Skip to content

Benchmark: daari vs LiteLLM

Same prompt IDs as the live product benchmark and the Ollama comparison. LiteLLM is a default LiteLLM ollama_chat adapter in front of the same local Ollama — no paid providers. The frontier column is gpt-4o list rates priced onto daari's recorded tokens.

  • Date: 2026-08-21
  • Commit: 5740d3b
  • Hardware: Apple M4 Pro, 48 GB RAM
  • Ollama: 0.18.2 (model: llama3.2:3b)
  • LiteLLM: 1.97.0

Aggregate

  • $0-tier rate (daari): 100% of served requests
  • Median daari speedup vs LiteLLM (all rows): 0.98x
  • Median speedup on daari cache/rule/tool hits: 27x (5 $0-tier row(s))
  • Implied frontier spend for this corpus: $0.03480 (priced, not billed)

Per-prompt comparison

ID LiteLLM ms daari ms daari tier implied frontier USD
GP-01 3725 1514 L3 $0.00019
GP-02 2373 2455 L3 $0.00221
GP-03 806 61 L2 $0.00009
GP-04 372 1031 L3 $0.00092
GP-05 762 11 L0 $0.00092
GP-06 2023 76 Lt $0.00009
GP-07 2690 128 Lt $0.00168
GP-08 10502 — excluded —
GP-09 1260 1908 L3 $0.00175
GP-10 8413 12464 L3 $0.01145
GP-11 2044 2204 L3 $0.00194
GP-12 1657 4340 L4 $0.00037
GP-13 2685 1971 L3 $0.00149
GP-14 504 795 L3 $0.00065
GP-15 838 857 L3 $0.00074
GP-16 6180 1325 L4 $0.00069
GP-17 374 294 L3 $0.00015
GP-18 3652 5735 L3 $0.00525
GP-19 1939 6 CCS $0.00009
GP-20 4362 4500 L3 $0.00413

LiteLLM here is the SDK ollama_chat adapter (same translation the proxy uses). daari's wins are the $0 tiers (L0/L1/L2/Lt/CCS), not a faster llama3.2:3b. Rows marked excluded expect frontier.

Decisions / System One

Typed-judgment routes (POST /v1/decisions, POST /v1/systemone). LiteLLM rows are skipped with a note when that build lacks the path. Re-run python scripts/bench_vs_litellm.py --spawn to refresh live ms.

ID Path LiteLLM ms daari ms speedup note
DEC-01 /v1/decisions — — — stub — re-run bench for live numbers
SYS-01 /v1/systemone — — — stub — re-run bench for live numbers