Muse Ember (Max) Intelligence, Performance and Price Analysis

Meta's Muse Ember (Max), released November 9, 2026, scores 36 on the Artificial Analysis Intelligence Index, well above the median of 24 for models in its price tier, according to Artificial Analysis. The reasoning model accepts text and image input, outputs text with a 1M-token context window, and is priced at $0.10 per 1M input tokens and $0.50 per 1M output tokens, versus medians of $0.23 and $0.83. Evaluating Muse Ember (Max) on the Intelligence Index costs $0.14 per task on average, and the model generated 115M tokens during the evaluation against a median of 97.1M.

Muse Ember Max Intelligence, Performance & Price Analysis Model summary Performance Muse Ember Max is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text and image input, outputs text, and has a 1M tokens context window. Muse Ember Max scores 36 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models median: 24 . When evaluating the Intelligence Index, it generated 115M tokens, which is somewhat verbose in comparison to the median of 97.1M. Pricing for Muse Ember Max is $0.10 per 1M input tokens competitively priced, median: $0.23 and $0.50 per 1M output tokens competitively priced, median: $0.83 . On average, it costs $0.14 per task to evaluate Muse Ember Max on the Intelligence Index. | 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 | | Context window | 1M ~1573 A4 pages of size 12 Arial font | 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 Time per Task Intelligence Artificial Analysis Intelligence Index https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index Artificial Analysis Intelligence Index by Open Weights / Proprietary Intelligence Index vs. Cost per Task Measures the performance of models on specific capabilities and industries Artificial Analysis Finance & Accounting Index https://artificialanalysis.ai/indexes/finance-and-accounting Evaluations Agentic knowledge work, Elo Knowledge 1 - hallucination rate Agentic SaaS workflows Agentic scientific research workflows in a terminal Agentic software engineering in open-source repositories Reasoning & knowledge Professional document reasoning, All-pass Agentic coding & terminal use Physics reasoning Quantitative analysis on spreadsheets & documents Legal agentic work, Hallucination-Gated All-Pass Rate Agentic business operations Agentic real-world work tasks, Elo Agentic interactive 3D experiences, Elo Product and brand videos designed in code, Elo Kubernetes incident root-cause analysis Medical long context reasoning Visual reasoning Rich, varied, well-crafted language Well-structured, scannable, answer-first Truthful, acknowledges uncertainty, non-sycophantic Use of filler and generic language AA-Briefcase v1.1 AA-Briefcase Elo AA-Omniscience v1.1 AA-Omniscience Net Score 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 Frequently Asked Questions Common questions about Muse Ember Max Muse Ember Max was released on November 9, 2026. Muse Ember Max was created by Meta. Muse Ember Max scores 36 on the Artificial Analysis Intelligence Index, placing it well above average among other models in a similar price tier median: 24 . Muse Ember Max costs $0.10 per 1M input tokens very competitive, median: $0.23 and $0.50 per 1M output tokens very competitive, median: $0.83 , based on the median across providers serving the model. Muse Ember Max costs $0.10 per 1M input tokens and $0.50 per 1M output tokens based on the median across providers serving the model . For a blended rate 7:2:1 cache hit/input/output ratio , this is $0.0728 per 1M tokens. Pricing may vary by provider. Compare provider pricing https://artificialanalysis.ai/models/muse-ember/providers When evaluated on the Intelligence Index, Muse Ember Max generated 115M output tokens, which is somewhat higher than average compared to other models in a similar price tier median: 97.1M . Yes, Muse Ember Max is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. Muse Ember Max supports text and image input. Muse Ember Max supports text output. Yes, Muse Ember Max supports image input and can analyze, describe, and answer questions about images. Yes, Muse Ember Max is multimodal. It can process text and image input and generate text output. Muse Ember Max has a context window of 1M tokens. This determines how much text and conversation history the model can process in a single request. No, Muse Ember Max is proprietary. The model weights are not publicly available. Muse Ember Max is a proprietary model and Meta has not disclosed the model size or parameter count. Muse Ember Max achieves a score of 36 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across knowledge work, coding, science, and general knowledge. Yes, Muse Ember Max is available via API through 1 provider. Compare API providers https://artificialanalysis.ai/models/muse-ember/providers Muse Ember Max is available through 1 API provider. Compare providers https://artificialanalysis.ai/models/muse-ember/providers