Muse Glimmer (High) Intelligence, Performance and Price Analysis

Meta released Muse Glimmer (high), a 30B-parameter open-weight reasoning model, on August 10, 2026, scoring 35 on the Artificial Analysis Intelligence Index, well above the median of 9 for comparable models. The model supports text and image input, outputs text, has a 256k token context window, and is priced at $0.00 per 1M input and output tokens, undercutting the medians of $0.04 and $0.15 respectively.

Muse Glimmer high Intelligence, Performance & Price Analysis 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 Face https://huggingface.co/meta-models/Muse-Glimmer-30B Metrics 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 - Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: - <$0.15 per 1M tokens - $0.15–$1 per 1M tokens - $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 Exam /evaluations/humanitys-last-exam Updated Reasoning & knowledge Scientific reasoning Physics reasoning AA-Omniscience Accuracy /evaluations/omniscience Updated Knowledge 1 - hallucination rate AA-LCR /evaluations/artificial-analysis-long-context-reasoning Updated 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 https://www.apache.org/licenses/LICENSE-2.0 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