模型

浏览来自所有提供商的 4 个标准化 LLM 模型

显示第 1–4 项,共 4 个模型

MiniMax M3

中国

MiniMax's frontier open-weight model with 1M-token context window, native multimodality (text, image, video), and strong coding capabilities. Built on MiniMax Sparse Attention (MSA) architecture, achieving 59% on SWE-Bench Pro with significantly improved efficiency at long context.

上下文
1.0M
发布日期
2026年6月

DeepSeek V4 Flash

中国

DeepSeek's efficient V4 model with 284B total parameters (13B activated). Optimized for speed and cost-efficiency while maintaining strong performance. Supports 1M token context window.

上下文
1.0M
发布日期
2026年4月

DeepSeek V4 Pro

中国

DeepSeek's flagship V4 model with 1.6T total parameters (49B activated). MoE architecture supporting 1M token context. Closes the gap with frontier proprietary models on reasoning and coding benchmarks.

上下文
1.0M
发布日期
2026年4月

Kimi K2.6

中国

Moonshot AI's latest model with ultra-long context window support, strong reasoning capabilities, and excellent performance on complex multi-step tasks. Known for reliable long-document understanding.

上下文
1.0M
发布日期
2026年3月