Model summary
Intelligence
Speed
Input Price
Output Price
Verbosity
Muse Glimmer (high) is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text and image input, outputs text, and has a 256k tokens context window with knowledge up to January 2026.
Muse Glimmer (high) scores 35 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 9). When evaluating the Intelligence Index, it generated 48M tokens, which is somewhat verbose in comparison to the median of 40M.
Pricing for Muse Glimmer (high) is $0.00 per 1M input tokens (competitively priced, median: $0.04) and $0.00 per 1M output tokens (competitively priced, median: $0.15).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text and image |
| Output modality | Supports: text |
| Knowledge cutoff | Jan 4, 2026 |
| Context window | 256k ~384 A4 pages of size 12 Arial font |
| Total parameters | 30B |
| License | |
Hugging FaceMetrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
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Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
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<$0.15 per 1M tokens
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$0.15–$1 per 1M tokens
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$1 per 1M tokens Highlights
Speed
Intelligence #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
[𝜏³-Banking](/evaluations/tau3-banking)Updated
Agentic tool use
Agentic coding & terminal use
Coding
Humanity's Last ExamUpdated Reasoning & knowledge
Scientific reasoning
Physics reasoning
AA-Omniscience AccuracyUpdated Knowledge
1 - hallucination rate
AA-LCRUpdated Long context reasoning
Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, criterion pass rate
Agentic business operations
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-Omniscience
AA-Omniscience Index
Openness Index #
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons #
Intelligence Index vs. Cost per Intelligence Index Task
Token Use #
Output Tokens per Intelligence Index Task
Cost #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
Model Size (Open Weights Models Only) #
Model Size: Total and Active Parameters
Frequently Asked Questions #
Common questions about Muse Glimmer (high)
Muse Glimmer (high) was released on August 10, 2026.
Muse Glimmer (high) was created by Meta.
Muse Glimmer (high) scores 35 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 9).
When evaluated on the Intelligence Index, Muse Glimmer (high) generated 48M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 40M).
Yes, Muse Glimmer (high) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Muse Glimmer (high) supports text and image input.
Muse Glimmer (high) supports text output.
Yes, Muse Glimmer (high) supports image input and can analyze, describe, and answer questions about images.
Yes, Muse Glimmer (high) is multimodal. It can process text and image input and generate text output.
Muse Glimmer (high) has a context window of 260k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Muse Glimmer (high) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Muse Glimmer (high) has 30 billion parameters.
Muse Glimmer (high) is released under the Apache 2.0 license. This license allows commercial use. View license Muse Glimmer (high) achieves a score of 35 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Muse Glimmer (high) has a knowledge cutoff of January 2026. The model's training data includes information up to this date.
Muse Glimmer (high) is an open weights model that can be self-hosted. [View providers](/models/muse-glimmer/providers)
Muse Glimmer (high) is an open weights model that can be downloaded and self-hosted. [Compare providers](/models/muse-glimmer/providers)