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Mistral Medium 3.5
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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

Key Question

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

#529 Apr

Launched with 256K context, multimodal capability and GDPR data-residency guarantees

European Tech Sovereignty: Mistral ships Le Chat Enterprise and Medium 3.5
View full timeline →
Common Questions
How does Mistral Medium 3.5 compare to GPT-4 and Claude?
At 77.6% SWE-bench Verified, Medium 3.5 beats every closed-source frontier model except Claude Sonnet 4.6 and DeepSeek V4 Pro. It runs on 4 GPUs for self-hosting and costs roughly half as much per token as Anthropic's equivalent.Source: MarkTechPost / Artificial Analysis, May 2026
Can Mistral Medium 3.5 be run on-premises without sending data to Mistral?
Yes. Medium 3.5 is released as an open-weight model. Organisations can download and run the weights on their own infrastructure — including air-gapped environments — with no data leaving their systems.Source: Mistral AI / HuggingFace
What happened to Mistral Magistral and Devstral after Medium 3.5?
Mistral Medium 3.5 replaces all three previous lines: Medium 3.1 (general), Magistral (reasoning), and Devstral 2 (agentic coding). One model now handles all three tasks via configurable reasoning effort.Source: LetsDatScience / TechSifted, April 2026

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.