Quick Answer: Gemma 4 is Google's Apache 2.0 open-weights model with a 256K context window, free for self-hosting and fine-tuning. GPT-4o is OpenAI's closed multimodal API model with stronger reasoning and vision. Choose Gemma 4 for zero per-token cost and privacy. Choose GPT-4o for managed scale and best out-of-box quality. ...
Quick Answer: Mistral Small 3.1 is a 24 billion parameter open-weight model released March 17, 2025 under Apache 2.0. It matches or beats GPT-4o mini and Gemma 3 27B on MMLU and HumanEval while running on a single 24GB GPU, making it free for commercial use. ...
Quick Answer: MiniMax released M3, an open-weight Mixture-of-Experts model with a 1 million token context window, on June 12, 2026. It is available on Hugging Face under Apache 2.0. Developers can self-host M3 to avoid per-token API fees while processing entire codebases or long documents in one request. ...
Quick Answer: Microsoft released Aion 1.0 Instruct on June 17, 2026. The model has 3.8 billion parameters, an 8,192 token context, and an MIT license. Edge runs it locally through WebNN and WebGPU. It is about 2.2GB in 4-bit form. It handles summarization, rewriting, Q&A, and small coding tasks without sending prompts to the cloud. ...
Quick Answer: Microsoft Agent Framework is an open-source SDK for building, testing, and deploying AI agents. It shipped on June 19, 2026 under the MIT license with Python and .NET support, model-agnostic integrations, built-in memory, tool orchestration, guardrails, and evaluation. It is free to use and does not require Azure for local development. ...
Quick Answer: JetBrains released Mellum2 on June 12, 2026, a 12-billion-parameter open-source code model with a 128,000-token context window and Apache 2.0 license. It is designed for local coding assistance without per-token API fees and posts competitive code benchmark scores. JetBrains released Mellum2, a 12-billion-parameter open-source code model, on June 12, 2026. The company published the release on its official JetBrains homepage and linked to model weights on Hugging Face. Mellum2 has a 128,000-token context window and an Apache 2.0 license. The model is designed for local code generation, completion, refactoring, and bug explanation. It does not require a JetBrains IDE to operate. This release moves JetBrains from a closed AI assistant feature toward an open-weight model that developers can host themselves. It arrives during a wave of AI pricing changes and free tier limits across the industry. You can track the latest model launches in the AI updates roundup. ...
Quick Answer: The latest LLaMA.cpp release, b4892 from GitHub, landed June 17, 2026. It improves CPU AVX-512, CUDA, Metal, Vulkan, and SYCL backends, expands GGUF context handling, and adds new server parameters. It remains MIT licensed and free to run locally. On June 17, 2026, the open source LLaMA.cpp project shipped release b4892 on GitHub. The update speeds up CPU, Metal, CUDA, Vulkan, and SYCL backends. It also adds broader model support and new GGUF context options. LLaMA.cpp is an MIT licensed C and C++ inference engine. It runs large language models locally without a cloud API. This matters because developers can run current open models on a laptop, Apple silicon, AMD GPUs, or NVIDIA GPUs. There is no per token fee and no provider rate limit. The release makes local inference faster and more portable than previous versions. Users can compile it from source or download prebuilt binaries. ...
Quick Answer: Meta released Llama 4 Scout and Maverick on April 5, 2025. Scout has 109B total parameters and a 10M token context window. Maverick has 400B total parameters, 17B active, and 1M context. Both use the Llama 4 Community License and are available on Hugging Face. ...
Quick Answer: Liquid AI released LFM2.5 on June 10, 2026. It is a free open-weight model family under Apache 2.0 with three sizes from 1.3B to 12.5B parameters and 32,768-token context windows. It runs locally on phones, laptops, and edge devices without paid APIs. ...
Quick Answer: LeRobot is Hugging Face's open-source robotics library with Apache 2.0 code, ready-to-use datasets, and trainable policies like ACT and Diffusion Policy. It gives researchers a free alternative to closed robot stacks and works with low-cost arms and simulated environments. The release targets small labs, hobbyists, and robotics engineers who need full control over models and data. ...
Quick Answer: Moonshot AI launched Kimi K2.7 Code on June 18, 2026. It is a 1-trillion-parameter open-source coding model with a 128,000-token context window under a modified Apache 2.0 license. Vendor benchmarks place it ahead of DeepSeek V4 and Qwen3-Coder on SWE-bench Verified while staying free to run locally for many developers. ...
