Local-First Code Generation

Meta's open-weights multimodal MoE family (Scout & Maverick).

High-performance open MoE LLM rivaling closed frontier models on benchmarks.

Open reasoning model trained with RL, competitive with o1-class systems.

European frontier LLM strong at code, math and multilingual tasks.

Open multilingual model family with hybrid thinking modes.

Code-specialised open model covering 80+ programming languages.

Open-weights instruct model competitive with much larger LLMs.

Sparse mixture-of-experts open model.

Open agentic coding model built with All Hands AI.

Open agentic coding model in the Qwen3 family.

Trillion-parameter open MoE model with strong agentic skills.

Open-source CLI pair-programmer using your favorite LLM.

Open-source AI code assistant for VS Code & JetBrains.

Open enterprise-ready foundation models.

Open enterprise LLM optimised for SQL and coding.

Open software stack for GPU compute and AI on Instinct & Radeon hardware.

Open toolkit to optimize and deploy AI inference across Intel CPUs, GPUs and NPUs.

Open enterprise LLM family for code, language and time series.

Open MoE LLM by Databricks for enterprise customization.

Long-context open agentic model from Moonshot, strong on tool use and coding.

Open bilingual frontier model from Zhipu, competitive on coding and reasoning.

In recent months, our focus has been on developing a “good” model while optimizing the developer experience.

Meta's language model tracked by Epoch, focused on chat.

We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.

Modern artificial intelligence (AI) systems are powered by foundation models.

DeepSeek's language model tracked by Epoch, focused on language modeling/generation.

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

China Telecom's language model tracked by Epoch, focused on language modeling/generation.

NVIDIA's vision, language model tracked by Epoch, focused on language modeling/generation.

Tsinghua University's mathematics model tracked by Epoch, focused on mathematical reasoning.

QwQ is the reasoning model of the Qwen series.

We present EXAONE Deep series, which exhibits superior capabilities in various reasoning tasks, including math and coding benchmarks.

In this report, we introduce ERNIE 4.5, a new family of large-scale multimodal models comprising 10 distinct variants.

We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.

We’re sharing the first models in the Llama 4 herd, which will enable people to build more personalized multimodal experiences.

We’re sharing the first models in the Llama 4 herd, which will enable people to build more personalized multimodal experiences.

Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models.

We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1.

This technical report introduces EXAONE 4.0, which integrates a Non-reasoning mode and a Reasoning mode to achieve both the excellent usability of EXAONE 3.5 and the advanced reasoning abilities of EXAONE Deep.

Today, we're announcing Qwen3-Coder, our most agentic code model to date.

Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models.

Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models.

We introduce LongCat-Flash, a 560-billion-parameter Mixture-of-Experts (MoE) language model designed for both computational efficiency and advanced agentic capabilities.

Large language models (LLMs) have evolved into agentic systems capable of autonomous tool use and multi-step reasoning for complex problem-solving.

Ling-1T is the first flagship non-thinking model in the Ling 2.0 series, featuring 1 trillion total parameters with ≈ 50 billion active parameters per token.

Today, we are officially open-sourcing and launching MiniMax M2, a model born for Agents and code.

Today, we are introducing Kimi K2 Thinking, our best open-source thinking model.

Zhipu AI's language model tracked by Epoch, focused on language modeling/generation.

MiniMax's language model tracked by Epoch, focused on chat.

Today, we're announcing Qwen3-Coder-Next, an open-weight language model designed specifically for coding agents and local development.