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Best local LLM in French in 2026

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Ranking updated on 09/10/2026

Ranking of open-weight LLMs capable of producing polished, idiomatic French without anglicisms. We favor models with dense French-language corpora (French or European origin) and a free license to facilitate enterprise deployment.

Ranking

1

🇫🇷 Magistral Small 24B

Mistral AI · 24B parameters · Apache 2.0 · 128,000 tokens ctx

First open Mistral reasoner. AIME24 70.7%. Based on Small 3.1 + CoT training.

Why this ranking French origin, dense French-language corpus. Mistral AI.
ollama run magistral:24b
Q4 VRAM
14 GB
26 GB in Q8
2

🇫🇷 Mistral Small 3.2 24B

Mistral AI · 24B parameters · Apache 2.0 · 128,000 tokens ctx

June 2025 update for Small 3.1. Half as many infinite generations, improved function calling.

Why this ranking French origin, dense French-language corpus. Mistral AI.
ollama run mistral-small3.2:24b
Q4 VRAM
14 GB
26 GB in Q8
3

🇫🇷 Mistral Small 3.1 24B

Mistral AI · 24B parameters · Apache 2.0 · 128,000 tokens ctx

Small 3 enhanced with vision. 128k ctx, Apache 2.0. Replaced by Small 3.2 since June 2025.

Why this ranking French origin, dense French-language corpus. Mistral AI.
ollama run mistral-small3.1:24b
Q4 VRAM
14 GB
26 GB in Q8
4

🇫🇷 Lucie 7B

OpenLLM-France · 7B parameters · Apache 2.0 · 4,096 ctx tokens

Sovereign French-language LLM, trained on French corpora.

Why this ranking French origin, dense French-language corpus. OpenLLM-France.
ollama run lucie:7b
Q4 VRAM
5 GB
9 GB in Q8
5

🇫🇷 Mistral Nemo 12B Instruct

Mistral AI · 12B parameters · Apache 2.0 · 128,000 tokens ctx

Co-developed with NVIDIA. 128k ctx, Tekken tokenizer, strong in European multilingual.

Why this ranking French origin, dense French-language corpus. Mistral AI.
ollama run mistral-nemo:12b
Q4 VRAM
7 GB
13 GB in Q8
6

🇫🇷 Mistral Small 3

Mistral AI · 24B parameters · Apache 2.0 · 32,768-token context

Excellent quality-to-size ratio at release (early 2025). Competes with 70B models.

Why this ranking French origin, dense French-language corpus. Mistral AI.
ollama run mistral-small:24b
Q4 VRAM
14 GB
26 GB in Q8
7

🇫🇷 Claire 7B 0.1

LINAGORA · 7B parameters · CC-BY-NC-SA 4.0 · 2 048 tokens ctx

LoRA-finetuned Falcon-7B on spontaneous French dialogue. ⚠ NC-SA license. Separate Apache variant.

Why this ranking French origin, dense French-language corpus. LINAGORA.
# HuggingFace : OpenLLM-France/Claire-7B-0.1 (Apache : Claire-7B-Apache-0.1)
Q4 VRAM
5 GB
9 GB in Q8
8

🇫🇷 Pleias 3B Preview

PleIAs · 3B parameters · Apache 2.0 · 2 048 tokens ctx

French. Trained 100% on Common Corpus (open data). EU AI Act compliant by design.

Why this ranking French origin, dense French-language corpus. PleIAs.
# HuggingFace : PleIAs/Pleias-3b-Preview
Q4 VRAM
2 GB
3.5 GB in Q8

Comparison table

Rank Model Params Q4 VRAM Context License
#1 Magistral Small 24B 24B 14 GB 128 000 Apache 2.0
#2 Mistral Small 3.2 24B 24B 14 GB 128 000 Apache 2.0
#3 Mistral Small 3.1 24B 24B 14 GB 128 000 Apache 2.0
#4 Lucie 7B 7B 5 GB 4 096 Apache 2.0
#5 Mistral Nemo 12B Instruct 12B 7 GB 128 000 Apache 2.0
#6 Mistral Small 3 24B 14 GB 32 768 Apache 2.0
#7 Claire 7B 0.1 7B 5 GB 2 048 CC-BY-NC-SA 4.0
#8 Pleias 3B Preview 3B 2 GB 2 048 Apache 2.0

Two options depending on the memory you need and your software: Radeon RX 9070 XT 16 GB · GMKtec EVO-X2 64 GB / 1 TB (Ryzen AI Max+ 395) — compare AI hardware →

The Local AI Kit

You found the best French model. The Local AI Kit explains when to prefer it over a general-purpose model (ch. 10) and gives you writing, translation, and summarization instructions that actually work (ch. 9).

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Ranking methodology

We keep the models of French/European origin (Mistral, Lucie, CroissantLLM, Teuken, EuroLLM) and the large general-purpose models with very good French (Qwen, Llama). Bonus: European origin (sovereignty), size ≥ 24B (literary ability), Apache/MIT license.

Criteria considered:

  • Dense French-language corpus
  • FR/EU origin (sovereignty bonus)
  • Literary capability
  • Permissive license

The scoring is fully transparent: see our methodology for details on VRAM/tokens/sec calculations.

Frequently asked questions

What is the best LLM in French in 2026?

Magistral Small 24B is our #1—it benefits from a dense French-language training corpus and a France-based team. But depending on your hardware, a lighter model (Lucie 7B, Mistral 7B) may be preferable.

Lucie vs Mistral 7B: which one should you choose?

Lucie 7B is 100% sovereign (transparent corpus, trained at Jean Zay/CNRS), but its context is limited to 4k tokens and it is less versatile in English. See the full comparison.

Is there a high-performing non-French European LLM?

Yes — Teuken 7B Instruct (🇩🇪 OpenGPT-X) covers the EU's 24 languages and has a commercial Apache 2.0 license. EuroLLM 9B (EU consortium) is also solid. Comparison.

Which LLM for legal documents in French?

For French legal work, language quality comes first. Mistral Small 3.1 24B or Mistral Large 3 are the best choices if your hardware can handle them. Pair it with a Local RAG to inject your legal texts.

Head-to-head comparisons

Learn more with our detailed head-to-head matchups of the finalists:

Go further

QuelLLM Kits The reference guide by use case
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