# Mistral Large 3 vs Llama 4: which open-weight LLM should you self-host?

**Source:** https://promtable.com/compare/mistral-vs-llama-4

> Mistral Large 3 is the European frontier — strong, EU-hosted, GDPR-clean. Llama 4 Maverick has the largest community, biggest ecosystem, and MoE efficiency. Pick Mistral for EU-first, Llama for ecosystem depth.

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Mistral Large 3 is the European frontier — strong, EU-hosted, GDPR-clean. Llama 4 Maverick has the largest community, biggest ecosystem, and MoE efficiency. Pick Mistral for EU-first, Llama for ecosystem depth.

## At a glance

| Dimension | Mistral Large 3 | Llama 4 Maverick |
|---|---|---|
| Open weights | Yes (research / commercial split) | Yes (Llama Community License) |
| Reasoning + code | Strong | Strong |
| Architecture | Dense + MoE variants | MoE |
| Context window | ~128K | **~1M (with sliding window)** ✓ |
| Function calling | **Best in tier** ✓ | Solid |
| Community + ecosystem | Strong in EU | **Largest in the world** ✓ |
| Multilingual | **Strongest in EU languages** ✓ | Best on English, solid multilingual |
| EU-hosting / GDPR | **EU-based provider** ✓ | Self-host or third-party |

## Verdict

Mistral Large 3 is the right pick for EU-first deployments, GDPR-sensitive industries, and teams that value tight function calling. Llama 4 Maverick is the right pick when ecosystem depth, the largest community, and MoE efficiency at huge scale matter most. For most self-hosted production workloads in 2026 it comes down to which inference stack and tooling your team already uses.

## When to pick which

- **Mistral Large 3** — EU residency, GDPR, strong function calling, European-language work.
- **Llama 4 Maverick** — Largest community, deepest ecosystem, MoE efficiency, long-context jobs.

## FAQ

### Which is better for coding, Mistral or Llama?

Both are competitive on code in 2026. Llama 4 has a slight edge on most public code benchmarks; Mistral wins on tool-use reliability for code agents.

### Best open-weight model for EU compliance?

Mistral Large 3 — French provider, EU-hosted, GDPR-clean.

### Cheapest at scale?

Both are open weights, so per-inference cost depends on your GPUs. MoE variants (Llama 4) win at very high scale because of activated-parameter efficiency.

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*Last updated: 2026-06-01*
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