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Put 2–4 AI products side by side: rating, China availability, pricing tier, open source, self-hosting, capability tags, pros and cons.

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LlamaMistral
Compare AI products
Rating9.39.2
CategoryChat modelsChat models
VendorMetaMistral AI
Started20232023
RegionGlobalGlobal
China availabilityOverseas accessOverseas access
Pricing tierFree / openFree tier
Current flagshipLlama 4.2 (Behemoth / Scout / Maverick)Mistral Large 3 / Magistral
Open sourceYesYes
Self-hostableYesNo
Capability tags
Long contextMultimodalLow cost
MultimodalLow costCoding
Latest releaseJun 2026 · Llama 4.2Apr 2026 · Mistral Large 3
NotesOfficial app blocked; weights are open for self-hosting—
Strengths
  • Flagship of the open-weight ecosystem, with the richest fine-tuning and on-prem tooling
  • Long-context MoE architecture scales from single GPU to clusters at low inference cost
  • Europe's open-weight champion; free Le Chat app and competitive API pricing
  • Efficiency-first small models (Ministral/Devstral) excel on edge devices and coding
Caveats
  • The official chat app is unavailable in China; requires self-hosting or third-party instances
  • Chinese pretraining share is lower than domestic rivals; pick tuned variants for Chinese workloads
  • Chinese/Asian corpus depth trails US-CN leaders; long-form Chinese can feel stiff
  • Direct access from China is unreliable; usually routed via hosts or API gateways

Timelines are compiled from public sources and may lag. Check official sites, pricing, and changelogs before you buy or integrate. Not investment advice.

Llama vs Mistral — Comparison - AgentHub