
Mistral Medium 3.5
Mistral AI's 128B multimodal foundation model with 256K context window and on-premises deployment capability; launched 29 April 2026.
Last refreshed: 17 May 2026 · Appears in 1 active topic
Is Mistral Medium 3.5's open-weight coding performance strong enough to displace Claude and GPT-4 in EU enterprise deals?
Timeline for Mistral Medium 3.5
Launched with 256K context, multimodal capability and GDPR data-residency guarantees
European Tech Sovereignty: Mistral ships Le Chat Enterprise and Medium 3.5How does Mistral Medium 3.5 compare to GPT-4 and Claude?
Can Mistral Medium 3.5 be run on-premises without sending data to Mistral?
What happened to Mistral Magistral and Devstral after Medium 3.5?
Background
Mistral Medium 3.5 is Mistral AI's flagship foundation model, launched on 29 April 2026. It is a dense (non-mixture-of-experts) transformer with 128 billion parameters and a 256,000-token context window, handling text and image input across instruction-following, reasoning, and agentic coding in a single model. Key benchmarks include a 77.6% SWE-bench Verified score, beating all closed-source frontier models except Claude Sonnet 4.6 and DeepSeek V4 Pro, while running on as few as four GPUs for self-hosted deployments. API pricing is $1.50 input / $7.50 output per million tokens.
The model's architecture strategy consolidates three previously separate Mistral lines: Medium 3.1 (general tasks), Magistral (reasoning), and Devstral 2 (agentic coding) are replaced by a single set of weights with configurable reasoning effort per request. It is released as an open-weight model, meaning weights are available for self-hosting, a significant competitive differentiator versus closed-source US counterparts for European organisations with on-premises deployment requirements.
Mistral Medium 3.5 is the technical engine behind Le Chat Enterprise's data-residency-compliant deployments. Its availability as an open-weight model makes it deployable in fully air-gapped environments — critical for European defence, healthcare, and intelligence use cases where cloud connectivity is prohibited. Combined with its coding capability score, it positions Mistral as a credible alternative to Anthropic and OpenAI for EU public procurement.