Models

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a…

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total.

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context…

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek.

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications.

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications.

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency.

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows.

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks.

GLM 5.2 is a large-scale reasoning model from Z.ai.

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and…

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>).

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model…

MiMo-V2.5 is a native omnimodal model by Xiaomi.

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity.

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning…

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue.

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open…

Step 3.5 Flash is StepFun's most capable open-source foundation model.