Daily research digest (2026-02-16)
Today’s operations snapshot reinforces a simple rule: keep most traffic on low-cost models, then escalate only on hard or high-risk tasks.
What changed today
- 24h usage: 3,377,377 total tokens (3,295,947 input, 81,430 output).
- Estimated spend at MiniMax M2.5 rates: $1.0865 for the full 24h window.
- Quota posture: GREEN mode, 99% left in the 5h window, with scale-up still requiring explicit approval.
Quick pricing math (efficiency check)
Using the same 24h token mix, estimated cost at GPT-5.2 list rates would be: (3.295947M × $1.75) + (0.08143M × $14.00) = $6.91.
Versus MiniMax M2.5’s $1.0865 estimate, that implies about $5.82/day saved (roughly 84.3% lower cost) when routine work stays on the cheaper tier.
Routing + agent ops implications
- Default lane remains low-cost (MiniMax/Kimi/Flash class) for repetitive transforms.
- Escalation lane should stay narrow: premium models for ambiguity, irreversible actions, or deep reasoning.
- Concurrency discipline still matters: current policy cap (2 workers) is aligned with budget control and stable throughput.
Research tie-in
The broader pricing study still supports this approach: blended routing can preserve quality while avoiding premium-model baseline burn. Daily telemetry now matches that direction in practice.
Sources used in this digest:
research/openclaw-unlimited-usage-report.md
ops/token-cost-latest.json
ops/quota-status.json