key

    Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.

  3. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "l3-1-euryale-70b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

  4. ✓

    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

What You Can Build with Llama 3.1 Euryale 70B v2.2

Writing and content

Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.

Frequently Asked Questions

What is Llama 3.1 Euryale 70B v2.2?⌄

Llama 3.1 Euryale 70B v2.2 is a creative roleplay model from Sao10K, the successor to Euryale L3 70B v2.1.

Which inputs does Llama 3.1 Euryale 70B v2.2 support?⌄

Llama 3.1 Euryale 70B v2.2 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.

How long is the context window of Llama 3.1 Euryale 70B v2.2?⌄

Up to 131K tokens, shared between your input and the model’s output.

Does Llama 3.1 Euryale 70B v2.2 support function calling?⌄

Function calling is not listed for Llama 3.1 Euryale 70B v2.2; requests that include tools will be rejected. Use plain prompts or JSON output instead.

How is Llama 3.1 Euryale 70B v2.2 billed on ModelFold?⌄

Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.

How do I call Llama 3.1 Euryale 70B v2.2 through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "l3-1-euryale-70b", using your ModelFold API key as the Bearer token.

Tarifas
Entrada204 créditos 1M tokens≈ $1.02
Salida204 créditos 1M tokens≈ $1.02

Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.

Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →
Inicio rápido
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"l3-1-euryale-70b","messages":[{"role":"user","content":"Hello"}]}'