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中国大模型周调用量达67.46万亿Token，连续21周领先美国
据 OpenRouter 数据，9月14日至20日全球大模型总 token 调用量达129万亿，环比增1.57%。其中中国大模型周调用量67.46万亿 token，环比增10.28%；美国为14.21万亿 token，环比降34.7%，中国已连续21周超过美国。周榜前五中四款来自中国：DeepSeek V4.1-Flash 以15.8万亿 token 居首（环比增219%），该模型9月10日发布，主打编码、Agent 与多模态理解，采用 Causal-Encoder-Decoder 架构，全局 KV Cache 降至 V4-Flash 约1/4，空闲时段输入缓存命中/未命中及输出每百万 token 价格分别为0.02元、1元、4元。Artificial Analysis 测试显示其单任务平均输出约8.9万 token，高于 V4Flash0731 的6.2万，被评价为输出较冗长。Zhipu GLM5.3Flash（14.1万亿）、腾讯混元 Hy4preview（12.5万亿）分列二、三，DeepSeek-V4-Flash-0731（9.44万亿）第五。
AI推荐理由 引用 OpenRouter 的周度 token 调用数据，给出中美对比及 DeepSeek V4.1-Flash 等具体模型排名与定价、架构信息，信息密度较高；但来源为 AIbase 转述，未提供 OpenRouter 原始链接或可核验数据，且部分模型名称（如 DeepSeek V4.1-Flash、GLM5.3Flash）无法独立确认，属二手转述，需保留不确定性。
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正文
China's Large Model Weekly Usage Reached 67.46 Trillion Tokens, Maintaining a 21-Week Lead Over the United States
AIbase基地
Published inAI News · 3 min read · Sep 21, 2026
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According to the latest data from OpenRouter, the total token usage of global AI large models from September 14 to 20 reached 129 trillion tokens, an increase of 1.57% compared to the previous week. Among them, the weekly token usage of large models in China reached 67.46 trillion tokens, an increase of 10.28% compared to the previous week; while that of large models in the United States was 14.21 trillion tokens, a decrease of 34.7% compared to the previous week. The weekly token usage of large models in China has exceeded that of the United States for 21 consecutive weeks.
In last week's global token usage ranking, four out of the top five were from China. DeepSeek V4.1-Flash ranked first with 15.8 trillion tokens, an increase of 219% compared to the previous week. The model was released on September 10, focusing on improving coding, agent, and multimodal understanding capabilities. It uses a Causal-Encoder-Decoder architecture, and the global KV Cache is reduced to about 1/4 of that in V4-Flash. The cost for input cache hit, miss, and output per million tokens during idle time are 0.02 yuan, 1 yuan, and 4 yuan respectively, which are 60%, 33.3%, and 11.1% lower than the previous generation.
However, a decrease in token price does not necessarily mean that the cost of individual tasks decreases simultaneously. According to Artificial Analysis testing, V4.1-Flash uses approximately 89,000 output tokens per task on average, higher than the 62,000 tokens of V4Flash0731, and it has been evaluated as relatively verbose in output.
Additionally, Zhipu GLM5.3Flash had a weekly token usage of 14.1 trillion tokens, ranking second; Tencent HuanYuan Hy4preview had a weekly token usage of 12.5 trillion tokens, ranking third; and DeepSeek-V4-Flash-0731 had a weekly token usage of 9.44 trillion tokens, ranking fifth.
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