import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "sao10k/l3.3-euryale-70b", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "sao10k/l3.3-euryale-70b", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"sao10k/l3.3-euryale-70b","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Llama 3.3 Euryale 70B This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Llama 3.3 Euryale 70B has a 131,072 tokens context window and can return up to 16,384 tokens.
Llama 3.3 Euryale 70B takes image, text as input and returns text.
Use sao10k/l3.3-euryale-70b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Llama 3.3 Euryale 70B is priced at input $0.89401 / 1M tokens, output $1.03155 / 1M tokens.
Yes, Llama 3.3 Euryale 70B can stream responses as they are generated.
Yes, Llama 3.3 Euryale 70B accepts image input alongside text.
Yes, it supports function calling, tools, and parallel tool calls.