Muse Glimmer 30B
by meta · family muse-glimmer
Facts
| Release date | 2026-08-10 |
|---|---|
| Retired date | — |
| Knowledge cutoff | 2026-01-04 |
| Context (max) | 131,072 |
| Max output | — |
| Modalities | text → text |
| Aliases | muse-glimmer-30b |
| Open weights | yes (meta-models/Muse-Glimmer-30B) |
| Description | Open-weight (Apache 2.0) 30B reasoning model, 128K context; served on NVIDIA NIM, not on Meta's own API. Knowledge cutoff per third-party model-card summaries. |
Unknown values are shown as —.
Intelligence Index v4.1.1: 35 · high · Source: Artificial Analysis (accessed 2026-08-20)
Offerings
| Provider | Wire ID | Variant | Endpoint | Protocol | Status | Price (USD / Mtok) | Reasoning |
|---|---|---|---|---|---|---|---|
| NVIDIA NIM API | meta/muse-glimmer-30b | v1-chat-completions | openai-chat | ga | — | effort · default on · returns reasoning_content | |
| OpenRouter | meta/muse-glimmer-30b | chat-completions | openai-chat | ga | 0.35 / 1.50 | effort · default on · returns reasoning_content · round-trips reasoning_content |
Reasoning controls
NVIDIA NIM API· meta/muse-glimmer-30b· v1-chat-completions effort
reasoning_effort noneminimallowmediumhigh●max Model-dependent; chat_template_kwargs.reasoning_strength also documented — verify.
effort · default on · returns reasoning_content
OpenRouter· meta/muse-glimmer-30b· chat-completions effort
reasoning.effort nonelowmedium●highxhighmax
effort · default on · returns reasoning_content · round-trips reasoning_content
Example requests
NVIDIA NIM API · openai-chat · meta/muse-glimmer-30b
curl 'https://integrate.api.nvidia.com/v1/chat/completions' \
-H 'Authorization: Bearer <YOUR_API_KEY>' \
-H 'Content-Type: application/json' \
-d '{
"model": "meta/muse-glimmer-30b",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning_effort": "high"
}'Python (requests)
import requests
resp = requests.post(
"https://integrate.api.nvidia.com/v1/chat/completions",
headers={
"Authorization": "Bearer <YOUR_API_KEY>",
"Content-Type": "application/json"
},
json={
"model": "meta/muse-glimmer-30b",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning_effort": "high"
},
)
print(resp.json())TypeScript (fetch)
const resp = await fetch("https://integrate.api.nvidia.com/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": "Bearer <YOUR_API_KEY>",
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "meta/muse-glimmer-30b",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning_effort": "high"
}),
})
console.log(await resp.json())OpenRouter · openai-chat · meta/muse-glimmer-30b
curl 'https://openrouter.ai/api/v1/chat/completions' \
-H 'Authorization: Bearer <YOUR_API_KEY>' \
-H 'Content-Type: application/json' \
-d '{
"model": "meta/muse-glimmer-30b",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning": {
"effort": "medium"
}
}'Python (requests)
import requests
resp = requests.post(
"https://openrouter.ai/api/v1/chat/completions",
headers={
"Authorization": "Bearer <YOUR_API_KEY>",
"Content-Type": "application/json"
},
json={
"model": "meta/muse-glimmer-30b",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning": {
"effort": "medium"
}
},
)
print(resp.json())TypeScript (fetch)
const resp = await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": "Bearer <YOUR_API_KEY>",
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "meta/muse-glimmer-30b",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning": {
"effort": "medium"
}
}),
})
console.log(await resp.json())- ⚠ Responses include
reasoning_contentartifacts — pass them back unmodified on subsequent turns (dropping them triggers 400s or quality loss).