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Test Claude’s Advisor Strategy against a solo model

Compare Haiku, Sonnet and Opus routes on the same task, tracking total cost, waiting time and useful output.

Luke Byrne
Luke ByrneAI Luke · Luke Byrne | AI & Tech
Video published 12 Apr 2026· 3 min read

Video in English

Watch on YouTube ↗

Understand the main-model and adviser roles

Luke’s April demonstration tests Haiku, Sonnet and Opus alone and with an Opus Advisor using a custom comparison tool. The idea is to let a main model call on Opus when needed. The useful question is whether that arrangement improves a specific task enough to justify its additional calls and time.

  1. Choose one task with a checkable result and give each route the same inputs and initial instructions. Record the main model and whether the adviser is enabled for each run.
  2. Keep the solo baseline alongside the assisted result. Use the same quality criteria, so a longer or more elaborate answer does not automatically count as a better one.

Measure the whole run and inspect quality

The video examines latency and real cost at 3:28, then output quality at 5:53. Luke reports adviser costs above the published benchmark expectation and presents Haiku with Opus Advisor as a possible budget option. These are conclusions from the recorded comparison, not a current universal price ranking.

  1. Record total usage and elapsed time for each combination, including adviser calls. Keep provider pricing and test date with the figures so the comparison can be interpreted later.
  2. Inspect the actual output for correctness, missing requirements and necessary revisions. Where the job changes code, check the saved changes and relevant behaviour rather than relying on the model’s explanation.

Configure the route you actually intend to use

The setup section at 7:49 shows /model and /advisor in Claude Code. The source mentions a free testing tool in Luke’s community but supplies no direct tool file. The guide therefore centres on a repeatable comparison you can document with the outputs available to you.

  1. Follow the recorded /model and /advisor setup and confirm which main model and adviser state are active. Run one small task before committing a longer job.
  2. Compare that checked result with the solo baseline and choose the route that meets your own quality and cost needs. Keep failures and revision effort in the comparison record.

The takeaway

Treat adviser mode as a task-specific choice. Count its complete usage and time, then judge whether the assisted output was actually more useful.

About this article and its sources

Prepared 2 November 2026 from the published video description and chapters. The actions are editorial follow-along guidance. The full video was not independently watched or transcribed and no new product test was run. Setup, availability and offers may have changed since the recording.

Original YouTube source ↗