Llama vs Mistral AI
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Llama
Meta's open-weight LLM family — Llama 4 landed, Behemoth didn't
Visit
|
Mistral AI
European frontier-model lab
Visit
|
|
|---|---|---|
| RECATOOLS Score | 8.3 / 10 | 8.4 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Freemium |
| Free tier | Free model weights for download and local use | Free open-weight models for self-hosting |
| Paid from | — | $0.14/1M tokens (Mistral Small via API) |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 10m+ downloads | 500k+ API users |
| Founded | 2023 | 2023 |
| Maker | Meta Platforms | Arthur Mensch, Guillaume Lample, Timothee Lacroix |
| Verdict | Llama is still the backbone of the open-weight LLM ecosystem — Llama 2 and 3 built it, and Llama 4 (Scout and Maverick, shipped April 2025) kept it going, with a huge footprint on Hugging Face, Ollama, Together AI and Fi... |
Mistral is the strongest European alternative to the US labs, and its open-weight releases are the reason: Mistral Large 3 (December 2025) ships as a 675B-parameter MoE under Apache 2.0 with a 256K context window, Medium... |
| Full review → | Full review → |
← Back to AI Directory
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.