{"slug": "muse-spark-1-3-ranks-3-on-artificial-analysis-intelligence-index", "title": "Muse Spark 1.3 Ranks #3 on Artificial Analysis Intelligence Index", "summary": "Muse Spark 1.3, a large language model, ranked #3 on the Artificial Analysis Intelligence Index, an independent evaluation of AI models by Artificial Analysis. The index measures intelligence across various tasks, and Muse Spark 1.3's high ranking indicates its competitive performance among leading AI models.", "body_md": "# Independent analysis of AI\n\nUnderstand the AI landscape to choose the best model and provider for your use case\n\nHighlights\n\n## Intelligence\n\nIntelligence of leading AI models based on our independent evaluations\n\n[Artificial Analysis Intelligence Index](/evaluations/artificial-analysis-intelligence-index)\n\n### Artificial Analysis Intelligence Index by Open Weights / Proprietary\n\n### Cost per Intelligence Index Task\n\n### Intelligence Index vs. Cost per Intelligence Index Task\n\n[Intelligence Index vs. Cost per Intelligence Index Task, by Model Release](/models/releases)\n\n### Frontier Language Model Intelligence, Over Time\n\nPerformance, cost, and execution time for leading coding agents on end-to-end software engineering tasks\n\n[Artificial Analysis Coding Agent Index](/agents/coding-agents)\n\n## Image & Video\n\nTop models from our Image Arena and Video Arena leaderboards, with 95% confidence intervals\n\n### Text to Image Leaderboard\n\n[See the full leaderboard here.](/image/leaderboard/text-to-image)\n\n## Speech\n\nTop models from our Text to Speech Arena, Speech to Text and Speech to Speech evaluations\n\n### Provider Voice Arena Quality Elo\n\nMeasures the performance of models on specific capabilities and industries\n\n[Artificial Analysis Finance & Accounting Index](/models/capabilities/finance-and-accounting)\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-Briefcase](/evaluations/aa-briefcase)\n\nAA-Briefcase is a frontier agentic evaluation for long-horizon knowledge work, testing agents on realistic business workflows that require deliverables such as spreadsheets, presentations, and memos\n\n### AA-Briefcase Elo\n\n[AA-AnalystAgent](/evaluations/aa-analyst-agent)\n\nAA-AnalystAgent is a benchmark for end-to-end quantitative analysis on real-world spreadsheets and documents — the kind of work business and data analysts do every day\n\n### AA-AnalystAgent pass^5\n\n[AA-Omniscience](/evaluations/omniscience)\n\nAA-Omniscience is a knowledge and hallucination benchmark that rewards accuracy, punishes bad guesses and provides a comprehensive view of which models produce factually reliable outputs across different domains\n\n### AA-Omniscience Index\n\n[GDPval-AA v2](/evaluations/gdpval-aa)\n\nGDPval-AA v2 evaluates AI models on real-world, economically valuable tasks across a wide range of occupations\n\n### GDPval-AA v2 Leaderboard\n\nArtificial Analysis Openness Index assesses how 'open' models are on the basis of their availability and transparency across different components.\n\n### Artificial Analysis Openness Index: Components\n\n### Artificial Analysis Openness Index vs. Artificial Analysis Intelligence Index\n\n## Output Tokens\n\nOutput tokens of leading AI models based on our independent evaluations\n\n### Output Tokens per Intelligence Index Task\n\n## Cost\n\nPrice and real-world costs of leading AI models based on our independent evaluations\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## Speed & Latency\n\nComparison of first-party API performance", "url": "https://wpnews.pro/news/muse-spark-1-3-ranks-3-on-artificial-analysis-intelligence-index", "canonical_source": "https://artificialanalysis.ai/#artificial-analysis-intelligence-index", "published_at": "2026-09-04 08:45:57+00:00", "updated_at": "2026-09-04 09:23:22.679538+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models"], "entities": ["Muse Spark 1.3", "Artificial Analysis Intelligence Index", "Artificial Analysis"], "alternates": {"html": "https://wpnews.pro/news/muse-spark-1-3-ranks-3-on-artificial-analysis-intelligence-index", "markdown": "https://wpnews.pro/news/muse-spark-1-3-ranks-3-on-artificial-analysis-intelligence-index.md", "text": "https://wpnews.pro/news/muse-spark-1-3-ranks-3-on-artificial-analysis-intelligence-index.txt", "jsonld": "https://wpnews.pro/news/muse-spark-1-3-ranks-3-on-artificial-analysis-intelligence-index.jsonld"}}