Is claude-sonnet-4.6-high good at Customer Support?
claude-sonnet-4.6-high ranks #20 of 43 for Customer Support — strong. The top pick for this task is gemini-3.1-pro-preview-low.
claude-sonnet-4.6-high on each Customer Support sub-task
| Policy Boundaries | 91.3/100 | #31 |
| Escalation and Incident Test | 86.2/100 | #15 |
| Policy Boundary Test | 86.0/100 | #12 |
| Help Content Test | 81.4/100 | #25 |
| Escalation & Handoff | 78.0/100 | #9 |
| Basic Support Reply Test | 72.6/100 | #21 |
| Resolution | 71.5/100 | #30 |
| De-escalation | 71.5/100 | #14 |
Real examples, graded
WeakLogin lockout (Lumen) 40/100
“The model violates the hard gate by inventing policy. It fabricates a rule that additional login attempts extend the lockout window, and invents a specific multi-step identity verification process not found in the provided facts. Because of these unauthorized additions, the policy grounding score is severely penalized.”
WeakVIP customer escalation 55/100
“The model adopts an excellent executive tone and formats the update clearly. However, it commits a major failure by inventing commitments (promising a root-cause summary and resolution timeline in 30 minutes), which violates the negative constraints. It also directly contradicts its own internal note by promising a timeline in the email body while forbidding it in the note.”
WeakChurn rescue 55/100
“The response is highly empathetic, owns the issue, and effectively uses the provided facts to attempt a churn rescue. However, it violates negative constraints by inventing a commitment (a technical specialist) and a specific fact (three permission settings). It also includes an AI meta-note at the end, meaning the output is not strictly ready to use.”
Frequently asked
Is claude-sonnet-4.6-high good at Customer Support?
claude-sonnet-4.6-high ranks #20 of 43 models we tested for Customer Support, scoring strong.
What is claude-sonnet-4.6-high's strongest Customer Support skill?
Its best sub-task here is Policy Boundaries.
This page is Spring Prompt, running
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals