
muse-glimmer-30b
Meta/Open weights/2 providers
Muse Glimmer 30B is a dense causal language model distilled from Muse Spark and purpose-built for autonomous agentic work. It combines multi-step reasoning, reliable schema-based tool calling, and failure recovery with multimodal understanding via a ~1.8B ViT-G/14 perception encoder, supporting interleaved text and image input, a 131K+ context window, and selectable reasoning strength (low through xhigh). Trained on data from over 100 languages, Muse Glimmer performs strongly for its size class on agentic benchmarks including MCP Atlas, DeepSearch QA, Gaia2 and SWE-Bench Pro, and is released under Apache 2.0.MoreLess
Which id to call
muse-glimmer-30bRequesty routes this id across every provider serving muse-glimmer-30b, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
From /1M input
free
NVIDIA
Context
131K
131K output
Endpoints
2
1 region
Regions
1
chat
Capabilities 5/8
2 endpoints / 1 region
Providers serving muse-glimmer-30b
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 | NVIDIA | Global | 131K | free | free | free | - |
| 2 | Fireworks AI | Global | 131K | $0.35 | $1.50 | $0.04 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
muse-glimmer-30bRequesty routes this id across every provider serving muse-glimmer-30b, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="muse-glimmer-30b", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
6
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Reference
muse-glimmer-30b questions
Which providers serve muse-glimmer-30b?
muse-glimmer-30b is available from 2 providers through Requesty: NVIDIA, Fireworks AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does muse-glimmer-30b cost?
Pricing starts at free per million input tokens and free per million output tokens on NVIDIA, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is muse-glimmer-30b open weights?
Yes. muse-glimmer-30b is an open-weights model from Meta, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.
What is the context window of muse-glimmer-30b?
muse-glimmer-30b supports up to 131K tokens of context, with up to 131K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use muse-glimmer-30b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "muse-glimmer-30b" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call muse-glimmer-30b by its managed id or a provider id?
Use the managed id, "muse-glimmer-30b". Requesty picks which of the 2 providers serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "nvidia/muse-glimmer-30b" only when you need one specific deployment and want no failover.
Route muse-glimmer-30b through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.


