llama-3-1-70b-instruct
Llama 3.1 70B Instruct is the 70B instruction-tuned model in Meta’s Llama 3.1 family, optimized for high-quality dialogue.
Precio: Entrada: 172.8 créditos / 1 M de tokens (≈ $0.86); salida: 172.8 créditos / 1 M de tokens (≈ $0.86).
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Llama 3.1 70B Instruct API on ModelFold
Llama 3.1 70B Instruct is the 70B instruction-tuned model in Meta’s Llama 3.1 family, optimized for high-quality dialogue. Try Llama 3.1 70B Instruct in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Llama 3.1 70B Instruct API
Llama 3.1 70B Instruct at a glance
Llama 3.1 70B Instruct is a chat model from Meta. 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 70B Instruct 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 70B Instruct
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.
Function calling
Llama 3.1 70B Instruct supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
How to Use Llama 3.1 70B Instruct on ModelFold
- 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 70B Instruct responds before writing any code.
- 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
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "llama-3-1-70b-instruct" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
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 70B Instruct
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Frequently Asked Questions
What is Llama 3.1 70B Instruct?⌄
Llama 3.1 70B Instruct is the 70B instruction-tuned model in Meta’s Llama 3.1 family, optimized for high-quality dialogue.
Which inputs does Llama 3.1 70B Instruct support?⌄
Llama 3.1 70B Instruct 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 70B Instruct?⌄
Up to 131K tokens, shared between your input and the model’s output.
Does Llama 3.1 70B Instruct support function calling?⌄
Yes. Llama 3.1 70B Instruct supports tools / function calling through the standard tools parameter of the chat completions API.
How is Llama 3.1 70B Instruct 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 70B Instruct through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "llama-3-1-70b-instruct", using your ModelFold API key as the Bearer token.
| Entrada | 172.8 créditos 1M tokens≈ $0.86 |
| Salida | 172.8 créditos 1M tokens≈ $0.86 |
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 →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"llama-3-1-70b-instruct","messages":[{"role":"user","content":"Hello"}]}'