FC SAS Token · by Fengchao SurgesModel Comparison
One key covers many models, but they are not interchangeable. The table below helps you choose by use case. Billing is unified in tokens - see Pricing.
Side by side
| Model | Strength | Context | Modality | Best for |
|---|---|---|---|---|
 DeepSeek | Reasoning, code, math | 128K | 文本 | Complex reasoning, code generation, math |
 Qwen | Full lineup, multimodal | 最长 1M | 文本 + 多模态 | Multimodal apps, self-host replacement |
 Doubao | Chinese writing, dialogue | 256K | 文本 | Chinese content, support chat, marketing copy |
 Kimi (Moonshot) | Very long context | 200K+ | 文本 | Long documents, deep research |
 Zhipu GLM | Tool calling, agents | 128K–256K | 文本 | Agents and function calling |
 Hunyuan | Chinese, WeChat ecosystem | 128K–256K | 文本 + 多模态 | Chinese workloads tied to WeChat |
 MiniMax | Text + speech + video | 200K+ | 文本 + 语音 + 视频 | Content creation, voice, video |
Context windows are the published typical ranges per vendor; exact figures depend on the model version you pick.
How to choose
- Reasoning / code / math: start with DeepSeek;
- Long documents / research: Kimi, or a long-context Qwen;
- Chinese writing / dialogue: Doubao;
- Agents / tool calling: Zhipu GLM;
- Workloads tied to WeChat: Tencent Hunyuan;
- Text + speech + video together: MiniMax.