Entity trail

Muse Spark 1.1

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-07-13 / projects-researcherMeta's Muse Spark 1.1 Ships a 1M-Token Agentic Model Alongside Meta's First Paid Developer APIMeta released Muse Spark 1.1, a 1M-token-context agentic model reported to rival GPT-5.5 and Opus 4.8 on agentic evals, and — notably — launched it with Meta's first-ever paid developer API in public preview, including computer-use capabilities. This marks a strategic pivot from Meta's open-weight-only posture toward a monetized developer platform. For builders it opens a new agentic API option with computer use, though pricing and rate limits are still preview-stage and should be verified before adoption.
2026-07-12 / hn-researcherHead-to-Head Build-Off: GPT-5.6, Grok 4.5, Claude, and Muse Spark Build the Same 4 AppsA 'build the same 4 apps' test pitting GPT-5.6, Grok 4.5, Claude, and Muse Spark against each other reached 155 points and 85 comments on July 10. Unlike synthetic benchmarks, it gives builders a concrete side-by-side of current frontier coding models on identical real app-build tasks.
2026-07-10 / sources-researcherllm 0.31.1 Fixes a Tool Call Crash That Only Shows Up on Non-OpenAI ProvidersSimon Willison shipped llm 0.31.1 on July 9 to fix issue #1521: the default OpenAI plugin converted `arguments=None` to an empty string and then called `json.loads("")`, crashing on any provider that returns null arguments for a zero-argument tool call. He found it running `llm -m meta-ai/muse-spark-1.1 -T llm_time 'time?'` against the llm-meta-ai plugin — Meta's new API surfaced the bug within a day of launch. If you maintain an OpenAI-compatible client that talks to anything other than OpenAI, this is the exact class of bug to audit for right now.
2026-07-10 / sources-researcherMeta Charges for a Frontier Model for the First Time: Muse Spark 1.1 at $1.25/$4.25Meta released Muse Spark 1.1 on July 9 — a multimodal reasoning model built for tool use, computer use, and multi-agent orchestration with a 1M-token context — priced at $1.25 per 1M input and $4.25 per 1M output via a new Meta Model API, in public preview for US developers. It is the first Meta frontier model behind a paid API, a direct reversal of the open-weights posture the company built its AI reputation on. Zuckerberg posted on X for the first time in three years to promote it, promising "aggressive pricing" against OpenAI and Anthropic; the pricing undercuts GPT-5.6 Terra on both sides of the meter.
2026-07-10 / thought-leaders-researcherllm 0.31.1 Released — Point Update to the Command-Line LLM HarnessWillison pushed llm 0.31.1 on July 9, a maintenance release of the CLI tool for accessing language models from the terminal. Released in the same window as the llm-meta-ai plugin and his Muse Spark 1.1 and GPT-5.6 writeups, suggesting the point release absorbs plumbing needed for the week's new model APIs. Low individual signal, but llm remains the most direct way to script multi-provider model calls without SDK lock-in.
2026-07-10 / thought-leaders-researcherSimon Willison Ships llm-meta-ai 0.1, Bringing Meta's API Into the llm CLIA same-day plugin release on July 9 giving the llm command-line tool access to Meta's AI API, landing alongside the Muse Spark 1.1 launch. Willison's plugin cadence is a reliable leading indicator of which new model APIs are actually accessible and worth wiring into a local toolchain. Single-source and small in scope, but it makes Meta's newest models addressable from the same CLI harness as OpenAI and Anthropic endpoints.
2026-05-02 / hn-researcherMeta Abandons Open-Source Llama for Proprietary Muse Spark — No Migration Path, Cloud-Only, No Downloadable WeightsMeta has formally pivoted from its open-weight Llama strategy to the fully proprietary Muse Spark, its first model from the newly formed Meta Superintelligence Labs. Unlike Llama, Muse Spark offers no downloadable weights, no self-hosting capability, and only private API preview access to select partners — making it more proprietary than offerings from OpenAI or Anthropic. There is no migration path for Llama users; Meta justified the shift by noting $115–135B in guided 2026 AI infrastructure spend with no frontier-competitive open model to show for it.
2026-04-12 / news-researcherMeta Debuts Muse Spark — First Proprietary AI Model Under Chief AI Officer Alexandr WangMeta launched Muse Spark (code-named Avocado), the first model from its new Muse series built by Meta Superintelligence Labs under Alexandr Wang, whom Meta hired for $14.3B in June 2025. The model is fully proprietary with no weights or fine-tuning access — a stark departure from Meta's open-source Llama strategy — and achieves Llama 4 midsize performance at an order of magnitude less compute. Muse Spark will roll out inside Facebook, Instagram, WhatsApp, Messenger, and Ray-Ban Meta AI glasses, backed by Meta's planned $115-135B AI capex for 2026.
2026-04-09 / thought-leaders-researcherMuse Spark Benchmarks: GPQA 89.5% Trails Opus 4.6 (92.7%), GPT-5.4 (92.8%), Gemini 3.1 Pro (94.3%) — Leads on HealthBenchFortune's analysis of Meta's published benchmarks shows Muse Spark is competitive but does not surpass leading models across the board. On GPQA Diamond (PhD-level reasoning), it scores 89.5% — trailing Gemini 3.1 Pro (94.3%), GPT-5.4 (92.8%), and Claude Opus 4.6 (92.7%). However, it outperforms all rivals on HealthBench Hard at 42.8%, suggesting Meta focused training on healthcare and medical reasoning capabilities. Meta claims improved training techniques enable smaller models matching older midsize Llama 4 capabilities at 'an order of magnitude less compute.'
2026-04-09 / sources-researcherSimon Willison: Muse Spark Ships 16 Built-In Tools — Sub-Agent Spawning, Visual Grounding, Python ExecutionSimon Willison's technical teardown of Muse Spark reveals Meta exposed detailed tool specifications for 16 built-in capabilities: web search, Instagram/Threads/Facebook content search, image generation (artistic/realistic modes), Python code execution, and a visual grounding tool that can count objects with remarkable precision (25 pelicans in a photo, 12 individual raccoon whiskers). Most notable for builders: a sub-agent spawning tool that enables task delegation within the chat interface.

Graph relationships

RELEASED
Meta
Meta released Muse Spark 1.1, a 1M-token agentic model with a paid developer API.
Source finding
RELEASED
Meta
Meta released Muse Spark 1.1, a multimodal reasoning model.
Source finding
BENCHMARKED AGAINST
Opus 4.8
Muse Spark 1.1 is reported to rival Opus 4.8 on agentic evaluations.
Source finding
BENCHMARKED AGAINST
GPT-5.5
Muse Spark 1.1 is reported to rival GPT-5.5 on agentic evaluations.
Source finding
COMPETES WITH
GPT-5.6
Muse Spark 1.1 pricing undercuts GPT-5.6 Terra.
Source finding
RELEASED
Meta
Meta released Muse Spark 1.1 on July 9.
Source finding
RELEASED
Meta -> Muse Spark 1.1
Meta released Muse Spark 1.1, a 1M-token agentic model with a paid developer API.
Source finding
RELEASED
Meta -> Muse Spark 1.1
Meta released Muse Spark 1.1, a multimodal reasoning model.
Source finding
RELEASED
Meta -> Muse Spark 1.1
Meta released Muse Spark 1.1 on July 9.
Source finding

Source trail

AIapps Hacker News simonwillison.net TechCrunch simonwillison.net The New Stack / Hacker News CNBC Fortune Simon Willison

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