PeopleofSuperintelligence

Researcher

Pravesh Agrawal

Pravesh Agrawal is an AI researcher whose work spans multimodal models, reasoning, coding agents, robotics and speech. His coauthored works include Pixtral 12B, Magistral, Devstral, Ministral 3, Voxtral Realtime, Voxtral TTS and Robostral Navigate. Before joining Mistral AI, he worked as a Software Engineer at Meta and a Software Development Engineer at Microsoft. Since August 2024, he is an AI Research Scientist at Mistral AI.

Works
6
Citations
6
h-index
2

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2024

    Pixtral 12B

    In 2024, he coauthors Pixtral 12B, a 12-billion-parameter multimodal language model trained to understand natural images and documents. The paper introduces MM-MT-Bench for evaluating vision-language models.

  2. June 2025

    Magistral reasoning model

    In June 2025, he coauthors Magistral, Mistral's first reasoning model and a scalable reinforcement-learning pipeline. The paper presents Magistral Medium and open-sources Magistral Small.

  3. August 2025

    Devstral for code agents

    In August 2025, he coauthors a technical report on Devstral, a fine-tuned language model for coding agents. It presents Devstral-Small as a lightweight open-source 24B model for code agents.

  4. January 2026

    Ministral 3 models

    In January 2026, he coauthors the Ministral 3 series, a family of parameter-efficient dense language models designed for compute- and memory-constrained applications. The paper presents 3B, 8B and 14B versions, each with image-understanding capabilities.

  5. February 2026

    Voxtral Realtime

    In February 2026, he coauthors Voxtral Realtime, a natively streaming automatic speech-recognition model that matches offline transcription quality at sub-second latency. The paper describes end-to-end training for streaming audio.

  6. March 2026

    Voxtral TTS

    In March 2026, he coauthors Mistral-AI’s Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as three seconds of reference audio. Its hybrid architecture combines auto-regressive generation of semantic speech tokens with flow-matching for acoustic tokens.

  7. July 2026

    Robostral Navigate

    In July 2026, he coauthors Robostral Navigate, an 8B vision-language model for robot navigation. The paper targets systems that minimize sensor assumptions, generalize across robot embodiments and train efficiently.

  8. Since August 2024

    AI Research Scientist at Mistral AI

    He joins Mistral AI as an AI Research Scientist in August 2024, after serving as a Software Engineer at Meta and a Software Development Engineer at Microsoft.

Career

  1. NowMistral AIAI Research Scientist
  2. MetaSoftware Engineer
  3. MicrosoftSoftware Development Engineer

From the biography.

Most-cited works

  1. Ministral 32026 · 4 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Andy Lo
  2. Robostral Navigate2026 · 0 citationsWith Alexandre Sablayrolles, Amélie Héliou, Baptiste Bout, Baudouin De Monicault, Chris Bamford and Christian Wallenwein
  3. Shieldstral2026 · 0 citationsWith Alexandre Sablayrolles, Amélie Héliou, Anmol Agarwal, Baptiste Bout, Baudouin De Monicault and Chris Bamford
  4. Voxtral Realtime2026 · 0 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Andy Lo
  5. Voxtral TTS2026 · 0 citationsWith Abhinav Rastogi, Alexander H. Liu, Alexandre Sablayrolles, Amélie Héliou, Andy Ehrenberg and Andy Lo

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Pravesh Agrawal. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Mistral AI. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Mistral AI. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  4. 5,000 frontier users would be 38.2% of the core labs' 13,100 reported staffIncludes Mistral AI. 5,000 frontier users would be 38.2% of the core labs' 13,100 reported staff. We test the estimate against 3,913 named model contributors and dated all-staff records across Google DeepMind, OpenAI and Anthropic, plus six additional frontier-grade labs.

Sources and credits

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  1. [2410.07073] Pixtral 12B arxiv.org. Checked 21 October 2026.
  2. Paper page - Pixtral 12B huggingface.co. Checked 21 October 2026.
  3. [2506.10910] Magistral arxiv.org. Checked 21 October 2026.
  4. [2509.25193] Devstral: Fine-tuning Language Models for Coding Agent Applications arxiv.org. Checked 21 October 2026.
  5. [2601.08584] Ministral 3 arxiv.org. Checked 21 October 2026.
  6. [2602.11298] Voxtral Realtime arxiv.org. Checked 21 October 2026.
  7. [2603.25551] Voxtral TTS arxiv.org. Checked 21 October 2026.
  8. [2607.20785] Robostral Navigate arxiv.org. Checked 21 October 2026.
  9. Pravesh Agrawal - AI Research Scientist at Mistral AI | The Org theorg.com. Checked 21 October 2026.