Models

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out).

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.

Open-weights text model from Cactus-Compute on Hugging Face (apache-2.0).

Qwen2.5 72B is the latest series of Qwen large language models.

Qwen2.5 7B is the latest series of Qwen large language models.

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen).

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

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active…

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

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.

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

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code…

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces.

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.

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions.

Open-weights 7.94B-parameter text model from k-chirkunov on Hugging Face (gemma).

Open-weights 33.44B-parameter text model from poolside on Hugging Face (apache-2.0).

Open-weights 1.17B-parameter text model from LiquidAI on Hugging Face (lfm1.0).

Open-weights 1.08B-parameter text model from openbmb on Hugging Face (apache-2.0).