Quick Answer: Hugging Face ml-intern is an open-source autonomous ML engineer released in June 2026. It handles data cleaning, training, evaluation, and deployment. The 7B parameter agent has a 32,000 token context, Apache 2.0 license, and runs on a single GPU or free Hugging Face Spaces. ...
Quick Answer: Hugging Face ml-intern is an Apache 2.0 open-source agent released June 20, 2026. It combines a 7B parameter controller with a 32,768 token context window to automate LLM training pipelines, including data prep, config generation, and evaluation. Early benchmarks show 43.1 percent full-pipeline completion and 71.4 percent with one human correction. ...
Quick Answer: Gemma 4 is Google's newest open-weight multimodal model, released with Hugging Face support on June 10, 2026. It offers free text and image inference through Hugging Face Inference API and Google AI Studio. Four model sizes range from 2B to 27B parameters. The 27B version scores 84.1 on MMLU-Pro. Free tiers have strict rate limits. ...
Quick Answer: GitHub Copilot Chat added open LLM support through Hugging Face on June 17, 2026. Developers can pick from models like Llama 4 Scout, Mistral Small 3.2, Qwen 3 Coder, and Phi-4-mini. The update brings Apache 2.0 and community licenses to Copilot free and paid tiers. ...
Quick Answer: Hugging Face released the LeRobot Open Humanoid v0.1 on June 10, 2026. The standard kit costs $2,500 and ships with dual 6-DoF arms, a mobile base, and local 3B and 7B models. Software is Apache 2.0. Hardware is CERN OHL-P. ...
Quick Answer: HiDream-O1-Image is an open 8-billion-parameter image model from Lightricks, released June 18, 2026. It beats FLUX.2 on text alignment and prompt following in blind tests. Weights are free under Apache 2.0, so developers can run it locally or self-host without API fees. ...
Quick Answer: Lightricks shipped HiDream-O1-Image-Dev-2604 on April 26, 2026 as an open-weight text-to-image model. It uses 8B parameters, a 512-token prompt context, and an Apache 2.0 license. It runs locally and beats several paid APIs on GenEval and DPGBench. Lightricks shipped HiDream-O1-Image-Dev-2604 on April 26, 2026. The model is an open-weight text-to-image system from the team behind LTX Video and popular creator apps. It lands on Hugging Face with an Apache 2.0 license for weights and no per-image API fees. The release targets local inference, fine tuning, and commercial use without vendor lock-in. The model uses a diffusion transformer with a paired text encoder and VAE. It supports a 512 token prompt context, up from 77 tokens in older CLIP based models. That means longer prompts can hold more scene detail. It is a direct answer to closed image APIs that charge per generation. For a wider look at free image tools, see this comparison of free AI image generators. ...
Quick Answer: NousResearch launched Hermes Agent on June 16, 2026. It is a free, Apache 2.0 licensed AI agent family with 8B and 70B parameter models, a 131,072 token context window, and strong local AgentBench scores. You can run it via Hugging Face and GitHub without monthly fees. ...
Quick Answer: Headroom is an open source middleware tool released on GitHub under Apache 2.0. It reduces LLM token spend by up to 95% using prompt compression, semantic caching, and token-aware routing. Developers can run it locally or as a proxy in front of paid APIs. ...
Quick Answer: EXAONE 4.5 is a 32 billion parameter open-weight vision language model from LG AI Research. It launched on June 12, 2026, with a 128,000-token context window. The model handles images, charts, documents, and text. It uses an open license for commercial use and matches or beats several closed frontier models on document and visual reasoning benchmarks. ...
Quick Answer: Cohere Command A+ is a free, open-weight 218B-parameter mixture-of-experts model with 36B active parameters and a 128k context window. It runs on two NVIDIA H100 80GB GPUs via FP8. Released June 17, 2026, it uses a CC-BY-NC 4.0 license, so commercial use requires a separate deal. ...
Quick Answer: Zhipu AI launched GLM-5 on June 16, 2026 under an MIT license. It is a 1.4 trillion parameter mixture of experts model with a 256,000 token context window. GLM-5 beats many closed models on MMLU-Pro, coding, and math while remaining free to download, modify, and use commercially. ...
Quick Answer: The best free open-source AI data analysis tools are PandasAI, Vanna AI, RATH, and Open Interpreter. Pair them with a local model like Llama 3.2 or SQLCoder-7B to avoid API fees. DuckDB adds fast SQL queries. These tools replace paid ChatGPT Codex or Gemini data flows with code you control. ...