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LLM Mistral AI France

Mistral AI

Mistral AI: Medium 3.5 (128B, 256k context), Small 4 (Apache 2.0), Large 3 and OCR 4.1. Models, pricing, EU hosting in Paris and Azure, and GDPR assessment.

License Apache 2.0 (Small 4, Leanstral 1.5), Mistral Research License (Large 3)
GDPR Hosting Available
Context 256000 Tokens
Modality Text, Image, Audio, Code → Text, Code, Audio

Versions

Overview of available model variants

ModelReleaseEUStrengthsWeaknessesStatus
Mistral OCR 4.1
31 August 2026 (GA; first release 16 July 2026)
Native paragraph-level bounding boxes Structural block labels for layout elements Block-level confidence scores (parameter confidence_scores_granularity: page, block, or word) Structured annotations and bbox extraction via /v1/ocr, bulk processing via /v1/batch Current generation of enterprise document digitisation
Specialist model for OCR / document processing Per-page price doubled compared with OCR 3 (approx. $2 per 1,000 pages)
Current
Leanstral 1.5
2 July 2026 (changelog entry 30 June 2026)
Specialist model for formal proof engineering in Lean 4 119B MoE with 6B active parameters Per Mistral: 100% on miniF2F (validation and test), 587 of 672 PutnamBench problems, FATE-H 87%, FATE-X 34% Two operating modes: multi-turn theorem proving with compiler feedback, and a code agent on the file system with language-server inspection Apache 2.0 – self-hostable
Specialist model for Lean 4 – not a general-purpose LLM Labs model: API endpoint API endpoint retired on 30 September 2026 per the changelog, self-hosting only
Current
Robostral Navigate
8 July 2026
Mistral's first model for embodied navigation (robotics / physical AI) 8B parameters, controlled via natural-language instructions Navigation with a single RGB camera – no LiDAR, no depth sensors State of the art on R2R-CE (79.4% val-seen / 76.6% val-unseen) Hardware-agnostic: wheeled, legged and flying robots Trained entirely in simulation (~400,000 paths across 6,000 virtual environments)
Availability and licence not yet announced at launch Specialist model for navigation, not a general-purpose LLM
Current
Mistral Medium 3.5 Recommended
29 April 2026
First merged flagship model (unites Magistral reasoning + Devstral 2 coding) 128B dense architecture 256k context 77.6% on SWE-Bench Verified Reasoning mode (toggleable between instant reply and reasoning) Multimodal (text + image) Open weights (modified MIT licence)
Higher cost than Small 4
Current
Mistral Small 4 Recommended
16 March 2026
119B MoE (6B active) - extremely efficient 256k context Multimodal (vision) reasoning_effort parameter Open source
—Current
Mistral Large 3
December 2025
Flagship model (675B total, 41B active) Multimodal (text + image) Agentic workflows Open weights
Higher cost than Small 4
Current
Mistral Medium 3
2025
Strong coding performance Enterprise tasks
Superseded by Mistral Medium 3.5
Deprecated
Magistral Medium 1.2
2025
Reasoning focus
—Current
Codestral
May 2024
Code specialization
—Current
Voxtral
2025
Audio/speech-to-text Multilingual transcription
—Current
Ministral 3 Family
2025
Edge models (14B, 8B, 3B) On-device deployment
Limited capacity
Current
Mistral Small 3.2
2025
Cost-efficient Open weights
Superseded by Small 4
Deprecated
Devstral 2 / Devstral Small 2
December 2025
Specialised for agentic coding Optimised for software-engineering workflows
Specialist model
Current
Mistral OCR 4
23 June 2026
Enterprise document digitisation
Specialist model for OCR Superseded by Mistral OCR 4.1 – the alias mistral-ocr-4 has pointed to OCR 4.1 since 16 July 2026
Deprecated
Mistral OCR 3 (mistral-ocr-2512)
December 2025
Enterprise document digitisation 74% win rate vs. competitors (per Mistral) ~USD 2 per 1,000 pages
Superseded by Mistral OCR 4 / 4.1
Deprecated
Pixtral Large
November 2024
Multimodal flagship (image + text) Available on AWS Bedrock and Vertex AI
Superseded by Mistral Small 4 / Large 3
Deprecated

Use Cases

Typical applications for this model

European Compliance (GDPR)
Multilingual Teams
Coding & Software Development
Document Processing
Speech-to-Text
On-Premise Deployments
Edge AI
Agentic Workflows

