Ministral 3B
ministral-3b-aad7dd42·3 events·first seen 1mo agoAliases: Ministral 3B, Ministral 3
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Mistral AI Releases Ministral 3B and 8B Edge Models
Mistral AI has introduced two new small language models, Ministral 3B and Ministral 8B, targeting on-device and edge computing use cases. Both models support up to 128k context length and claim state-of-the-art performance in the sub-10B parameter category, outperforming comparable models from Google and Meta on internal benchmarks. Ministral 8B features an interleaved sliding-window attention mechanism for memory-efficient inference and is priced at $0.1/M tokens via API, while Ministral 3B is priced at $0.04/M tokens. Weights for Ministral 8B Instruct are available for research use, with commercial licensing available on request.
Mistral Releases Mistral 3 Family: Mistral Large 3 (675B MoE) and Ministral 3 Series (3B–14B), All Apache 2.0
Mistral AI has announced Mistral 3, a family of open-weight models including Mistral Large 3 (41B active / 675B total sparse MoE) and three dense Ministral 3 edge models (3B, 8B, 14B), all released under Apache 2.0. Mistral Large 3 debuts at #2 on LMArena's OSS non-reasoning leaderboard, supports image understanding, and was trained on 3,000 NVIDIA H200 GPUs; a reasoning variant is forthcoming. The Ministral 3 series includes base, instruct, and reasoning variants with multimodal and multilingual capabilities, with the 14B reasoning model achieving 85% on AIME '25. The release involves deep co-optimization with NVIDIA (Blackwell/Hopper kernels, NVFP4 format), vLLM, and Red Hat, and is available across major cloud and inference platforms.
Mistral Releases Voxtral TTS: 4B-Parameter Multilingual Text-to-Speech Model
Mistral AI has launched Voxtral TTS, its first text-to-speech model, built on a 4B-parameter transformer-based autoregressive flow-matching architecture derived from Ministral 3B. The model supports 9 languages with zero-shot voice adaptation from as little as 3 seconds of reference audio, achieving 70ms latency for typical inputs and a real-time factor of ~9.7x. Human evaluations claim superior naturalness compared to ElevenLabs Flash v2.5 and parity with ElevenLabs v3. The model is available via Mistral Studio and API, targeting enterprise voice agent workflows.