Meta has launched Muse Spark 1.3, a coding-focused AI model with a one-million-token context window and support for long-horizon, agentic workflows. Standard API pricing is $1.25 per million input tokens and $4.25 per million output tokens, compared with $0.10 and $0.20, respectively, for the Contributor tier, which requires customers to allow Meta to use prompts, responses and usage patterns in its training pipeline. Contributor cached-input pricing falls from $0.15 to $0.002 per million tokens, but throughput is limited to 60 requests per minute versus 3,000 for standard customers. The model is available through Muse Code, Meta's API and OpenRouter. Meta has not decided whether to release its weights, although it still plans to open-source Muse Spark 1.2's weights. The pricing strategy, first tested with Muse Spark 1.2 in August 2026, seeks coding data that Meta's consumer platforms generate less often and increases price competition with OpenAI and Anthropic.