AlphaCode
AlphaCode is an artificial intelligence system developed by Google DeepMind that generates computer programs capable of solving competitive programming problems at a human-competitive level
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AlphaCode is an artificial intelligence system developed by Google DeepMind that generates computer programs capable of solving competitive programming problems at a human-competitive level
DiffusionGemma is an experimental open-weight large language model developed by Google DeepMind for multimodal text generation through discrete diffusion.
Gemini is a family of natively multimodal large language models developed by Google DeepMind, first announced on December 6, 2023, that can reason across text, images, audio, video, and code within a single…
Gemini 1.0 is the first generation of Gemini, the family of natively multimodal AI models that Google DeepMind announced on 6 December 2023 .
Gemini 1.5 Flash is a lightweight, low-latency multimodal large language model from Google DeepMind, released at Google I/O on May 14, 2024, as the fast and cost-efficient member of the Gemini 1.5 family.
Gemini 1.5 Pro is a multimodal large language model developed by Google DeepMind and announced on February 15, 2024, as the flagship model of the Gemini 1.5 generation.
Gemini 2.0 Flash is a fast, low-cost multimodal large language model built by Google DeepMind as the flagship workhorse of the Gemini 2.0 generation, designed for the agentic era with native tool use, a 1…
Gemini 2.0 Flash Thinking is an experimental reasoning model released by Google as part of the Gemini 2.0 family.
Gemini 2.0 Flash-Lite is a large language model developed by Google DeepMind and released as the most cost-efficient member of the Gemini 2.0 model family.
Gemini 2.5 Deep Think is Google DeepMind's enhanced reasoning mode for the Gemini 2.5 Pro model that uses a technique called "parallel thinking" to explore many candidate solution paths at once before…
Gemini 2.5 Flash is a fast, cost-optimized multimodal large language model developed by Google DeepMind and the mid-tier member of the Gemini 2.5 family.
Gemini 2.5 Pro is the flagship reasoning large language model of Google's Gemini 2.5 family, developed by Google DeepMind and first released as an experimental preview on March 25, 2025
Gemini 3 is the third major generation of the Gemini family of multimodal models from Google DeepMind, launched on November 18, 2025 with Gemini 3 Pro as the flagship and described by Google as "our most…
Gemini 3.1 Pro is a large language model developed by Google DeepMind and released on 19 February 2026 as a point-release upgrade to Gemini 3 Pro .
Gemini 3.5 Flash is a fast frontier large language model developed by Google DeepMind, announced at Google I/O 2026 on May 19, 2026 and made generally available the same day .
Gemini 3.8 Flash is a multimodal model in Google's Gemini family. Google DeepMind released it on September 2, 2026 as a generally available model for software engineering, tool-using agents, and knowledge work.
Gemini 3.8 Flash Cyber is a restricted-access model for AI in cybersecurity in Google's Gemini family. Google DeepMind announced it on September 2, 2026 alongside the generally available Gemini 3.8 Flash.
Gemini Diffusion is an experimental text generation model from Google DeepMind that produces text and code using a diffusion process rather than the autoregressive
Gemini Ultra (branded Ultra 1.0) was the largest and most capable model in the Gemini 1.0 family, the first generation of natively multimodal large language models from Google DeepMind.
Gemma is a family of open-weight models developed by Google DeepMind. The family began in February 2024 with text-only decoder models derived from research used for Google's Gemini systems, then expanded to…
Gemma 2 is a family of open-weights large language models developed by Google DeepMind and released starting June 27, 2024, in three parameter sizes: 2 billion (2B), 9 billion (9B), and 27 billion (27B).
Gemma 3 is a family of open-weight large language models developed by Google DeepMind and released on March 12, 2025.
Gemma 4 is a family of open-weight multimodal models developed by Google DeepMind and released on April 2, 2026.
Gopher is a 280-billion-parameter autoregressive transformer language model developed by DeepMind and described in a trio of companion papers released on December 8, 2021.
PaLM (Pathways Language Model) is a family of dense, decoder-only large language models developed by Google Research. Google announced the original family on April 4, 2022.
RecurrentGemma is a family of open-weight language models released by Google DeepMind that is built on the Griffin architecture rather than the standard Transformer.