Muse Spark 1.3 now available on AI Gateway
Muse Spark 1.3 gives coding agents a 1M-token, multimodal model through Vercel, with a cheaper contributor tier that permits Meta to train on submitted inputs and outputs.
Meta’s **Muse Spark 1.3** is available through Vercel AI Gateway with a **1M-token context window** and text, image, and PDF input. Vercel says it uses fewer coding turns and produces less filler than its predecessor.
Builders can select meta/muse-spark-1.3 in Claude Code, Codex, Cursor, and other connected agents. The contributor tier uses the same model and drops per-million-token rates to **$0.10 input and $0.20 output**, versus $1.25 and $4.25 on the standard tier.
Meta’s **Muse Spark 1.3** is available through Vercel AI Gateway with a **1M-token context window** and text, image, and PDF input. Vercel says it uses fewer coding turns and produces less filler than its predecessor. Builders can select meta/muse-spark-1.3 in Claude Code, Codex, Cursor, and other connected agents. The contributor tier uses the same model and drops per-million-token rates to **$0.10 input and $0.20 output**, versus $1.25 and $4.25 on the standard tier. The discount carries a data tradeoff: Meta may use contributor-tier inputs and outputs for model training. The material provides no benchmark results for the claimed coding improvements, and both tiers retain Muse Spark 1.2 pricing.
Muse Spark 1.3 replaces a purely capability-oriented 1.2 signal with a concrete selection tradeoff: standard pricing is unchanged, while a much cheaper contributor tier permits training on inputs and outputs. Its claimed reduction in turns and filler remains unverified, so the new version is best treated as a workload test whose cost advantage must be weighed against data policy.