This repository collects prompts, system prompts, and instructions for large language models.
The Best Llm Prices Alternatives in 2026
Looking for something like Llm Prices? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 8 are open source.
llm-prices provides language model pricing data and makes it available through a JSON API.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | The Big Prompt Library | — | Yes | Linux |
| 2 | Hannibal046/Awesome-LLM: Awesome-LLM | — | Yes | — |
| 3 | Awesome ChatGPT | — | Not stated | — |
| 4 | Awesome Local LLM | — | Yes | — |
| 5 | LocalModelsLinks | — | Not stated | Web |
| 6 | Wolfram LLM Benchmarking Project | — | Not stated | Web |
| 7 | LLM Resources Hub | — | Not stated | Web |
| 8 | LLM Model VRAM Calculator | — | Not stated | Web |
| 9 | IUMB | — | Not stated | Web |
| 10 | Screenpipe | — | Not stated | — |
All Llm Prices alternatives
A curated list of large language model resources maintained in the Awesome-LLM repository.
Awesome ChatGPT
github.com/uhub/awesome-chatgptThis repository curates frameworks, libraries, and software for large language models.
This repository curates platforms, tools, practices, and resources for running language models locally.
LocalModelsLinks
rentry.org/LocalModelsLinksLocalModelsLinks collects guides and references for running and tuning language models locally.
Wolfram LLM Benchmarking Project
wolfram.com/llm-benchmarking-projectThe Wolfram LLM Benchmarking Project tracks model performance on a code-generation task written in Wolfram Language.
LLM Resources Hub
llmresourceshub.vercel.appThe LLM Resource Hub collects language model tools, resources, and learning materials.
LLM Model VRAM Calculator
huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-…Estimate language model memory requirements by selecting a Hugging Face model, GPU, context length, and quantization.
IUMB
pellaml.github.io/iumbIUMB benchmarks language models on undergraduate-level mathematics problems.
Screenpipe
github.com/mediar-ai/screenpipeScreenpipe records screen activity locally and provides context to AI agents.
PromptEngineering
github.com/NirDiamant/Prompt_EngineeringThis repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.
This repository curates tools and projects built with the LangChain framework.
Awesome LLM Resources
github.com/ilsilfverskiold/Awesome-LLM-Resourc…This repository curates resources for applied AI engineering, including tools and other materials for practitioners.
SEAL LLM Leaderboards
scale.com/leaderboardSEAL LLM Leaderboards presents expert-driven benchmarks and rankings across coding, reasoning, and other areas.
GPT-3 Demo
gpt3demo.com800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
SpeechMap data stores versioned model responses and production compliance analyses.
This list tracks front-end GUI clients for ChatGPT, Claude, and other language models.
This repository collects machine learning resources, including language models, tools, interfaces, and retrieval systems.
Awesome AI Models curates links to AI models and large language models.
BradyFU/Awesome-Multimodal-Large-Language-Models
github.com/BradyFU/Awesome-Multimodal-Large-La…This repository curates research and resources about multimodal large language models.
Mooler0410/LLMsPracticalGuide
github.com/Mooler0410/LLMsPracticalGuideA curated list of practical resources about large language models, including examples, papers, and model trees.
Model Context Protocol
modelcontextprotocol.ioThe Model Context Protocol documentation explains a protocol for connecting models with external tools and data.
Run the llm command-line tool to access and work with large language models from a terminal.
LM Council
lmcouncil.ai/benchmarksLM Council compares language models across benchmarks including math, science, and software engineering, with source links and checked dates.
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