llmfit and llm7.io
Both tools are API gateways for various LLM providers, but AlexsJones/llmfit focuses on local hardware compatibility and finding suitable models, whereas chigwell/llm7.io emphasizes a unified API access to cloud-based models; thus, they are largely competitors, with `llmfit` potentially offering a local-first alternative or pre-screening capability for models that could then be served via an API gateway like `llm7.io`.
About llmfit
AlexsJones/llmfit
Hundreds of models & providers. One command to find what runs on your hardware.
Detects hardware specs (CPU, RAM, GPU/VRAM) and scores models across quality, speed, fit, and context dimensions to recommend which ones run efficiently on your machine. Supports dynamic quantization selection, MoE architectures, multi-GPU setups, and integrates with local runtimes (Ollama, llama.cpp, MLX, Docker Model Runner, LM Studio). Offers both an interactive TUI with vim-like modes and visual model comparison tools, plus CLI output for scripting.
About llm7.io
chigwell/llm7.io
LLM7.io offers a single API gateway that connects you to a wide array of leading AI models from various providers.
Scores updated daily from GitHub, PyPI, and npm data. How scores work