Kimi K2.6 — open-weight MoE with 256K context, text and image input. Sits between gpt-5.4-mini and gpt-5-mini on price with far more context.阅读更多 →
Kimi K2.7 Code2 积分
Kimi K2.7 Code — agentic coding model, 1T-parameter MoE with 256K context. Handles text, image and video input; tuned for long-context programming tasks.阅读更多 →
Qwen Max2 积分
Alibaba Qwen Max — 旗舰推理模型。在复杂任务、深度分析和结构化输出上表现顶尖。32K token 上下文。阅读更多 →
Qwen VL Max2 积分
Alibaba Qwen VL Max — 多模态旗舰。可同时接受图像和文本输入,返回文本。适用于视觉问答、OCR 和基于图像的推理。阅读更多 →
Gemini 3.5 Flash — Google 的前沿智能模型,针对速度调优,搜索与事实接地能力出众。非常适合智能体循环、长周期编程和快速迭代。1M token 上下文。阅读更多 →
Kimi K2.7 Code HighSpeed3 积分
Kimi K2.7 Code HighSpeed — same model as K2.7 Code at roughly 180 tokens/sec output, for exactly 2x the price. Pick this only when latency matters more than cost.阅读更多 →
Kimi K3 — Moonshot's flagship, 2.8T-parameter MoE with native visual understanding and a 1M-token context. Priced level with Claude Sonnet 4.5 for materially more context.阅读更多 →
提示词: give me a e commerce project for data engineer with contain 25 lac record csv file and record contain nullable ,durty , uncleane data and column contain