Pick open-weight or Chinese models on the left and Western frontier models on the right. Every pairing gets a cost matchup at your workload, with intelligence score, jurisdiction risk, and data-derived pros and cons.
Puts an open-weight model (GLM, Qwen, Kimi, DeepSeek) side by side with a Western frontier model (Claude, GPT, Gemini, Grok) and prices both on the same workload, so you see the real cost gap - and the jurisdiction tradeoff that comes with it.
Cost = (input × input rate + output × output rate) ÷ 1M × calls/month, at the workload above. Risk and license are curated by aicost.ai (not vendor-official) and reflect the default provider endpoint — self-hosting open weights or routing via a non-China gateway lowers the band. AAI = Artificial Analysis Intelligence Index (independent); blank where not yet scored. Western frontier models are API-only; the comparison is on running cost and data jurisdiction, not redistribution rights.
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