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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.

The short answer

Free plan
Both — Llama is free to use, Mistral AI has a free plan
Public API
Both have one
Best fit
Llama: Self-hosting a capable model on your own hardware · Mistral AI: European organizations needing EU-hosted or self-hosted models
Platforms
Llama: Web · Mistral AI: Web, iOS, Android
Trust score
About even — Llama 91, Mistral AI 95

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactLlamaMistral AI
CategoryOpen-source Models & HubsFoundation Models & LLM APIs
Pricing modelFreeFreemium
Starts at—$14.99/mo
Public APIYesYes
Trust score91 / 10095 / 100
PlatformsWeb, APIWeb, iOS, Android, API
CompanyMeta Platforms, Inc.Mistral AI
Launched20232023
Last verifiedOct 22, 2026Oct 15, 2026

What our research says

Llama

Still the default choice when you need weights you can hold, fine-tune and run offline, with an ecosystem of quantisations and inference stacks built around it. The licence is not OSI-open, and Meta's web presence keeps moving: llama.com now forwards wholesale to the developer site, where Llama is listed next to the newer Muse family, so links rot faster than the models do and the roadmap looks less Llama-first than it did.

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, the Llama name prefix and the MAU cap all bind
  • Meta keeps moving the site: llama.com and llama.meta.com now forward to dev.meta.ai, where Llama shares the menu with the Muse models
  • Running it is your cost and your operational problem
  • Meta's Model API shows no public price; it is login or contact sales

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

Llama vs Mistral AI: the questions people ask

Is Llama cheaper than Mistral AI?

Llama is free to use; Mistral AI starts at $14.99/mo.

Does Llama or Mistral AI have a free tier?

Both: Llama is free to use, and Mistral AI has a free tier.

Which has a public API, Llama or Mistral AI?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

All Llama alternatives →Browse all Open-source Models & Hubs →