SAGE (Service Agent) - Logistics Delivery: leaderboard
Metric: Overall Assessment Score (0-100), 0.8 x logical compliance + 0.2 conversational quality, in the Logistics Delivery scenario (logistics exceptions such as lost or delayed parcels and insurance claims), over SAGE customer-service dialogues: standard operating procedures formalized as dialogue graphs, an adversarial simulated user with varied intents and personas, turns 1, 5, 10, 15 and the final turn scored; three unnamed judge LLMs (majority vote and mean) plus a deterministic rule engine produce the reference; closed models through their APIs, open models served with vLLM; 0-100 scale; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 27 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.5 | 71.25 |
| 2 | DeepSeek V3.2 | 70.87 |
| 3 | MiniMax-M2.1 | 68.54 |
| 4 | Gemini 3 Pro (Preview) | 68.05 |
| 5 | Claude Sonnet 4.5 | 67.3 |
| 6 | Gemini 3 Flash (Preview) | 67.1 |
| 7 | GLM-4.7 | 66.5 |
| 8 | DeepSeek R1 | 65.75 |
| 9 | Kimi K2.5 | 65.74 |
| 10 | Gemini 2.5 Pro | 64.92 |
| 11 | Qwen 3 235B A22B | 64.77 |
| 12 | Seed 1.8 | 64.01 |
| 13 | Qwen 2.5 72B Instruct | 63.16 |
| 14 | Qwen 2.5 32B Instruct | 62.99 |
| 15 | GPT-4.1 | 62.69 |
Interactive version: theaggregate.ai/benchmark?slug=sage-service-agent-logistics-delivery · How It Works · Data refreshed daily, snapshot 2026-10-07.