模型

浏览来自所有提供商的 3 个标准化 LLM 模型

显示第 1–3 项,共 3 个模型

Gemma 4 12B

美国

Google's medium-size open-weight model with 12 billion parameters from the Gemma 4 family. Encoder-free unified multimodal architecture that natively processes text, image, audio, and video inputs without dedicated encoders. Features a 256K context window and supports 140+ languages. First medium-sized model capable of natively ingesting audio. Suitable for local deployment on GPUs with 16GB VRAM.

上下文
262K
发布日期
2026年6月

Gemma 4 31B

美国

Google's flagship open-weight dense model with 31B parameters. All parameters active per forward pass. Ranks among top open models with strong performance on AIME 2026 (89.2%) and MMLU Pro (85.2%). Supports vision and extended context.

上下文
262K
发布日期
2026年4月

Mistral Large 3

法国

Mistral AI's largest open-weight model with 41B active parameters (675B total MoE). State-of-the-art general-purpose multimodal model with 256K context window and powerful agentic capabilities. Released under Apache 2.0.

上下文
256K
发布日期
2025年12月