AI Deep Research Model Benchmark & Cost Matrix K2.6 Updated

Presets:
Query Parameters
Multi-hop Search Depth 5 steps
Synthesis Breadth 4 areas
Max Budget Per Query $2.00
Top Recommendation
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
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