TAU-bench evaluates AI agents in realistic enterprise scenarios requiring multi-turn tool use, database interactions, and policy adherence. It tests across retail and airline domains, measuring an agent's ability to reliably complete customer service tasks while following complex business rules.
BenchLM is tracking TAU-bench in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
BenchLM mirrors the published tracked score view for TAU-bench. Claude Mythos Preview leads the public snapshot at 89.2% , followed by Claude Sonnet 4.6 (87.5%) and Claude Sonnet 4.5 (86.2%). BenchLM does not use these results to rank models overall.
Claude Mythos Preview
Anthropic
claude-mythos-preview
Claude Sonnet 4.6
Anthropic
claude-sonnet-4-6
Claude Sonnet 4.5
Anthropic
claude-sonnet-4-5
The published TAU-bench snapshot is tightly clustered at the top: Claude Mythos Preview sits at 89.2%, while the third row is only 3.0 points behind. The broader top-10 spread is 9.5 points, so many of the published scores sit in a relatively narrow band.
38 models have been evaluated on TAU-bench. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. Within that category, TAU-bench contributes 10% of the category score, so strong performance here directly affects a model's overall ranking.
Version
TAU-bench 2024
Refresh cadence
Annual
Staleness state
Refreshing
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
TAU-bench evaluates AI agents in realistic enterprise scenarios requiring multi-turn tool use, database interactions, and policy adherence. It tests across retail and airline domains, measuring an agent's ability to reliably complete customer service tasks while following complex business rules.
Claude Mythos Preview currently leads the published TAU-bench snapshot with a tracked score of 89.2%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
38 AI models are included in BenchLM's mirrored TAU-bench snapshot, based on the public leaderboard captured on April 7, 2026.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.