Description
Mistral AI
What is Mistral?
Main Models
Mistral Large 3 (December 2025)
- Params: 675B total, 41B active (granular MoE)
- Context: 256K tokens
- Multimodal: text + image + video + audio
- Multilingual: Broad European language support
- Performance: On par with GPT-4o, Gemini 2.0 Flash
- Best for: Document analysis, coding, agentic workflows, enterprise
Ministral 3 (December 2025)
- Sizes: 3B, 8B, 14B params (dense, not MoE)
- Variants: Base, Instruct, Reasoning
- Deploy: Drones, robots, cars, phones, laptops (offline)
- License: Apache 2.0
- Best for: Edge AI, robotics, on-device without internet
Devstral 2 (December 2025)
- Devstral 2: 123B params, 72.2% SWE-bench Verified (SOTA open)
- Devstral Small 2: 24B params, 68% SWE-bench, runs on laptop
- Context: 256K tokens both
- License: Modified MIT (Devstral 2), Apache 2.0 (Small 2)
- Mistral Vibe CLI: CLI agent for code automation
Magistral (June 2025)
- Small: Open-source
- Medium: Proprietary
- Capabilities: Chain-of-thought reasoning
Other Models
Mistral Small 3.1 (March 2025): Efficient and fast
Pixtral: Multimodal vision pioneer
Voxtral: Speech-to-text (audio models)
Mistral Embed: Semantic search and embeddings
Mistral Moderation: Content safety (9 categories)
Key Features
- Publicly downloadable weights
- Full fine-tuning and customization
- Deploy on-premise or cloud
- Only activates necessary params per token
- Efficiency without sacrificing performance
- Mistral Large 3: 41B active of 675B total
- Ministral 3 runs offline on devices
- Robotics, drones, vehicles
- 4GB VRAM sufficient (Small models)
- Special focus on European languages
- Maintains performance across languages
- Text, image, video, audio
- Native early integration
Le Chat
- Available: Web, iOS, Android
- Free tier: Basic access
- Pro: $14.99/month (advanced models, unlimited messages, web browsing)
- Image generation: Integrates Flux Pro (Black Forest Labs)
Pricing
- Ministral 3 (all sizes): FREE
- Devstral Small 2: FREE
- Magistral Small: FREE
- Mistral Large 3: Via API (competitive pricing)
- Devstral 2: FREE via API (modified MIT)
- Mistral Medium/Small: Via API
- Azure AI Studio
- AWS Bedrock
- Google Cloud Model Garden
- IBM Watsonx
- Snowflake
- NVIDIA
- Use your cloud credits
- Deploy on your infra (VPC, on-prem, edge)
- Full control and customization
Use Cases
- Document analysis (256K context)
- Agentic workflows and AI assistants
- RAG systems
- Custom fine-tuning for domain-specific tasks
- Agentic coding with Devstral 2
- Code automation via Mistral Vibe CLI
- SWE tasks (72.2% SWE-bench)
- Robotics without WiFi (on-site diagnostics)
- Autonomous drones in dead zones
- In-car AI assistants (Stellantis partnership)
- On-device apps without internet
- Singapore HTX: robots, cybersecurity, fire safety
- Helsing (Germany): vision-language-action for drones
- Stellantis: in-car AI assistant
- Multilingual content moderation
- Semantic search and organization
- Transcription (Voxtral)
- Scientific workloads
Partners and Deployments
- HTX Singapore (robots, security)
- Helsing (defense drones)
- Stellantis (automotive)
- Microsoft Azure ($16M investment 2024)
- NVIDIA (optimized GB200 NVL72: 10x performance gain)
- AWS, Google Cloud, IBM, Snowflake
- CMA CGM: €100M partnership (shipping)
- HSBC: Major commercial contract
Advantages
✅ Apache 2.0: Truly open for many models
✅ Efficient MoE: 41B active vs 675B total
✅ Edge-ready: Ministral runs offline on devices
✅ 256K context: Long-document processing
✅ Strong multilingual: Especially European languages
✅ Native multimodal: text + image + video + audio
✅ Competitive pricing: Cheaper than OpenAI/Anthropic
✅ No vendor lock-in: Self-host or multi-cloud
✅ NVIDIA optimized: GB200 NVL72 10x gain
✅ European champion: €14B valuation, €2B funding
Limitations
❌ Smaller ecosystem: Fewer integrations than competitors
❌ Benchmark controversies: Questions about methodology
❌ Copyright concerns: 22% copyrighted text verbatim (Mixtral)
❌ Mixed licenses: Not everything Apache 2.0 (confusion)
❌ Hardware requirements: Large models need powerful GPUs
❌ Less documentation: Compared to OpenAI/Anthropic
❌ Fewer features: No advanced voice, canvas, etc.
Key Features
Mistral Large 3: MoE 675B params, 41B active, 256K context
Ministral 3: 3B/8B/14B models for edge (offline on devices)
Devstral 2: 72.2% SWE-bench, SOTA open coding model
Devstral Small 2: 24B params, runs on laptop, Apache 2.0
Mistral Vibe CLI: CLI agent for code automation
Native multimodal: text + image + video + audio
Multilingual: special focus on European languages
Apache 2.0: Ministral, Devstral Small, Magistral Small free
Edge AI: robotics, drones, cars without WiFi
Granular MoE: efficiency without sacrificing performance
Le Chat: ChatGPT-style assistant (web, iOS, Android)
Cloud deployment: Azure, AWS, GCP, IBM, Snowflake
Self-hosted: VPC, on-premise, edge options
NVIDIA optimized: GB200 NVL72 10x performance gain
Physical AI: HTX Singapore, Helsing drones, Stellantis cars
Magistral: Reasoning models with chain-of-thought
Voxtral: SOTA speech-to-text
Mistral Embed: Semantic search and embeddings
Mistral Moderation: 9 multilingual safety categories
Fine-tuning services: Custom pre-training and model distillation
Use Cases
Agentic coding workflows with Devstral 2 (SWE tasks)
Edge robotics without WiFi (on-site diagnostics)
Autonomous drones in dead zones
In-car AI assistants (automotive)
Enterprise document analysis (256K context)
RAG systems with Mistral Embed
Code automation via Mistral Vibe CLI
Multilingual content moderation
On-device AI apps (phones, laptops offline)
Scientific workloads and research
Custom fine-tuning for specific domains
Semantic search and organization
Speech-to-text transcription (Voxtral)
Vision-language-action for military drones
Fire safety AI systems
Cybersecurity automation
Shipping logistics optimization
Banking workflows (HSBC)
Long-context document processing
Agentic enterprise assistants
Categories
Information
Company
Mistral AI
Website
mistral.aiUser Reviews
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