import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "ibm-granite/granite-4.1-8b", "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": "ibm-granite/granite-4.1-8b", "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":"ibm-granite/granite-4.1-8b","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 6.6 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 9.5 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Granite 4.1 8B This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Granite 4.1 8B has a 131,072 tokens context window and can return up to 131,072 tokens.
Granite 4.1 8B takes image, text as input and returns text.
Use ibm-granite/granite-4.1-8b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Granite 4.1 8B is priced at input $0.06877 / 1M tokens, output $0.13754 / 1M tokens, cached input $0.06877 / 1M tokens.
Yes, Granite 4.1 8B can stream responses as they are generated.
Yes, Granite 4.1 8B accepts image input alongside text.
It is a chat model supporting reasoning, structured outputs, file input, and web search, suited for conversational and tool-assisted tasks.
Yes, it supports function calling, tool use, and parallel tool calls.