Best LLMs for Customer Support (2026)

How we rank

Support bots prioritize τ-bench multiturn service scores, with BFCL fallback only when τ-bench is unavailable, after a cost gate removes high-throughput options.

1. Eligibility — Models with `function_calling` enabled, public list token pricing, and a cheapest public provider route under the support workload cost gate.
2. Primary ranking — τ-bench is the primary score; when retail and airline splits are both present, we average them. If τ-bench is unavailable, the row falls back to BFCL.
3. Cost gate — Rows above $25.00 per 1k conversations are excluded using the cheapest public provider route. The category-local workload is 4k input + 1k output tokens per turn across five turns; it does not change the global cost calculator.
4. Tie-breaks — When primary scores match, lower blended support cost wins, then confirmed `function_calling = 1`, then newer `release`.
5. Variant collapse — We keep one row per model family (`familySlug` + parameter tier). When headline scores tie within ±0.5 pt (±10 Elo on Chatbot Arena), we pick the canonical SKU by lowest tracked input price, then GA over preview or limited access, then newest `release`. A folded sibling within the benchmark noise band can show a "Tied within margin" chip on that score cell. This page also requires a public token-priced route that can be evaluated by the support cost gate.
6. Pricing — Support workloads are throughput-sensitive — compare batch/cache columns on provider pages.