20+ models
A large language model that can use text prompts to generate and discuss code.
CodeQwen1.5 is a large language model pretrained on a large amount of code data.
Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases.
As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.
Z.ai's first natively multimodal model, approaching Claude Opus 4.8 on coding and agentic benchmarks with just 18B active parameters.
SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.
Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.
An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.
Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.
The smallest model in Cohere's R series delivers top-tier speed, efficiency, and quality to build powerful AI applications on commodity GPUs and edge devices.
A new state-of-the-art version of the lightweight Command R7B model that excels in advanced Arabic language capabilities for enterprises in the Middle East and Northern Africa.
Command R is a Large Language Model optimized for conversational interaction and long context tasks.
Cohere For AI's language models trained to perform well across 23 different languages.
Llama Guard 3 is a series of models fine-tuned for content safety classification of LLM inputs and responses.
A new collection of open translation models built on Gemma 3, helping people communicate across 55 languages.
The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.
Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.
Qwen3-Coder-Next is a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.
IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.
A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.