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.
#Open-source ecosystem
#Open-source ecosystem
0 todayMar 7
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 AI - KI für Deutschland
Mistral AI announced a multi-year SAP partnership to integrate its models into AI Foundation and jointly develop tailored solutions for complex European industries and the public sector. It will also accelerate vision-language-action model research with Helsing for defence and security, open a German office in the coming months and significantly expand its local team.
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.