⚡ Why this matters

• Data-for-discount is a new pricing axis for frontier models.
• A 92% discount will tempt startups to trade user prompts for margin.
• Coding agents are now the battleground - every lab ships its own harness.

🔍 What happened

• Meta released Muse Spark 1.2 and Muse Code, its first terminal coding agent, on August 5.
• The model scores 82.9% on Terminal-Bench 2.1, up from 76.2% for Spark 1.1.
• Standard pricing: $1.25 per million input tokens, $4.25 output - unchanged from 1.1.
• The contributor tier drops that to $0.10 and $0.20 if Meta may train on your prompts and completions.
• Model and agent were co-trained so the pair performs best together.

💬 Smart takes

• Simon Willison, AI blogger: "Yet more evidence that the most important characteristic of any model these days is long-sequence agentic tool calling."
• Meta: the model was "extensively trained on long-horizon coding tasks, including whole-repository generation."
• Skeptic: enterprises with sensitive codebases cannot touch the contributor tier - the discount targets exactly the users whose data Meta wants most.

🧭 Where this goes

1. Likelyat least one other lab ships a train-on-my-data discount tier within six months.
2. Likelyenterprise procurement teams write explicit bans on contributor-tier model IDs.
3. Possibleregulators examine whether a 92% discount makes data consent meaningful.
4. Wild Cardcontributor pricing becomes the free tier of the agent era - pay with data or pay with cash.