Mistral AI
also referred to as: mistral
includes Mistral Large
19 statements across 4 episodes · 15 bullish · 0 bearish · 5 people on the record · first statement Jan 11, 2024 by Nathan Lambert · said 111 times in 34 episodes since 2023 · across every show →
Mentions by year, the whole family
brought up most by Alessio Fanelli (17), Shawn Wang (13), Pratik Bhavsar (4), Dylan Patel (4), Guillaume Lample (3), Andrew Feldman (3), Elie Bakouch (2), Barak Lenz (2)
tap a year for its mentions
2026 28 mentions in 5 episodes 6 per episode
- Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
- The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- every mention in 2026, scene by scene →
2025 23 mentions in 10 episodes 2 per episode
- ⚡️Ranking Agentic LLMs — Pratik Bhavsar, Galileo
- Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- ⚡️Raising $1.1b to build the fastest LLM Chips on Earth — Andrew Feldman, Cerebras
- Information Theory for Language Models: Jack Morris
- 2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
- Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21
- [State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv
- 2 more episodes that year, every mention in 2025 →
2024 54 mentions in 16 episodes 3 per episode
- The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- Best of 2024: Open Models [LS LIVE! at NeurIPS 2024]
- Agents @ Work: Lindy.ai (with live demo!)
- A Brief History of the Open Source AI Hacker - with Ben Firshman of Replicate
- Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- How to train a Million Context LLM — with Mark Huang of Gradient.ai
- This World Does Not Exist — Joscha Bach, Karan Malhotra, Rob Haisfield (WorldSim, WebSim, Liquid AI)
- 8 more episodes that year, every mention in 2024 →
Everything said about Mistral AI, oldest first
Jan 11, 2024 positive
Lambert: DPO Has Become the Standard Release Expectation for Open-Source LLMs
“I think DPO releases are kind of becoming expected because Mistral released a DPO model as well. I think the slide after this is just like, there's a ton. It's like Intel releases DPO models, Stability releases DPO models. At some point, you just have to accep…”
Oct 1, 2025 positive
Oct 20, 2025 positive
Bakouch: Hugging Face plans to train an MoE model soon
“For example, we tried we are training MOE currently at TargetFace. I mean, we'll train soon. We start the training soon. And we tried with Megatron and we benchmarked, like, for example, the Mistral architecture with the Queen's three this one.”
Mar 30, 2026 bullish
Mar 30, 2026 positive
Reddy: Mistral reduces flow-matching audio inference to 16 steps
“When you have a depth transformer, if you have K tokens, you need to do K autoregressive steps, right? Even though it's a small thing, it's like K steps, which is very latency heavy with flow matching. We were able to cut it down significantly, so we are able …”
Mar 30, 2026 neutral
Reddy: Voxtral TTS processes audio at 12.5 Hz, enabling 30-minute contexts
“So the model processes audio at 12.5 Hertz. So one second maps to like, Full point by tokens. So I think one minute is like seven pointy tokens. So you can get like up to 10 minutes in like eight K context window and get half an hour and 30 K context window.”
Mar 30, 2026 positive
Mar 30, 2026 neutral
Mar 30, 2026 bullish
Lample: Mistral plans a phased approach to full-duplex audio models
“Ultimately what we want to do is to be this, Full duplex model, but we are not going to start this, start there directly. I think it's some approach that people are doing, but. Just to confirm, full duplex means it can speak while I'm speaking, or? Okay. Yeah,…”
Mar 30, 2026
Reddy: Audio AI has no winning architecture yet
“One more meta point is unlike text, even in vision, I think this is true, but in audio, it's definitely true. There is no winner model yet. There is no, okay, this is the way you do things. It's still evolving. I think people are still iterating and figuring o…”
Mar 30, 2026 positive
Lample: Mistral develops specialized single-capability models before merging them
“The way we kind of do things internally, that we have like one team, focus on one capability, build one model, and then when it's mature enough, we decide to merge this into the Mixture. So, but hey, here's, it was the first time we basically merged all of thi…”
Mar 30, 2026 bullish
Mar 30, 2026 bullish
Reddy: Continuous flow matching outperforms discrete audio tokens for speech generation
“So the thing we did differently is instead of having this autoregressive K step prediction, we have a flow matching model. Instead of modeling this as a discrete token set, we trained the codec to be both discrete and continuous to have this flexibility. So we…”
Mar 30, 2026
Reddy: Mistral chose autoregressive TTS to enable real-time streaming voice agents
“One of the main applications is voice agents and we want real time streaming and that's the use case. That's not the only use case, but that's one of the primary use cases we want to get to. So we pick the autoregressive approach for that.”
Mar 30, 2026 positive
Reddy: Voxtral TTS is a 3B model based on the Ministral architecture
“It's it came out with such good quality, and Guillaume was mentioning, yeah, it's a three B model it's based off of the ministral model that we actually released just a few months back, and insert trunk, and it mainly meant for like the TTS stuff, but they nee…”
Mar 30, 2026 bullish
Lample: Voxtral TTS matches leading models at a fraction of cost
“So we support nine languages and this is a pretty small model a three-dimensional model, so very fast, and also state-ups, yeah, very equal. Performed at the same level of the best model, but it's Much more efficient in terms of cost, and also much, in terms o…”
Mar 30, 2026 positive
Mar 30, 2026 positive
Lample: Specialized AI models are more cost-effective than monolithic models
“That's why we can actually use models audio, but also like OCRs that are like really, really good at that, and that will be much more cost effective than a general model. That will contain a lot of capabilities you don't really need.”