Mistral Forge Puts Enterprise AI Inside Your Firewall
Mistral's new Forge platform lets enterprises train frontier-grade AI models entirely on proprietary data, without sending any of it to a third party.
Articles Tagged "Mistral"
Mistral Small 4
Mistral AI's unified MoE model - 119B total parameters, 6B active per token, 128 experts, 256K context, configurable reasoning, Apache 2.0 license.
Mistral Small 4: 128 Experts, 6B Active, Apache 2.0
Mistral AI releases Small 4 - a 119B MoE with only 6B active parameters, 256K context, configurable reasoning, and Apache 2.0 license. Plus a new NVIDIA partnership to co-develop frontier open models.
Mistral's New Playbook - Send Engineers, Not Models
Europe's most-funded AI startup is embedding engineers inside banks and consulting giants, borrowing Palantir's forward-deploy playbook to survive the frontier race.
Mistral Vibe 2.0 Review - Europe's CLI Coding Agent
Mistral Vibe 2.0 pairs the open-weight Devstral 2 model with a terminal-native coding agent. We tested it head-to-head against Claude Code and Codex.
Kimi K2.5 vs Mistral Large 3: Moonshot's MoE Titan vs Europe's Open-Weight Flagship
Comparison of Kimi K2.5 and Mistral Large 3 - two large open-weight MoE models with 256K context, each representing a different vision for open AI.
Kimi K2.5 vs Mistral Small 3.2: Frontier Agent Swarm vs Europe's Tool-Use Specialist
Comparing Kimi K2.5 and Mistral Small 3.2 - Moonshot AI's trillion-parameter open-weight frontier model against Mistral's compact, EU-compliant function calling specialist.
Mistral Large 3
Mistral Large 3 is a 675B-parameter MoE model activating 41B per token with native multimodal support, a 256K context window, and Apache 2.0 licensing - Europe's first frontier-class open-weight model.
Mistral Small 3.2
Mistral Small 3.2 is a 24B dense model with strong function calling, multimodal vision, and 128K context under Apache 2.0 - optimized for production tool-use pipelines and EU-compliant deployments.
Qwen3.5-122B-A10B vs Mistral Large 3: When 4x More Parameters Buys You Less
A data-driven comparison of Qwen3.5-122B-A10B and Mistral Large 3 - two Apache 2.0 MoE models where the smaller one dominates text benchmarks despite a 4x active parameter disadvantage.
Qwen3.5-27B vs Mistral Small 3.2: Apache 2.0 Heavyweights Go Head to Head
A data-driven comparison of Alibaba's Qwen3.5-27B and Mistral's Small 3.2 - two Apache 2.0 dense models in the 24-27B range with very different benchmark profiles and deployment strengths.
