DeepSeek
DeepSeek is named by 5 of 5 AI engines in 117 questions across 32 Segments.
Mentioned in 52/427 answers across 3 Segments on 5 engines
Where it is mentioned
| Question | Mentions | Avg position | Engines |
|---|---|---|---|
| Open Source LLMs Caught Up in 2026: So Why Are Companies Still Paying for AI? Open-Weight Models | 7/15 | #2.0 ±1.7 | ChatGPT, Gemini, Copilot |
| Use Open Weight Models (Please) Open-Weight Models | 6/15 | #3.0 ±1.0 | ChatGPT, Google AI Mode, Gemini |
| What are the top Open vs closed models / open weights tools in 2026? Open-Weight Models | 7/15 | #3.2 ±2.7 | ChatGPT, Google AI Mode, Gemini, Perplexity, Copilot |
| Is there any true open-source AI? Open-Weight Models | 7/25 | #3.3 ±0.6 | ChatGPT, Google AI Mode, Gemini |
| Who are the most influential voices on Open vs closed models / open weights? Open-Weight Models | 11/55 | #3.4 ±1.3 | ChatGPT, Google AI Mode, Gemini, Perplexity, Copilot |
| Which LLM model is best for fine-tuning? Fine-Tuning | 4/10 | #4.0 | ChatGPT, Google AI Mode |
| What is the best open weight reasoning model? Open-Weight Models | 2/20 | #4.0 ±2.8 | Gemini, Perplexity |
| What are the 5 most popular AI tools? AI Memory | 8/30 | #4.7 ±0.6 | ChatGPT, Google AI Mode, Perplexity |
Which engines name it - and which do not
- ChatGPT7 questions
- Google AI Mode6 questions
- Gemini6 questions
- Perplexity4 questions
- Copilot3 questions
ChatGPT names DeepSeek in 7 questions, Google AI Mode names DeepSeek in 6 questions, Gemini names DeepSeek in 6 questions, Perplexity names DeepSeek in 4 questions and Copilot names DeepSeek in 3 questions.
Counted from the questions above. A question may not have run on every engine.
Where it is strongest and weakest
Strongest
- Open Source LLMs Caught Up in 2026: So Why Are Companies Still Paying for AI?7/15 · #2.0 ±1.7
- Use Open Weight Models (Please)6/15 · #3.0 ±1.0
- What are the top Open vs closed models / open weights tools in 2026?7/15 · #3.2 ±2.7
Weakest
- What are the 5 most popular AI tools?8/30 · #4.7 ±0.6
- What is the best open weight reasoning model?2/20 · #4.0 ±2.8
- Which LLM model is best for fine-tuning?4/10 · #4.0 ±0.0
± is the spread of positions across answers. A wide spread means the ranking is unstable - which means it is winnable.
Spelling variants
Engines spell this brand 3 ways. All of them are counted on this page as DeepSeek.
- DeepSeek
- DeepSeek V3.1 Terminus
- DeepSeek V4
Source: ranking answers from 5 AI engines, first seen Aug 7, 2026, last seen Nov 5, 2026. This page is generated from observations only - it is not claimed or edited by DeepSeek.