Technical Details

API, features and capabilities

API & Availability
Availability Public
Requests/Min 500
Tokens/Min 500000
Latency (TTFT) ~240ms
Throughput ~540 Tokens/Sec
Features & Capabilities
Tool Use Function Calling Structured Output Vision Reasoning Mode File Upload
Training & Knowledge
Knowledge Cutoff 2025
Fine-Tuning Available (LoRA, Full)
Language Support
Best Quality English, French, German, Spanish, Italian
Supported 80+ languages
Particularly strong in European languages

Hosting & Compliance

GDPR-compliant hosting options and licensing

GDPR-Compliant Hosting Options
Mistral Cloud
Paris (EU)
EU-native - French company
AWS
Varies by model (incl. eu-west-1 Ireland, eu-west-3 Paris, eu-central-1 Frankfurt)
Amazon Bedrock - EU availability is model-dependent: per AWS's region table, Devstral 2 and the deprecated Pixtral Large run in, among others, eu-central-1 (Frankfurt); Mistral Large 3 is currently only in US/APAC/SA regions with no EU location; Mistral Medium 3.5 and Small 4 are not currently listed on Bedrock
Azure
West Europe (Global Standard and Data Zone Standard EU)
Azure AI Foundry - per Microsoft's region table, Mistral Large 3 and Medium 3.5 are available via both Global Standard and Data Zone Standard EU (including germanywestcentral, francecentral, westeurope)
Google Cloud
europe-west4 (Netherlands)
Vertex AI Model Garden - per Google's documentation, only older model versions are currently listed there (Mistral Medium 3, Mistral Small 3.1, Mistral OCR 25.05, Codestral 2); Medium 3.5, Small 4, Large 3 and OCR 4.1 are not listed. Google also documents that ML processing for requests to European endpoints occurs within the EU
Self-Hosted
Own infrastructure
Open weights models
License & Hosting
License Apache 2.0 (Small 4, Leanstral 1.5), Mistral Research License (Large 3)
Security Filters Customizable
Enterprise Support Yes
SLA Available Yes
On-Premise Edge-capable

Mistral AI is a French AI company headquartered in Paris. As an EU-native company, Mistral offers enterprises in the DACH region with strict privacy and compliance requirements models that can be operated in the EU – via its own cloud in Paris, via Microsoft Foundry (Data Zone Standard EU) or by self-hosting open weights. The portfolio ranges from language models (Medium 3.5, Small 4, Large 3) through audio (Voxtral) and code (Codestral, Devstral) to document AI (OCR 4.1).

The current reference models are Mistral Medium 3.5 (flagship for agents, coding and reasoning), Mistral Small 4 (efficient open-source model under Apache 2.0), Mistral Large 3 (open-weight model for demanding tasks) and Mistral OCR 4.1 for documents. As an AI consultancy from Rosenheim we support model selection, GDPR assessment and operations, including through CompanyGPT. This overview reflects the state as of October 2026.

Current models at a glance

ModelReleaseContextLicenceFocus
Mistral Medium 3.529 April 2026256kOpen weights (modified MIT licence)Agents, coding, reasoning
Mistral Small 416 March 2026256kApache 2.0Efficient standard workloads, self-hosting
Mistral Large 3December 2025–Mistral Research LicenseComplex enterprise applications, agentic workflows
Mistral OCR 4.1GA 31 August 2026–APIDocument processing
Leanstral 1.52 July 2026–Apache 2.0Formal proofs in Lean 4 (self-hosting only)

Mistral Medium 3.5

With Medium 3.5 (29 April 2026) Mistral released its first merged flagship model. It combines the previously separate models Magistral (reasoning) and Devstral 2 (agentic coding) in one dense 128B model with 256k context, a switchable reasoning mode and native image processing. According to Mistral it reaches 77.6% on SWE-Bench Verified. The weights are available under a modified MIT licence. Medium 3.5 also powers the Vibe agent (see below). EU data residency applies by default; since 28 May 2026 the model is also available in Microsoft Copilot Studio with in-region processing for EU customers.

Mistral Small 4

Small 4 (16 March 2026) uses a sparse MoE architecture with 119 billion parameters, of which only about 6 billion are active (4 experts). It offers 256k context, native vision and the reasoning_effort parameter to control reasoning depth at runtime. According to Mistral, latency drops by about 40% compared with Small 3 while throughput triples. The Apache 2.0 licence allows unrestricted self-hosting.

