Query Parameters
Multi-hop Search Depth
5 steps
Synthesis Breadth
4 areas
Max Budget Per Query
$2.00
Top Recommendation
Kimi K2.6 Deep Research
Optimal balance of multi-hop search depth (94 score) and competitive query cost ($0.08).
Comparative Performance Matrix
| Model | Reasoning Score | Query Cost (USD) | Search Invocations | Latency (s) | Grounding Density |
|---|
Cost vs. Accuracy Scatter
Multi-Metric Capabilities
Canonical Benchmark Proof Handoff
Recommended Model Target: Kimi K2.6 Deep Research
Calculated Kimi Cost: $0.08 | OpenAI Cost: $0.50
Calculated Gemini Cost: $0.15 | Perplexity Cost: $0.20
Kimi Reasoning Score: 94 | Perplexity Score: 82