Strengthening Singapore’s AI Future: A New National Partnership
Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more.
#Open-source ecosystem
#Open-source ecosystem
0 todayMay 16
May 2
Catalyzing scientific impact through global partnerships and open resources
Google Research said its open-source tools and datasets have enabled over 250,000 researchers and developers worldwide. Genomics tools DeepVariant, DeepConsensus and DeepPolisher have supported processing exomes and whole genomes from 2.5 million people; MedGemma has over 4.8 million downloads. Open Health Stack is deployed in more than ten countries, reaching over 65 million beneficiaries.
Apr 3
Gemma 4: Byte for byte, the most capable open models
Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.
Mar 24
Speaking of Voxtral
Voxtral TTS: A frontier, open-weights text-to-speech model that’s fast, instantly adaptable, and produces lifelike speech for voice agents.
Mar 17
Introducing Mistral Small 4
Mistral AI released Mistral Small 4, the next major version in the series and its first model to combine Magistral reasoning, Pixtral multimodal capabilities and Devstral agentic coding in one model, under Apache 2.0.
Mistral partners with NVIDIA to accelerate open frontier models
At Mistral AI, we believe the future of artificial intelligence is open, collaborative, and built for everyone. Today, we’re proud to announce our participation as a founding member in the NVIDIA Nemotron Coalition, a groundbreaking global initiative uniting leading AI labs to advance open, frontier-level foundation models.
Leanstral: Open-Source foundation for trustworthy vibe-coding
Mistral AI released Leanstral, the first open-source coding agent for Lean 4, using a sparse architecture with 6B active parameters. Its weights are available under Apache 2.0, and it is integrated into Mistral vibe and the free labs-leanstral-2603 API endpoint.
Mar 11
Rails testing on autopilot: Building an agent that writes what developers won't
Mistral built an autonomous agent on its open-source coding assistant Vibe to read Rails source files, generate or improve RSpec tests and run within CI/CD without human intervention.
Mar 7
WAXAL: A large-scale open resource for African language speech technology
Google Research released WAXAL, a large open speech dataset initially covering 27 sub-Saharan African languages spoken by more than 100 million people, under CC-BY-4.0.
Feb 5
Voxtral transcribes at the speed of sound.
Mistral released Voxtral Transcribe 2, comprising Voxtral Mini Transcribe V2 for batch transcription and Voxtral Realtime for real-time use.
Jan 22
Heaps do lie: debugging a memory leak in vLLM.
Mistral AI investigated a vLLM memory leak in a disaggregated Prefill/Decode deployment of Mistral Medium 3.1. System memory grew linearly at 400 MB per minute, causing out-of-memory failures within hours. It occurred only on the decode side with graph compilation and KVCache transfer via NIXL. Heaptrack showed stable heap memory; the issue was outside the heap.
Dec 9
Introducing: Devstral 2 and Mistral Vibe CLI.
Mistral AI released the next-generation Devstral 2 coding family, including 123B Devstral 2 under a modified MIT licence and 24B Devstral Small 2 under Apache 2.0, both open-source.
Dec 3
Introducing Mistral 3
Mistral released the Mistral 3 family, comprising 14B, 8B and 3B small dense models and its strongest yet Mistral Large 3, a sparse MoE with 41B active and 675B total parameters. All are open-source under Apache 2.0.
Nov 19
Mistral - KI für Deutschland
We are building a multiyear partnership with SAP to deliver a fully sovereign AI stack for Germany and Europe, integrating our models into SAP’s AI Foundation, and co-developing industry-specific solutions for Europe’s most complex industries and administrations. With Helsing, we are accelerating the development of vision-language-action models for real-world defense and security applications.
Sep 9
Mistral raises 1.7B€ to accelerate technological progress with AI
We are announcing a Series C funding round of 1.7B€ at a 11.7B€ post-money valuation. This investment fuels our scientific research to keep pushing the frontier of AI to tackle the most critical and sophisticated technological challenges faced by strategic industries. The Series C funding round is led by leading semiconductor equipment manufacturer, ASML Holding NV (ASML).
Jul 15
Voxtral
Mistral AI released Voxtral speech-understanding models in 24B and 3B versions, both under Apache 2.0 and available via its API. With a 32k-token context, they handle up to 30 minutes of transcription or 40 minutes of audio understanding, including built-in question answering and summaries, automatic multilingual detection and voice-triggered function calls, inheriting Mistral Small 3.1's text capabilities.
Jul 11
Upgrading agentic coding capabilities with the new Devstral models
Mistral AI partnered with All Hands AI to release Devstral Medium and upgrade Devstral Small 1.1.
Jul 3
Announcing AI for Citizens
Mistral AI launched AI for Citizens, helping governments and public institutions strategically apply AI to transform public services, innovate and safeguard competitiveness. It offers open-source models, self-hosting, data sovereignty and tailored R&D, with government and public-sector partners in France, Luxembourg, Singapore, the Netherlands, the UK and Switzerland.
Jun 11
Mistral Compute
Mistral AI launched Mistral Compute, a private integrated AI infrastructure stack covering GPUs, orchestration, APIs, products and services, ranging from bare-metal servers to fully managed PaaS.
Jun 10
Magistral
Mistral AI released its first reasoning model, Magistral, comprising the 24B open-source Magistral Small and enterprise-focused Magistral Medium.
May 27
Build AI agents with the Mistral Agents API
Mistral AI released Agents API, combining its language models with built-in connectors for code execution, image generation, document libraries and web search, plus MCP tools, persistent memory across conversations and agent orchestration.
May 21
Devstral
Mistral AI and All Hands AI jointly released Devstral, an agentic LLM for software engineering tasks, open-source under Apache 2.0.
Mar 17
Mistral Small 3.1
Mistral AI released Mistral Small 3.1, improving text performance and multimodal understanding over Small 3, expanding context to 128k tokens and reaching 150 tokens per second, under Apache 2.0.
Jan 30
Mistral Small 3
Today we’re introducing Mistral Small 3, a latency-optimized 24B-parameter model released under the Apache 2.0 license.