Mistral
Mistral is named by 5 of 5 AI engines in 50 questions across 12 Segments.
Includes Mistral AI
Mentioned in 33/452 answers across 4 Segments on 4 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 | 3/15 | #2.5 ±0.7 | ChatGPT, Gemini |
| Use Open Weight Models (Please) Open-Weight Models | 5/15 | #3.0 ±1.4 | ChatGPT, Copilot |
| Is there any true open-source AI? Open-Weight Models | 8/25 | #4.3 ±2.1 | ChatGPT, Google AI Mode, Gemini, Copilot |
| Who are the most influential voices on Open vs closed models / open weights? Open-Weight Models | 8/55 | #4.3 ±0.6 | ChatGPT, Google AI Mode, Gemini |
| What is the safest AI to use? AI Safety | 5/20 | #5.3 ±2.3 | Google AI Mode, Gemini, Copilot |
| Who should I follow to learn about Small and on-device models? AI Infrastructure | 2/12 | #5.5 ±5.0 | Google AI Mode, Gemini |
| How to decide which AI model to use? Multimodal AI | 2/14 | #9.0 ±4.2 | Gemini, Copilot |
Which engines name it - and which do not
- Gemini6 questions
- ChatGPT4 questions
- Google AI Mode4 questions
- Copilot4 questions
- Perplexitynever named
Gemini names Mistral in 6 questions, ChatGPT names Mistral in 4 questions, Google AI Mode names Mistral in 4 questions and Copilot names Mistral in 4 questions. Perplexity has not named Mistral in any of these questions - that is where the ground is open.
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?3/15 · #2.5 ±0.7
- Use Open Weight Models (Please)5/15 · #3.0 ±1.4
- Is there any true open-source AI?8/25 · #4.3 ±2.1
Weakest
- How to decide which AI model to use?2/14 · #9.0 ±4.2
- Who should I follow to learn about Small and on-device models?2/12 · #5.5 ±5.0
- What is the safest AI to use?5/20 · #5.3 ±2.3
± is the spread of positions across answers. A wide spread means the ranking is unstable - which means it is winnable.
Source: ranking answers from 5 AI engines, first seen Aug 21, 2026, last seen Nov 5, 2026. This page is generated from observations only - it is not claimed or edited by Mistral.