{"slug": "muse-spark-1-1-meta-gains-8-intelligence-index-points-in-three-months", "title": "Muse Spark 1.1: Meta gains 8 Intelligence Index points in three months", "summary": "Meta's Muse Spark 1.1 scored 51 on the Artificial Analysis Intelligence Index, an 8-point gain over its predecessor in three months, driven by improvements in scientific reasoning, coding, and knowledge. The model is among the most token-efficient and cost-effective at its intelligence level, with an estimated $0.26 per task. It trails frontier models like Claude Fable 5 (60) and GPT-5.6 Sol (59) but matches GPT-5.4 and GLM-5.2.", "body_md": "[All articles](/articles)\n\nJuly 10, 2026\n\n# Muse Spark 1.1: Meta gains 8 Intelligence Index points in three months\n\n**Meta's Muse Spark 1.1 scores 51 on the Artificial Analysis Intelligence Index and is cost and token efficient compared to its peers**\n\nWe supported Meta with pre-release evaluation of Muse Spark 1.1 (xhigh), which gains 8 points over Muse Spark 1.0 (43) in three months. It is effectively tied with GLM-5.2 (max), GPT-5.4 (xhigh), and GPT-5.6 Luna (max) at 51, three points behind Grok 4.5 (high, 54), with the leading edge at Claude Fable 5 (60), GPT-5.6 Sol (max, 59), and Claude Opus 4.8 (max, 56).\n\nThe gains concentrate in Scientific Reasoning, Coding, and Knowledge. Agentic Knowledge work improves substantially but continues to lag the frontier on GDPval-AA v2.\n\n**Key Takeaways:**\n\n➤ **Muse Spark 1.1 gains substantially on the first Muse Spark release.** This was driven in particular by gains in agentic knowledge work (GDPval-AA v2) and coding (SciCode, TerminalBench). On Humanity's Last Exam, it reaches 45%, within a point of Claude Opus 4.8 (max, 46%) and ahead of GPT-5.5 (44%) and Grok 4.5 (high, 40%)\n\n➤ **The most token-efficient of the models effectively tied at 51 and among the cheaper models to run.** Muse Spark 1.1 used 94M output tokens to run the Intelligence Index, fewer than GPT-5.4 (xhigh, 109M), GPT-5.6 Luna (max, 125M), and GLM-5.2 (max, 141M). We estimate ~$0.26 per Intelligence Index task at Meta's $1.25/$4.25 pricing - below GLM-5.2 ($0.37) and roughly 3x below GPT-5.4 ($0.89)\n\n➤ **The AA-Omniscience gain is driven by abstention rather than accuracy.** The score more than quadrupled from 4 to 18 as the hallucination rate fell 35 points (73% to 38%), with the attempt rate down from 95% to 82% and accuracy roughly flat (45% to 41%)\n\n**Other model details:**\n\n➤ Context window: 1M tokens, up from 262k for Muse Spark 1.0\n\n➤ Pricing: $1.25/$4.25 per 1M input/output tokens; cache hits discounted to $0.15 per 1M\n\n➤ Output speed: ~114 tokens/s median on Meta's first-party API, with a ~21s time to first answer token\n\n➤ Availability: Meta's first-party API at launch\n\nThe 8 point Intelligence Index gain over Muse Spark 1.0 is concentrated in Scientific Reasoning, Coding, and Knowledge: the Coding Index +12 points (59 to 71), SciCode +6 points (52% to 58%), Humanity's Last Exam +5 points (40% to 45%), AA-Omniscience +14 points (4 to 18), and GDPval-AA v2 +232 Elo (1144 to 1376).\n\nSciCode is the standout: Muse Spark 1.1 ranks #3 across all models we have benchmarked at 58%, behind only Claude Fable 5 (60%) and Gemini 3.1 Pro Preview (59%). Its 45% on Humanity's Last Exam sits within a point of Claude Opus 4.8 (max, 46%), a model five points ahead of it on the Intelligence Index.\n\nMuse Spark 1.1 is relatively token-efficient, using 94M output tokens to run the Intelligence Index. This figure is lower than the other models it roughly ties with on a 51 Intelligence Index, with GPT-5.4 (xhigh) using 109M, GPT-5.6 Luna (max) using 125M, and GLM-5.2 (max) using 141M.\n\nHowever, it used more tokens than several higher-scoring models, such as Claude Fable 5 and Grok 4.5 (high). When this moderate level of token efficiency is combined with Meta's low per-token costs, we estimate a Cost per Intelligence Index Task figure of ~$0.26, behind only GPT-5.6 Luna ($0.21) among models at or above its intelligence.\n\nMuse Spark 1.1 shows the opposite AA-Omniscience pattern to Grok 4.5. Where Grok 4.5's gain came from higher accuracy alongside a higher hallucination rate, Muse Spark 1.1's rise from 4 to 18 comes from abstention: its hallucination rate fell 35 points to 38% while accuracy held roughly flat.\n\nFull Intelligence Index evaluations breakdown:\n\nFor more details and full results, see: [https://artificialanalysis.ai/models/muse-spark-1-1](https://artificialanalysis.ai/models/muse-spark-1-1)\n\n#### Read the latest\n\n### GPT-5.6 benchmarks across Intelligence, Speed and Cost\n\nGPT-5.6 Sol comes close second to Claude Fable 5 in the Artificial Analysis Intelligence Index at one third of the cost, and leads the Artificial Analysis Coding Agent Index in OpenAI’s Codex harness\n\nJuly 9, 2026\n\n### Announcing EnterpriseOps-Gym-AA\n\nOur independent leaderboard for ServiceNow’s EnterpriseOps-Gym\n\nJuly 8, 2026\n\n### Grok 4.5 brings SpaceXAI to the intelligence frontier\n\nSpaceXAI’s Grok 4.5 scores 54 to place fourth on the Artificial Analysis Intelligence Index following only Fable 5, GPT-5.5, and Opus 4.8. It scores on par with GPT-5.5 in Codex on the Artificial Analysis Coding Agent Index in the Grok Build harness, at much lower cost\n\nJuly 8, 2026", "url": "https://wpnews.pro/news/muse-spark-1-1-meta-gains-8-intelligence-index-points-in-three-months", "canonical_source": "https://artificialanalysis.ai/articles/muse-spark-1-1-everything-you-need-to-know", "published_at": "2026-07-13 08:37:00+00:00", "updated_at": "2026-07-13 09:05:56.947778+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products"], "entities": ["Meta", "Muse Spark 1.1", "Artificial Analysis", "Claude Fable 5", "GPT-5.6 Sol", "Grok 4.5", "GLM-5.2", "GPT-5.4"], "alternates": {"html": "https://wpnews.pro/news/muse-spark-1-1-meta-gains-8-intelligence-index-points-in-three-months", "markdown": "https://wpnews.pro/news/muse-spark-1-1-meta-gains-8-intelligence-index-points-in-three-months.md", "text": "https://wpnews.pro/news/muse-spark-1-1-meta-gains-8-intelligence-index-points-in-three-months.txt", "jsonld": "https://wpnews.pro/news/muse-spark-1-1-meta-gains-8-intelligence-index-points-in-three-months.jsonld"}}