{"slug": "meta-s-muse-spark-1-3-beats-google-s-frontier-model-on-artificialanalysis", "title": "Meta's Muse Spark 1.3 beats Google's frontier model on artificialanalysis", "summary": "Meta's Muse Spark 1.3 (max), released on September 2, 2026, scores 62 on the Artificial Analysis Intelligence Index, surpassing Google's frontier model and well above the median of 17 for comparable reasoning models. The model supports text, image, and video input, outputs text, has a 1M token context window, and is priced at $0.00 per 1M input and output tokens, making it competitively priced against similar models.", "body_md": "# Muse Spark 1.3 (max) Intelligence, Performance & Price Analysis\n\n### Model summary\n\n#### Speed\n\nMuse Spark 1.3 (max) is amongst the leading models in intelligence and well priced when comparing to other models of similar price. The model supports text, image, and video input, outputs text, and has a 1M tokens context window.\n\nMuse Spark 1.3 (max) scores 62 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 17). When evaluating the Intelligence Index, it generated 120M tokens, which is very verbose in comparison to the median of 72M.\n\nPricing for Muse Spark 1.3 (max) is $0.00 per 1M input tokens (competitively priced, median: $0.20) and $0.00 per 1M output tokens (competitively priced, median: $0.60).\n\n| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |\n|---|---|\n| Input modality | Supports: text, image, and video |\n| Output modality | Supports: text |\n| Context window | 1M ~1500 A4 pages of size 12 Arial font |\n\nMetrics are compared against models of the same class:\n\n- Non-reasoning models → compared only with other non-reasoning models\n- Reasoning models → compared across both reasoning and non-reasoning\n- Open weights models → compared only with other open weights models of the same size class:\n- Tiny: ≤4B parameters\n- Small: 4B–40B parameters\n- Medium: 40B–150B parameters\n- Large: >150B parameters\n- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:\n- <$0.15 per 1M tokens\n- $0.15–$1 per 1M tokens\n- >$1 per 1M tokens\n\nHighlights\n\n### Speed\n\n## Intelligence\n\n[Artificial Analysis Intelligence Index](/evaluations/artificial-analysis-intelligence-index)\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Intelligence Evaluations\n\nAgentic real-world work tasks, (Elo-500)/2000\n\nAgentic tool use\n\nAgentic coding & terminal use\n\nCoding\n\nReasoning & knowledge\n\nScientific reasoning\n\nPhysics reasoning\n\nKnowledge\n\n1 - hallucination rate\n\nLong context reasoning\n\nAgentic knowledge work, Elo\n\nAgentic SaaS workflows\n\nLegal agentic work, criterion pass rate\n\nAgentic business operations\n\nQuantitative analysis on spreadsheets & documents\n\nInstruction following\n\nLong-horizon agentic tasks\n\nKubernetes incident root-cause analysis\n\nVisual reasoning\n\n### AA-Omniscience\n\n### AA-Omniscience Index\n\n## Intelligence Index Comparisons\n\n### Intelligence Index vs. Cost per Intelligence Index Task\n\n## Token Use\n\n### Output Tokens per Intelligence Index Task\n\n## Cost\n\n### Cost per Intelligence Index Task\n\n### Cost to Run Artificial Analysis Intelligence Index\n\n### Pricing: Cache Hit, Input, and Output\n\n## Context Window\n\n### Context Window\n\n## Frequently Asked Questions\n\nCommon questions about Muse Spark 1.3 (max)\n\nMuse Spark 1.3 (max) was released on September 2, 2026.\n\nMuse Spark 1.3 (max) was created by Meta.\n\nMuse Spark 1.3 (max) scores 62 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 17).\n\nWhen evaluated on the Intelligence Index, Muse Spark 1.3 (max) generated 120M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 72M).\n\nYes, Muse Spark 1.3 (max) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.\n\nMuse Spark 1.3 (max) supports text, image, and video input.\n\nMuse Spark 1.3 (max) supports text output.\n\nYes, Muse Spark 1.3 (max) supports image input and can analyze, describe, and answer questions about images.\n\nYes, Muse Spark 1.3 (max) is multimodal. It can process text, image, and video input and generate text output.\n\nMuse Spark 1.3 (max) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.\n\nNo, Muse Spark 1.3 (max) is proprietary. The model weights are not publicly available.\n\nMuse Spark 1.3 (max) is a proprietary model and Meta has not disclosed the model size or parameter count.\n\nMuse Spark 1.3 (max) achieves a score of 62 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.\n\nCheck the providers page for current API availability. [View providers](/models/muse-spark-1-3/providers)\n\nVisit the providers page to see availability. [Compare providers](/models/muse-spark-1-3/providers)", "url": "https://wpnews.pro/news/meta-s-muse-spark-1-3-beats-google-s-frontier-model-on-artificialanalysis", "canonical_source": "https://artificialanalysis.ai/models/muse-spark-1-3", "published_at": "2026-09-02 20:59:16+00:00", "updated_at": "2026-09-02 21:22:33.439304+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products"], "entities": ["Meta", "Muse Spark 1.3 (max)", "Google", "Artificial Analysis"], "alternates": {"html": "https://wpnews.pro/news/meta-s-muse-spark-1-3-beats-google-s-frontier-model-on-artificialanalysis", "markdown": "https://wpnews.pro/news/meta-s-muse-spark-1-3-beats-google-s-frontier-model-on-artificialanalysis.md", "text": "https://wpnews.pro/news/meta-s-muse-spark-1-3-beats-google-s-frontier-model-on-artificialanalysis.txt", "jsonld": "https://wpnews.pro/news/meta-s-muse-spark-1-3-beats-google-s-frontier-model-on-artificialanalysis.jsonld"}}