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Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...
At a glance
- Context window
- 131Ktokens
- Max output
- 118Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
CapabilitiesReasoningVisionToolsStructured output
InputTextImage
OutputText
ReasoningSupportedxhighhighmediumlow
Benchmarks
Standard evaluations
| Benchmark | Score | Tasks |
|---|---|---|
| gpqa_diamond | 0.8 | 990 |
| tau_bench_verified_airline | 0.73 | 200 |
as of Sep 16, 2026
Performance
Uptime on IranRouter
98.3%
Aug 18Sep 16
Reference uptime
100%
Aug 18Sep 16
Median latency
618 ms
Aug 18Sep 16
Throughput
89.1 tok/s
Aug 18Sep 16
IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Parameters this model accepts; anything else is ignored.
Quick start
from openai import OpenAI
client = OpenAI(
api_key="ir-...",
base_url="https://iranrouter.com/v1",
)
resp = client.chat.completions.create(
model="meta/muse-glimmer-30b",
messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)Only base_url and the key change; the rest of your code stays as it is.