Looking for something like NExT-Chat: An LMM for Chat, Detection and Segmentation? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 9 are open source.
This paper presents NExT-Chat, a large multimodal model for chat, detection, and segmentation.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Word-As-Image for Semantic Typography | — | Not stated | Web |
| 2 | Qwen3-VL | — | Yes | — |
| 3 | Imagen | — | Not stated | Web |
| 4 | Alpaca | — | Not stated | Web |
| 5 | Janus / Janus-Pro | — | Yes | — |
| 6 | DeepSeek-R1 | — | Yes | — |
| 7 | Kimi K2 | — | Not stated | — |
| 8 | GLM-5.1 | — | Yes | — |
| 9 | Qwen3-Coder | — | Not stated | — |
| 10 | joonspk-research/generative agents - Generative Agents | — | Yes | — |
This research paper presents Word-As-Image, a method for incorporating semantic meaning into typography.
The Qwen3-VL model family provides multimodal large language models from Alibaba Cloud.
Google Research introduced Imagen as a text-to-image diffusion model in this research paper.
The Stanford Alpaca project presents a replicable instruction-following language model and its research materials.
Janus combines multimodal understanding and image generation models in a unified model series.
The DeepSeek-R1 repository links to its reasoning research paper and provides related model materials.
Moonshot AI develops the Kimi K2 large language model series and publishes its source repository.
The GLM-5 repository presents language models for agentic engineering and coding.
Qwen3-Coder provides a code-focused model in the Qwen family of large language models.
Repository accompanying the paper Generative Agents: Interactive Simulacra of Human Behavior, containing the core simulation module for agents that simulate believable human behaviors and their game environment.
This repository provides a PyTorch implementation of a CVPR paper on high resolution representations for human pose estimation.
The S4 repository presents structured state space sequence models for sequence modeling research.
Use SmolVLA, a vision-language-action model trained on data from the LeRobot community, for robotics research.
Falcon LLM is described as a generative language model from the Technology Innovation Institute for a range of AI applications.
Muse is a text-to-image model that also supports editing images through its generative transformer approach.
The ERNIE blog announces model releases and shares information about training and evaluation results.
This timeline documents developments in AI image and video generation models.
Stanford CoreNLP provides natural language analysis tools that process raw text into linguistic annotations.
CLIPasso explores semantically aware object sketching as a research project.
The Stanford AI Index gathers data about artificial intelligence for researchers, policymakers, journalists, and the public.
Bittensor is an open machine intelligence network where subnets produce digital commodities such as compute and inference, with contributors earning TAO.
MobiLlama is a small language model designed for edge devices, according to its repository description.
Point·E is a research project that generates 3D point clouds using diffusion models.
This repository accompanies research on improving language model factuality and reasoning through multi-agent debate.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
