Cost Per Deep-Dive Run by Provider

Assumes ~2.5M total tokens per deep-dive (1.5M input, 1.0M output). Caching at 70% hit rate for providers that support it.

LLM Pricing Reference

ModelProviderInput/MTokOutput/MTokCached InputQualityUse Case
Claude Opus 4.6Anthropic$15.0$75.0$1.5HighestDeep analysis
Claude Sonnet 4.6Anthropic$3.0$15.0$0.3HighStandard analysis
GPT-5OpenAI$2.5$10.0N/AHighReasoning tasks
GPT-5.2OpenAI$2.5$14.0N/AHighestAllocation/fund prompts
GPT-4.1 MiniOpenAI$0.4$1.6$0.1LowTriage/filtering
Gemini Flash 3.0Google$0.1$0.4$0.02LowTriage/filtering
Llama 4 ScoutSelf-hosted$0.0$0.0$0.0MediumTriage (if self-hosted)

Cadence Scenarios

Three operating modes with different cost profiles. The hybrid approach is recommended: cheap triage runs daily, expensive deep-dives only when triggered.

Full Deep-dive Per Event

$30-100/mo
$15-25/event x 2-4 events/month
Every geopolitical event gets the full 12-agent treatment. Highest quality, highest cost.

Triage Only

$15-60/mo
$0.50-2/day continuous scanning
RSS scanning + LLM classification only. Alerts but no deep analysis. Cheapest option.
Budget ceiling: At $140K AUM, max viable LLM spend is ~$50/day ($1,500/month). All proposed phases are well within this ceiling. Even the most aggressive scenario (Phase 4 autonomous at $150/month) uses only 10% of the budget ceiling.

Monthly Cost Projection

Step-function cost growth across 4 implementation phases. Red dashed line = $50/day budget ceiling ($1,500/month). All phases well below.