This is where Chinese models make the strongest commercial case.
Model Input Price (per 1M tokens) Output Price (per 1M tokens)
GLM-5.2 $1.40 $4.40
Claude Opus 4.8 $5.00 $25.00
Cost Factor 3.6x cheaper 5.7x cheaper
For an agent-heavy workload where output dominates, a $1,000/day bill on Opus 4.8 drops to ~$176/day on GLM-5.2. Cached input drops to ~$0.26 per million tokens.
VentureBeat's framing: GLM-5.2 "beats GPT-5.5 on long-horizon coding at ~1/6 the cost".
Meanwhile, the Chinese model ecosystem is seeing pricing experimentation:
Doubao (ByteDance) launched a Professional tier at 68 RMB/month (~$9.50), roughly half the price of ChatGPT Plus
Baidu keeps Wenxin (Ernie) free, leveraging a full-stack technology approach (Kunlun chips, PaddlePaddle framework, Wenxin models)
DeepSeek converted its V4-Pro promotional pricing to long-term pricing
Top comments (1)
Total bang for your buck.