Модели

4 канонические LLM-модели от всех провайдеров

Показаны модели 1–4 из 4

MiniMax M3

Китай

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.

Контекст
1.0M
Добавлена
июнь 2026 г.

DeepSeek V4 Flash

Китай

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.

Контекст
1.0M
Добавлена
апр. 2026 г.

DeepSeek V4 Pro

Китай

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.

Контекст
1.0M
Добавлена
апр. 2026 г.

Kimi K2.6

Китай

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.

Контекст
1.0M
Добавлена
март 2026 г.