# Sources:
# https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model
# https://huggingface.co/meta-models/Muse-Glimmer-30B
# https://developer.meta.com/ai/models/muse-glimmer/

name = "Muse Glimmer 30B"
description = "Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding."
family = "muse"
release_date = "2026-08-10"
last_updated = "2026-08-10"
attachment = true
reasoning = true
temperature = true
tool_call = true
structured_output = true
knowledge = "2026-01-04"
open_weights = true
license = "Apache 2.0"

[limit]
context = 131_072
output = 131_072

[modalities]
input = ["text", "image"]
output = ["text"]

[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/meta-models/Muse-Glimmer-30B"

[[links]]
label = "Announcement"
url = "https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model"
type = "announcement"

[[links]]
label = "Model card"
url = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
type = "model_card"

[[links]]
label = "Developer docs"
url = "https://developer.meta.com/ai/models/muse-glimmer/"
type = "docs"

[[benchmarks]]
name = "MCP Atlas"
score = 75.5
metric = "success rate"
variant = "public"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "DeepSearch QA"
score = 74.6
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "SWE-Bench Pro"
score = 51.2
metric = "resolve rate"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "SWE-Bench Verified"
score = 76.0
metric = "resolve rate"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "Terminal-Bench"
score = 51.7
metric = "success rate"
version = "2.1"
variant = "with terminus2"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "OSWorld-Verified"
score = 65.9
metric = "success rate"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "AIME 2026"
score = 94.7
metric = "accuracy"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "GPQA Diamond"
score = 83.5
metric = "accuracy"
variant = "AA"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"

[[benchmarks]]
name = "CharXiv Reasoning"
score = 78.8
metric = "accuracy"
source = "https://huggingface.co/meta-models/Muse-Glimmer-30B"
date = "2026-08-10"