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Gemini Code Assist Free

Google announced in March 2026 that Gemini Code Assist is now free for individual developers. The free tier includes code completions, chat-based assistance, multi-file editing, unit test generation, and the finish changes AI pair programmer mode, all powered by the same tailored Gemini 2.0 model used in the paid Standard and Enterprise tiers. Daily limits are generous at 6,000 code-related requests and 240 chat requests, equivalent to roughly 180,000 code completions per month. Supported IDEs include VS Code, JetBrains IDEs, and Android Studio, with CLI and GitHub integration also included.

Google Gemma 4

Google DeepMind has released Gemma 4, a family of open-weight language models in four sizes (E2B, E4B, 26B MoE, and 31B Dense) under the Apache 2.0 license. The new release brings dramatic benchmark gains over Gemma 3, with AIME 2026 math jumping from 20.8% to 89.2%, LiveCodeBench coding from 29.1% to 80.0%, and GPQA science from 42.4% to 84.3%. The flagship 31B Instruct variant ranks #3 on Arena AI text leaderboard at 1452 Elo, outperforming closed models twenty times its size. Gemma 4 ships with day-one support for Hugging Face, Kaggle, Ollama, and Google Cloud Vertex AI.

Google Gemma 3

Google's Gemma 3 models are making significant strides in the open-source AI community. These models, ranging from 270M to 27B parameters, are designed for high efficiency and versatility, capable of running on devices from smartphones to consumer GPUs. Key features include multimodal capabilities, an expanded context window, multilingual support, and efficient fine-tuning. The models offer high performance with a smaller footprint, making them ideal for on-device applications. With open-source availability, developers can use, modify, and distribute the models for commercial purposes. Safety measures ensure responsible usage, and Gemma 3's accessibility democratizes AI development, enabling innovative and cost-effective solutions.

Gemma 3: Google Open-Source Gambit

Google's new AI model, Gemma 3, aims to outperform rivals while operating on a single GPU, making AI more accessible to developers and startups. Built on Google's Gemini 2.0 architecture, it promises high performance and versatility, handling text, images, and videos efficiently. However, despite being labeled "open," its use is restricted by an Apache 2.0 license with limitations on commercial use and redistribution. This has sparked debate in the open-source community, with some seeing it as a controlled offering rather than true open-source freedom. While early adopters have found innovative uses for Gemma 3, its constraints pose challenges for larger-scale applications. The broader question remains whether tech giants like Google can fully embrace open-source principles without relinquishing control.