Mistral Large 3 and specialised models

Mistral Large 3 has 675 billion total parameters (41 billion active) and is designed for reasoning, multimodal processing and agentic workflows. Specialised models include:

  • Codestral: code generation and analysis
  • Voxtral: audio and speech-to-text for multilingual transcription
  • Magistral Medium 1.2: reasoning (superseded by Medium 3.5)
  • Ministral 3 family: edge models in 14B, 8B and 3B for on-device use

Mistral OCR 4.1

On 31 August 2026 Mistral declared OCR 4.1 (mistral-ocr-4-1) generally available; the first release dates from 16 July 2026 per the changelog. The aliases mistral-ocr-latest and mistral-ocr-4 point to OCR 4.1 – anyone using them is already on the new model and should re-check their pipeline outputs. New per Mistral’s documentation:

  • Paragraph-level bounding boxes – native, without a downstream layout analysis.
  • Structural block labels that type layout elements.
  • Block-level confidence scores: the confidence_scores_granularity parameter supports page, block and word. In invoice or contract processing, uncertain blocks can be routed to manual review.
  • Structured annotations and bbox extraction via /v1/ocr, bulk processing via /v1/batch.

Pricing

Per the Mistral price list, OCR costs $4 per 1,000 pages, and $5 per 1,000 pages with annotations (Document AI). Compared with OCR 3 (around $2 per 1,000 pages) the per-page price has doubled – for high volumes it is worth calculating whether the new structural data justifies the premium. Prices per provider, as of October 2026.

EU availability and GDPR

  • EU headquarters: French company subject to European data protection law.
  • Mistral Cloud (Paris): native EU hosting option.
  • Microsoft Foundry: Data Zone Standard EU, including the Frankfurt region (germanywestcentral), France and West Europe.
  • AWS Bedrock and Google Vertex AI Model Garden: EU availability depends on model and region; Medium 3.5 and Small 4 are currently not listed there (see the compliance table above).
  • Self-hosting: Small 4 (Apache 2.0) plus Medium 3.5 (modified MIT licence) and Large 3 (Mistral Research License) as open weights; no data transfer to third countries required.

Model lifecycle

  • Leanstral 1.5 (2 July 2026): open-weights model (119B MoE, 6B active, Apache 2.0, mistralai/Leanstral-1.5-119B-A6B) for proof engineering in Lean 4. According to Mistral, 100% on miniF2F and 587 of 672 PutnamBench problems. The free Labs API endpoint (labs-leanstral-1-5) was limited until 30 September 2026 per the changelog and is deprecated; self-hosting the weights remains possible.
  • OCR 4 (mistral-ocr-4-0, released 23 June 2026): retired as of 30 September 2026 per the changelog; the successor is OCR 4.1 at the same price.
  • Magistral and Devstral 2: merged into Medium 3.5.

Other developments at Mistral

  • Robostral Navigate (8 July 2026): first robotics model, 8B parameters for embodied navigation from natural-language instructions and a single RGB camera. According to Mistral 79.4% (val-seen) and 76.6% (val-unseen) on R2R-CE. Mistral has not announced licence or availability.
  • Vibe: since late May 2026 Le Chat is called Vibe – an agent for work and code with Work Mode (connectors to Google Workspace, Outlook, SharePoint, Slack, GitHub) and Code Mode (remote coding, pull requests), powered by Medium 3.5.
  • Funding: on 8 September 2026 Mistral announced a EUR 3 billion Series D led by Samsung Electronics at a post-money valuation of over EUR 21 billion (per Mistral). No new EU data centre locations were named.

Integration with CompanyGPT

All Mistral models are integrated into CompanyGPT and can be operated fully GDPR-compliantly in the EU – via Mistral Cloud (Paris), Microsoft Foundry (Data Zone Standard EU) or self-hosted; on AWS Bedrock and Google Vertex AI, EU region availability depends on the model version (see the compliance table above).

Our recommendation

We recommend a two-track strategy: Mistral Medium 3.5 for enterprise agents, coding and reasoning – thanks to toggle reasoning, 77.6% SWE-Bench Verified (per Mistral) and EU data residency including Copilot Studio integration. Mistral Small 4 remains the cost-efficient choice for standard workloads thanks to its Apache 2.0 licence and MoE efficiency. For open-weight flagship models there is Mistral Large 3; for specialised workloads Voxtral (audio), Mistral OCR 4.1 (documents), the Ministral 3 family (edge) and Leanstral 1.5 (formal proofs, self-hosting).

Cost estimation for this model

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