TRIP-Bench - Overall - Loose: leaderboard

Evaluates long-horizon interactive travel-planning agents on TRIP-Bench with 18 tools. Both scoring modes require zero feasibility failures. Loose success permits at most two planning-soundness failures and one user-constraint failure; strict success requires zero failures in all three groups. Explicit thinking and non-thinking model labels and dated checkpoints are retained. These are two metrics of the same evaluated task population. This series reports Loose Success (%).

Metric: Loose Success (%). Source: arxiv.org. Saturation forecast: Around February 2027. 16 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.2 (Thinking)45#115 (GPT-5.2)
2DeepSeek V3.2 (Thinking)40#210 (DeepSeek V3.2)
3Claude Sonnet 4.5 (Thinking)32#148 (Claude Sonnet 4.5)
4GLM-4.7 (Thinking)20.3#202 (GLM-4.7)
5DeepSeek V3.2 (Non-reasoning)18.5#210 (DeepSeek V3.2)
6Claude Sonnet 4.5 (Non-reasoning)17.3#148 (Claude Sonnet 4.5)
7GLM-4.7 (Non-reasoning)14.8#202 (GLM-4.7)
8GPT-5.2 (Non-reasoning)13.3#115 (GPT-5.2)
9Kimi K2 (Thinking)10.8#252 (Kimi K2)
10Qwen 3 235B A22B 2507 Instruct5.8#315
11Kimi K2 09053.3#292
12Qwen 3 235B A22B 2507 (Thinking)0#263

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=trip-bench-overall-loose · How It Works · Data refreshed daily, snapshot 2026-11-05.