edgepedia

Model families and named models

525 articles

General

Code Llama

Code Llama is a family of open-weight large language models for programming, built by Meta from Llama 2 and first released in August 2023 in 7B to 34B sizes.

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CodeGeeX

CodeGeeX is a family of code-generation models from Tsinghua University's KEG lab and Zhipu AI, first released in 2022, with an IDE plugin for code completion and generation.

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Codestral

Codestral is a family of code-specialized large language models developed by Mistral AI, first released in May 2024 as a 22B model trained on more than 80 programming languages.

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Codex (2021 model)

Codex was a large language model released by OpenAI in 2021, a GPT model fine-tuned on public GitHub code to write Python programs from natural-language descriptions.

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Coding agent harness

A coding agent harness is the software layer that surrounds a code model with a tool registry, execution loop, context management, and permissions, turning a stateless model into an agent for long-running software work.

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CogVideoX

CogVideoX is an open-source text-to-video and image-to-video diffusion-transformer model family first released in 2024 by Zhipu AI, described as the first commercial-grade open-source video generation model.

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CogView

CogView is a family of Chinese text-to-image generation models developed by Zhipu AI and Tsinghua University, beginning in 2021 and continuing through CogView4 in 2025.

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CogVLM

CogVLM is an open-source vision-language model family from Tsinghua University's KEG lab and Zhipu AI, first published in November 2023 and known for trainable visual expert modules.

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CogVLM and CogAgent

CogVLM and CogAgent are open vision-language model families from Tsinghua University's KEG group and Zhipu AI, first released in late 2023 for image understanding and GUI agents.

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Cohere Embed

Cohere Embed is a family of enterprise embedding models by Cohere for semantic search and retrieval-augmented generation; its flagship, Embed v4, launched in April 2025.

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Command (model family)

Command is a family of large language models developed by Cohere for enterprise workloads, centered on retrieval-augmented generation, tool use, and agents, with releases from 2024 through 2026.

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Command A (Cohere)

Command A is a large language model developed by the Canadian AI company Cohere, released in March 2025 as the flagship of its enterprise-focused Command family.

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Command A+

Command A+ is Cohere's flagship enterprise large language model, released on May 20, 2026 as the company's first Mixture-of-Experts architecture and its first fully Apache 2.0 open-weights release.

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Command R+

Command R+ is a 104-billion-parameter, open-weights large language model from Cohere, released in April 2024 and optimized for retrieval-augmented generation with citations and multi-step tool use in enterprise workloads.

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Composer (model family)

Composer is a family of code-specialized large language models developed by Cursor (Anysphere) for long-horizon agentic coding tasks, post-trained from Kimi K2.5 and available only inside Cursor's products.

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CosyVoice

CosyVoice is an open, multilingual, zero-shot text-to-speech and voice-cloning model family from Alibaba's FunAudioLLM project, first published in July 2024, with open weights and a commercial Alibaba Cloud service.

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Cursor (coding agent)

Cursor is an AI-native IDE and coding agent built by Anysphere as a fork of VS Code, first released in 2023, running on its own Composer models.

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Cursor Composer

Cursor Composer is a family of proprietary agentic coding models built by Anysphere, first released in October 2025 as the company's first in-house large language model.

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DALL-E

DALL-E is a family of OpenAI text-to-image systems that creates images from natural-language descriptions, with versions released in 2021, 2022, and 2023 before retirement in 2026.

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DALL-E 2

DALL-E 2 is an OpenAI text-to-image model released in April 2022 that generates photorealistic images from captions, edits images by text instruction, and produces variations.

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DALL-E 3

DALL-E 3 is a text-to-image model announced by OpenAI on September 20, 2023, integrated into ChatGPT and trained largely on synthetic captions for better prompt following.

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DALL-E Mini

DALL-E Mini was an independent, open-source text-to-image model created in 2021 by Boris Dayma, whose distorted images went viral in mid-2022 before rebranding as Craiyon.

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DBRX

DBRX is an open-weight mixture-of-experts large language model released by Databricks on March 27, 2024, with 132 billion total parameters and 36 billion active per input.

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DeepFloyd IF

DeepFloyd IF is a cascaded pixel-diffusion text-to-image model released in research form by Stability AI's DeepFloyd lab in April 2023, notable for rendering legible text inside images.

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DeepSeek (model family)

DeepSeek is a family of open-weight large language models built on mixture-of-experts architecture, spanning DeepSeekMoE, V2, V3, and the reasoning models R1 and R1-Zero, published across 2024 and January 2025.

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DeepSeek V3.2 release

DeepSeek V3.2 is an open-weight large language model released by the Chinese AI lab DeepSeek on December 1, 2025, whose new sparse-attention mechanism cuts long-context costs while holding quality level with the previous version.

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DeepSeek V4 release

DeepSeek V4 is a pair of open-weight mixture-of-experts language models, DeepSeek-V4-Pro and DeepSeek-V4-Flash, released by the Chinese AI lab DeepSeek in April 2026 under the MIT license with million-token context windows.

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DeepSeek-Coder

DeepSeek-Coder is a family of open-weight code language models released by the Chinese AI lab DeepSeek starting in November 2023, in sizes from 1.3B to 33B parameters.

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DeepSeek-R1

DeepSeek-R1 is an open-weight reasoning model released by China's DeepSeek lab in January 2025, trained with reinforcement learning to match OpenAI's o1 and downloadable under the MIT license.

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DeepSeek-V3

DeepSeek-V3 is an open-weight Mixture-of-Experts large language model with 671 billion total parameters, 37 billion active per token, released in December 2024 by the Chinese AI lab DeepSeek.