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LLaMA vs Mistral AI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Mistral AI publishes a starting price ($14.99); LLaMA does not. Both have a free tier. Both ship a public API.

LLaMAMeta's family of open-weight LLMs, downloadable under a community licence with a 700M-MAU carve-out.Mistral AIFrench model lab offering open and commercial LLMs, the Vibe assistant, and an EU-hosted API and cloud

Side by side

FactLLaMAMistral AI
CategoryOpen-source Models & HubsFoundation Models & LLM APIs
Pricing modelFreeFreemium
Starts at—$14.99 month
Public APIYesYes
PlatformsWeb, APIWeb, iOS, Android, API
CompanyMeta Platforms, Inc.Mistral AI
Launched20232023
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

LLaMA

The default choice when you need weights you can actually hold, fine-tune and run offline, with an ecosystem of quantisations and inference stacks already built around it. The licence is not OSI-open, and Meta has been reorganising the Llama web presence, so links rot faster than the models do.

Pros

  • Weights are downloadable, not just API-accessible
  • Broad tooling support: llama.cpp, vLLM, Hugging Face and most inference runtimes
  • Multiple sizes so you can trade quality against a single GPU
  • Commercial use permitted for almost everyone under the MAU threshold

Cons

  • Community licence is not open source; attribution and the MAU cap both bind
  • Download links are pre-signed and expire after 24 hours or five uses
  • Meta keeps moving the site: llama.meta.com now forwards twice before landing
  • Running it is your cost and your operational problem

Mistral AI

The pragmatic choice when EU data residency, self-hosting or open weights are requirements rather than preferences, with API prices set aggressively below the US frontier labs. The catch is that its top models still trail OpenAI, Anthropic and Google on the hardest tasks, and constant product renaming — Le Chat is now Vibe — keeps documentation confusing.

Pros

  • EU sovereignty options: Mistral Cloud in Europe, self-hosting, hyperscaler listings
  • Several models published with open weights
  • Low per-token prices plus 50% batch and up to 90% cache discounts
  • Assistant subscriptions bundle monthly API credit for developers

Cons

  • Model quality typically a step behind the top US labs
  • Frequent rebrands (Le Chat to Vibe) and a sprawling product list
  • Enterprise features like custom models sit behind sales conversations

Which one fits

Choose LLaMA if you need

  • Self-hosting a capable model on your own hardware
  • Fine-tuning on private data that cannot leave your network
  • Teams wanting an exit from per-token API pricing

Choose Mistral AI if you need

  • European organizations needing EU-hosted or self-hosted models
  • Cost-sensitive API workloads that can exploit batch and caching discounts
  • Teams standardizing on open-weight models they can also run locally

More comparisons

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