The Best Upstage Alternatives in 2026

Sagify describes its project as a way to work with large language models and machine learning more easily.

FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.

Forefront provides a platform for fine tuning and running inference with open source language models.

TensorRT-LLM provides Python and C++ runtimes with optimizations for language model inference on NVIDIA GPUs.

OneCompression is a Python package for compressing large language models.

LLM Gateway routes, manages, and analyzes requests across more than 40 language-model providers through one API.

LiteLLM provides a way to call more than 100 language models through an OpenAI-compatible interface.

Kimi K2 handles complex language tasks, reasoning, and problem-solving through an AI model developed by Moonshot AI.

Flaq offers one API for accessing AI image, video, 3D, music, and language models.

Mirai Labs builds uzu, a Rust LLM engine for Apple devices, with compact Qwen, LFM, and Muse-Glimmer models.

OptiMate is a collection of libraries for optimizing AI model performance; the repository is marked as a legacy project.

OpenModelZ scales LLM inference on Kubernetes with engines including vLLM, SGLang, and LMDeploy.

Vercel’s AI SDK is a TypeScript toolkit for building AI applications and agents with React, Next.js, Vue, Svelte, and Node.js.

MLflow helps teams build AI products by debugging, evaluating, monitoring, and improving AI applications.

Compose, test, and optimize prompts for language-model applications in Promptmetheus, an IDE supporting more than 100 models.

Eden AI routes requests across language and other AI models through a unified API with provider options.

Ray provides an AI compute engine with a distributed runtime and libraries for machine learning workloads.

DeepLake provides multimodal data infrastructure for AI agents, including retrieval and training.

traceAI provides open source tracing for AI applications and frameworks using OpenTelemetry.

Helicone provides open-source observability for LLM applications, with tools to monitor, evaluate, and experiment.

Ollama runs language models locally and provides tools to work with model files and APIs.

OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.

Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.

Valohai provides MLOps tools for comparing, evaluating, and shipping configurations for AI products using specialized models.