问题 · 2026-05-23
两个模型都确认自己是基于深度学习的大语言模型助手,但对具体身份的透露程度有所不同。
两个模型都是基于先进深度学习架构构建的通用对话系统。第一个模型基于变换器架构,通过在海量文本数据上预训练,学习了语言的语法、逻辑和事实知识,能够处理多种复杂指令。第二个模型同样擅长自然语言理解、推理和文本生成,面向问答、写作、翻译和分析任务。两者都强调自身在不断优化迭代,以提升回答的准确性和实用性。两个模型都对透露具体的内部版本号或专有技术细节持保留态度,但都表示愿意在用户需要时进一步说明能力边界。
Multi-AI Truth Synthesis Engine
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| Feature | Free | Plus | Pro |
|---|---|---|---|
| Usage | |||
| Monthly credits | 300 | 3,000 | 13,200 |
| Privacy | |||
| Private questions | — | ✓ | ✓ |
| Citations in articles | — | ✓ | ✓ |
| Answer length | |||
| Short | ✓ | ✓ | ✓ |
| Medium | — | ✓ | ✓ |
| Long | — | ✓ | ✓ |
| Custom length (write mode) | — | ✓ | ✓ |
| AI Models | |||
| Presets available | Fast | Fast, Balanced & Thinking | Fast, Balanced & Thinking |
| Custom model set | — | ✓ | ✓ |
| Developer | |||
| API access | — | — | ✓ |
| Webhook support | — | — | ✓ |
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| Feature | Starter | Essential | Premium |
|---|---|---|---|
| Usage | |||
| Queries | Unlimited | Unlimited | Unlimited |
| AI Panels | |||
| 3-AI panel | ✓ | ✓ | ✓ |
| 4-AI panel | — | ✓ | ✓ |
| 5-AI panel | — | — | ✓ |
| Custom panel (pick models) | — | — | ✓ |
| Answer length | |||
| Short | ✓ | ✓ | ✓ |
| Medium | — | ✓ | ✓ |
| Long | — | — | ✓ |
| Custom | — | — | ✓ |
| Privacy | |||
| Public results | ✓ | ✓ | ✓ |
| Private results | — | ✓ | ✓ |
| Queue priority | |||
| Queue | Standard | Priority | Super |