# Sakana Fugu Ultra 在多模型编码测试中视觉效果最优，但成本为 GLM 5.2 的 17 倍

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-23 06:21
- AIHOT 分数：50
- AIHOT 链接：https://aihot.virxact.com/items/cmqpsuv5803ixslp5xxl7eoeu
- 原文链接：https://x.com/rohanpaul_ai/status/2069184080915386602

## AI 摘要

Sakana Fugu Ultra 是一个多智能体协调层，通过 OpenAI 兼容端点将子任务路由给不同模型。在 @atomic_chat_hq 的实时交易桌面编码测试中（要求构建完整前后端、实时 API 数据、暗色主题 UI），Fugu Ultra 生成了最丰富的多面板界面（含图表、状态标签等），效果接近 GLM 5.2，但成本达后者的 17 倍：Fugu Ultra 耗 22,225 tokens / $0.51，GLM 5.2 耗 13,677 tokens / $0.03。对比模型 Opus 4.8（15,802 t / $0.31）和 GPT-5.5（11,474 t / $0.26）在质量与成本平衡上表现更佳。

## 正文

Sakana Fugu Ultra just beat the other models on visual polish in a live trading-desk coding test， got close to GLM 5.2， but at 17x the cost.

Test was done on atomic【.】chat， a desktop app that runs LLMs locally.

Fugu produced the richest interface， with multiple panels， watchlists， charts， tape-style activity， status labels， and a more finished product feel.

To note that Fugu Ultra is an orchestration layer that assembles and routes subtasks across a pool of models through one OpenAI-compatible endpoint.

So Fugu is a learned coordinator model inside a multi-agent system.

When you send a prompt， Fugu decides whether to answer alone or hand pieces of the job to other models， then it gathers the outputs and produces one final response.

### 引用推文

> atomic.chat：Sakana Fugu surprisingly performed near GLM 5.2 level but 17× more expensive! We gave the same prompt to 4 models: build a complete live Trader Desk with both f...