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2.0 KiB
Chinese AI Model Platforms Reference
Major Providers & Model Families
| Provider | Platform | Model Family | Notes |
|---|---|---|---|
| 商汤 SenseTime | cloud.sensenova.cn | SenseNova (6.7B, U1, etc.) | Named as sensenova-* in APIs |
| 深度求索 DeepSeek | platform.deepseek.com | DeepSeek-V3/V4, R1, Coder | deepseek-* naming |
| 阿里 Alibaba | dashscope.aliyun.com | Qwen (通义千问) | qwen-* naming |
| 字节跳动 ByteDance | volcengine.com | Doubao (豆包) | doubao-* naming |
| 月之暗面 Moonshot | platform.moonshot.cn | Kimi | moonshot-* naming |
| 智谱 Zhipu | open.bigmodel.cn | GLM (ChatGLM) | glm-* naming |
| 百度 Baidu | cloud.baidu.com | 文心 ERNIE | ernie-* naming |
| 零一万物 01.AI | platform.lingyiwanwu.com | Yi | yi-* naming |
| MiniMax | platform.minimaxi.com | MiniMax (M2.7, etc.) | minimax-* naming |
| 小米 Xiaomi | mimo.xiaomi.com | MiMo | mimo-* naming |
Common Model Naming Patterns
*-flash/*-lite→ lightweight/fast inference variants*-fast→ speed-optimized, may sacrifice some quality*-instruct→ instruction-tuned for chat*-coder/*-code→ code-specialized*-v1,*-v2,*-v3→ version iterations- Parameter count often embedded:
6.7B,72B, etc.
How to Research an Unknown Model
- mmx search with model name + "评测" or "benchmark"
- Check the provider's official docs (see table above)
- Check LMSYS Chatbot Arena leaderboard (lmarena.ai)
- Check non-linear Chinese LLM benchmark (github.com/jeinlee1991/chinese-llm-benchmark)
Quick Classification Heuristics
- If name contains a provider prefix (sensenova, deepseek, qwen...) → look up that provider
- If name contains parameter count (6.7B, 7B, 72B) → compare against known models of similar size
- If name contains "flash/lite/fast" → speed variant, likely lower quality than base model
- "Lite" models: often 1B-7B range, good for simple tasks
- "Flash/Fast" models: optimized inference, may use MoE or quantization