References 685% CONFIDENCEOverall confidence: 85%How well the pin's source and references back up its dates.Weighted average of how firmly 6 references, the source included, support the pin's start and end times; a reference counts half as much for every 180 days older than the newestShow all pins at 75% confidence or better
The first entry is always the pin's source. Overall confidence is a weighted average of how firmly each reference supports the start and end times used above; a reference counts half as much for every 180 days older than the newest.
- [1]90%research.meta.ai/blog/introducing-muse-spark-meta-model-apiresearch.meta.ai· Posted Oct 12, 2026· Starts Jul 9, 2026 ✓· 23% of score
Meta AI Research's post 'Introducing Muse Spark 1.1' is dated July 9, 2026 and begins 'Today, we're excited to introduce Muse Spark 1.1'; TechCrunch[5] reported the launch the same day, while OpenRouter's[2] 16 July listing is when the router added it.
- [2]80%OpenRouter models API - meta/muse-spark-1.1 listingopenrouter.ai· Published Jul 16, 2026· 17% of score
Router listing 'Meta[1]: Muse Spark 1.1': created 2026-07-16, 1,048,576-token context, text, image, video and file input, $1.25 per 1 million input tokens, $4.25 per 1 million output tokens and $0.15 per 1 million cached input.
- [3]80%Meta's Muse Spark 1.1 outperforms GLM-5.2 in coding and costs slightly less - The Decoderthe-decoder.com· Published Jul 11, 2026· 16% of score
Independent comparison: coding index 71.3 against 68.8 for GLM-5.2 and 71.4 for GPT-5.6 Luna, 94M output tokens against 141M for GLM-5.2, $0.26 per task against $0.37, and a hallucination rate down from 73% to 38% because the model declines to answer more often.[1]
- [4]85%Muse Spark 1.1: Meta gains 8 Intelligence Index points in three months - Artificial Analysisartificialanalysis.ai· Published Jul 10, 2026· 16% of score
Independent benchmarks: 51 on the Intelligence Index (up 8 from Muse Spark 1.0's 43), Coding Index 59 to 71, GDPval-AA v2 1,144 to 1,376 Elo, hallucination rate 73% to 38%, about $0.26 per index task, 94M output tokens, 1M context up from 262k, $1.25 and $4.25 per 1 million tokens, about 114 tokens per second.[1]
- [5]85%Meta enters the crowded AI coding battle with Muse Spark 1.1 - TechCrunchtechcrunch.com· Published Jul 9, 2026· 16% of score
Same-day report by Lucas Ropek: Meta[1] released the model publicly on Thursday 9 July for agentic coding, priced at $1.25 and $4.25 per 1 million tokens in line with Claude Haiku 4.5 and GPT-5.6 Luna, with Zuckerberg calling it 'a strong agentic and coding model at a very low price' while Meta trails Anthropic and OpenAI.