# Pareto 26.9 混合模型智能体评测并列第一

- 来源：elvis (@omarsar0)
- 发布时间：2026-09-25 03:05
- AIHOT 分数：44
- AIHOT 链接：https://aihot.news/items/cmufwpu7i032hrogvz718i543
- 原文链接：https://x.com/omarsar0/status/2103199158207484164

## AI 摘要

Pareto 26.9 通过将请求分发至多个前沿与开源模型并保留最佳答案，在 30 项智能体任务评测中与 GPT-6 Astra 并列第一，每成功任务成本约为后者 1/3，且完成任务速度快于 DeepSeek V4 Pro 和 GLM 5.3 Flash。同一评测中，GPT-6 Sol 得分追平 Opus 5.5，速度更快，每成功任务成本约为其 1/4。

## 正文

Interesting results here. This is why I expect more agent workloads to run on blended models.

Pareto 26.9 from @TheUnbiasedCo sends requests to several frontier and open models and keeps the best answer.

In the new eval of 30 agent tasks, Pareto tied GPT-6 Astra for first place at about 1/3 the cost per successful task.

It also finished tasks faster than DeepSeek V4 Pro and GLM 5.3 Flash.

### 引用推文

> Composio：We tested 6 AI models on 30 challenging agent tasks: GPT-6 Astra, Opus 5.5, GPT-6 Sol, Pareto 26.9, DeepSeek V4 Pro, and GLM 5.3 Flash. Sol matched Opus’s score...