Independent benchmark aggregator llm-stats.com assigns Muse Spark 1.3 an LLM Stats Score of 55.4 at a blended price of $0.10 per million tokens, placing it between Nemotron 3.5 Lightning (55.0 score, $0.057) and Claude Fable 5.1 (57.0 score, $11.9) on its cost-efficiency plot. The model ranks in the top 2% for Tool Cal Specific benchmark results cited from research.meta.ai include a GDPval-AA Elo of 1754/3000 on the Artificial Analysis Stirrup agentic harness, and an MRCR v2 8-needle score of 0.98/1 in both the 256K–512K and 512K–1M context ranges, indicating strong long-context retrieval performance consistent with the 1M token wind

BenchLM profiles Muse Spark 1.3 as a proprietary reasoning model released on September 2, 2026, with an API model ID of "muse-spark-1.3", a 1M-token context window, multimodal inputs (text, image, video, document), and text output, attributing these specs to a "Meta Muse Spark 1.3 model page." The page is explicitly la For pricing, BenchLM lists $1.25 per million input tokens and $4.25 per million output tokens, with $0.15 cached input and a $2.75 blended figure, all sourced from upstream tracking pages rather than a Meta rate card — consistent with the third-party-sourced pricing flagged in the aireleasetracker excerpt. Fields such

Meta released Muse Spark 1.3 on Wednesday, September 2, 2026, as an update that the company says significantly improves performance in coding and agentic tasks. In an interview with Axios, Meta AI chief Alexandr Wang described the model as "very competitive with frontier models" and tied the improvements to upcoming Me For developers, the practical signal in this Axios article is the explicit Meta-attributed framing of Muse Spark 1.3 as a coding- and agentic-focused step, with Wang directly linking the release to Mark Zuckerberg's stated personal-agent ambitions. No API identifiers, pricing, context window, or benchmark figures appea

Meta's Muse Spark 1.3 is now available on Vercel AI Gateway in both standard and contributor pricing tiers, announced via Vercel's changelog on 2 September 2026. The model offers a 1M token context window with text, image, and PDF input support, and is positioned as an upgrade over prior Muse Spark releases with improv Pricing is unchanged from Muse Spark 1.2: $1.25 per million input tokens, $4.25 per million output tokens, and $0.15 per million cached input tokens for the standard tier, with a contributor tier at $0.10/$0.20/$0.002 that allows Meta to use inputs and outputs for training. Developers can call it via model name `meta/m

Muse Spark 1.3 was released by Meta on Wednesday, September 2, 2026, arriving 23 days after Muse Glimmer, and is documented on aireleasetracker.com as a proprietary Meta model with a 1M-token context window. The supplied page exposes benchmark coverage across DeepSWE 1.1, SWEAtlas CodeBase QnA, JobBench, DeepSearchQA, For practical evaluation, aireleasetracker also surfaces a pricing row of $1.25 per million input tokens and $4.25 per million output tokens, but it flags these rates as fetched from openrouter.ai on September 3, 2026 rather than from Meta's own list price, and the provider cell in the excerpt references Meta as the en