国产大模型参数规模持续攀升，Qwen3.8Max、Kimi K3已分别达2.4万亿和2.8万亿。字节跳动计划训练超5万亿参数模型，有望成为国内最大，但项目尚处早期，未必发布。5万亿参数被视为GPT-5.6或Opus5级别，标志着能力进一步跃升。
据《晚点》报道，字节跳动正讨论训练参数超5万亿的大语言模型，若落地将超越阿里通义千问（2.4万亿）和月之暗面Kimi K3（2.8万亿），成为国内最大。项目由Seed Foundation负责人项亮主导，尚处早期，涉及预训练数据，发布时间未定。
月之暗面于7月28日开源2.8万亿参数大模型Kimi K3，支持100万token上下文与视觉理解，采用KDA混合注意力机制。同日，摩尔线程宣布基于MTT S5000智算卡完成对其的快速适配与稳定运行，实现国产算力与开源大模型的协同突破。
摩尔线程宣布已为月之暗面开源的2.8万亿参数Kimi K3模型完成适配，基于自研MTT S5000训推一体卡与MUSA软件栈，实现极速稳定运行，为国产算力支撑万亿大模型再添底气。
Alibaba
$6
输入tokens/百万
$24
输出tokens/百万
256
上下文长度
Moonshot
$4
$16
Tencent
$1
32
Openai
$0.4
-
128
$0.63
$3.15
131
Chatglm
$2
$8
$0.3
$0.75
$0.5
$2.4
$9.6
Google
$0.7
$1.4
Minimax
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