Muse Spark 1.2 is among the most cost-efficient models at its intelligence…
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Muse Spark 1.2 is among the most cost-efficient models at its intelligence level: $0.40 per Intelligence Index task at Meta's $1.25/$4.25 per 1M token pricing. That compares to $0.51 for GPT-5.6 Terra (max), $0.86 for Kimi K3 (max), and $1.18 for GPT-5.5 (xhigh) - with Grok 4.5 (high, $0.37) and GPT-5.6 Sol (medium, $0.39) the only cheaper models in its intelligence cluster. The step up from Muse Spark 1.1 ($0.29 per task) comes at unchanged per-token pricing and is driven by higher token usage per task, with input up ~53% and output up ~36%, especially concentrated in GDPval-AA v2
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
- model routing — Sending each request to a model chosen by the difficulty of the task, rather than using one model for everything.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Per-task cost at a given intelligence level is the number that actually decides in production systems, and it is rarely published this directly.
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