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Editorial ranking · 2026

Best European sovereign LLM

Top 8 open-source picks for European data sovereignty, ranked by benchmark performance and real-world fit. Updated monthly.

#1

Mistral Small 3

24B · Mistral AI · Apache 2.0

Mistral AI's 24B dense model that closes most of the gap with 70B-class models. Best quality-per-parameter we've measured at this size in 2025.

VRAM Q4: 14 GB · Context: 32k
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#2

Mistral Small 3.1 24B

24B · Mistral AI · Apache 2.0

Mistral AI's Small 3.1 — Small 3 plus a vision encoder, a 128k context, and ~150 tok/s inference under Apache 2.0. Small 3.2 (June 2025) is a drop-in upgrade.

VRAM Q4: 14 GB · Context: 125k
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#3

Devstral Small 2 24B

24B · Mistral AI · Apache 2.0

Mistral AI's 24B coding specialist co-developed with All Hands AI, scoring 72.2% on SWE-Bench under Apache 2.0. Fits on a single RTX 4090.

VRAM Q4: 14 GB · Context: 250k
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#4

Mistral Small 3.2 24B

24B · Mistral AI · Apache 2.0

Mistral AI's June 2025 refresh of Small 3.1: a 24B Apache 2.0 dense model with vision input, sharper function calling, and roughly half the rate of runaway generations seen in 3.1.

VRAM Q4: 14 GB · Context: 125k
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#5

Magistral Small 24B

24B · Mistral AI · Apache 2.0

Mistral AI's first open reasoning model, built on Small 3.1 with RL-trained chain-of-thought. Hits 70.7% on AIME24 under Apache 2.0.

VRAM Q4: 14 GB · Context: 125k
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#6

Mistral Nemo 12B Instruct

12B · Mistral AI · Apache 2.0

Mistral AI and NVIDIA's co-developed 12B instruct model with 128k context, the Tekken tokenizer, and strong European multilingual coverage.

VRAM Q4: 7 GB · Context: 125k
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#7

Lucie 7B

7B · OpenLLM-France · Apache 2.0

A French-sovereign 7B model from OpenLLM-France, backed by CNRS and LINAGORA, with a fully transparent and auditable training corpus.

VRAM Q4: 5 GB · Context: 4k
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#8

Codestral 22B v0.1

22B · Mistral AI · Mistral Non-Production License

Mistral AI's 22B code specialist covering 80+ programming languages, with strong HumanEval and MBPP scores. Locked behind the restrictive MNPL license — personal and research use only.

VRAM Q4: 13 GB · Context: 31k
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