Meta launches Muse Spark 1.3, tuned for agentic workflows and competitive coding

Muse Spark 1.3

Meta's Muse Spark 1.3 is built for agentic workflows: it handles long-horizon tasks, calls tools reliably, and asks for clarification on messy inputs. It's tuned for higher first-attempt coding accuracy and competes with frontier models on several coding evals. The model natively perceives video, images, and documents. Pricing: $1.25/M input tokens and $4.25/M output tokens for the standard tier; a contributor tier costs $0.10/M input. Both offer a 1M context window. The post doesn't spell out specific benchmark scores, only a chart.

Why it matters: Meta ships Muse Spark 1.3, targeting long-chain agent tool calling and first-attempt coding accuracy with clear pricing. A substantive model update from a major lab, but the post lacks benchmark data and technical specifics to back the 'competitive with top models' claim, so i...