Muse Spark 1.3 has six reasoning levels — are you budgeting them per agent step?
Suresh935 · reddit · 2026-11-14
Meta's Muse Spark 1.3 offers six reasoning effort levels on a 1,048,576-token shared context, with reasoning tokens billed as output even when unseen — making effort a per-step budget decision in agent loops. The author suggests low/medium for search/extraction, high for planning and final diff review, max only for repeatedly failing tests. Caveats: Meta's claim of 20% fewer tool calls and 25% fewer tokens vs 1.2 is internal-workload only; the Contributor variant trades lower price for training on your data; proxies like LiteLLM may drop reasoningeffort, so log reasoning tokens per call; a 1M window doesn't remove the need to summarize older steps.
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