import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "meta/muse-glimmer-30b", "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": "meta/muse-glimmer-30b", "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":"meta/muse-glimmer-30b","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Muse Glimmer 30B This page | Multimodal reasoning and tool use | |||
| Complex agentic coding and enterprise workflows | ||||
| Reasoning + agents | ||||
| Reasoning + agents | ||||
| Long-context, multimodal & agentic workflows |
Muse Glimmer 30B has a 131,072 tokens context window.
Muse Glimmer 30B takes image, text as input and returns text.
Use meta/muse-glimmer-30b as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Muse Glimmer 30B became available on August 10, 2026.
Muse Glimmer 30B is priced at input $0.48139 / 1M tokens, output $2.0631 / 1M tokens, cached input $0.055016 / 1M tokens.
Yes, Muse Glimmer 30B can stream responses as they are generated.
Yes, Muse Glimmer 30B accepts image input alongside text.
Muse Glimmer 30B was built by Meta.
Yes, it supports function calling with parallel tool calls, and includes a reasoning feature.
Yes, it supports structured outputs as one of its listed features.