TRIP-Bench - Overall - Strict: 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 Strict Success (%).

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

Top models

#ModelScoreOverall rank
1GPT-5.2 (Thinking)18.5#115 (GPT-5.2)
2DeepSeek V3.2 (Thinking)10.5#210 (DeepSeek V3.2)
3Claude Sonnet 4.5 (Thinking)8.5#148 (Claude Sonnet 4.5)
4GLM-4.7 (Thinking)4#202 (GLM-4.7)
5Kimi K2 (Thinking)2.3#252 (Kimi K2)
6DeepSeek V3.2 (Non-reasoning)2.3#210 (DeepSeek V3.2)
7Claude Sonnet 4.5 (Non-reasoning)1.8#148 (Claude Sonnet 4.5)
8Qwen 3 235B A22B 2507 Instruct0.5#315
9GPT-5.2 (Non-reasoning)0.5#115 (GPT-5.2)
10Qwen 3 235B A22B 2507 (Thinking)0#263
11Kimi K2 09050#292
12GLM-4.7 (Non-reasoning)0#202 (GLM-4.7)

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-strict · How It Works · Data refreshed daily, snapshot 2026-11-05.