OpenAI released Codex CLI 0.167.0 with a no-daemon agent command center, unread-result markers, connected-backend switching that preserves drafts, local-image previews, a Vertex AI setup path, optional system proxy use and expanded approval-time patch details.
Why it matters: The release makes parallel agent results and provider changes easier to inspect from the terminal while surfacing more context at approval time. It also adds new provider, image and proxy paths that change credentials, network routing and local-data exposure.
Google Cloud's Vertex AI release notes list 23 August as the shutdown date for Anthropic's Claude 3 Haiku, following deprecation on 23 February. The notice points customers to partner-model deprecation guidance but does not name a replacement in the release-note entry.
Why it matters: Workloads pinned to the retired Vertex AI partner model can fail at a hard lifecycle boundary. Migration also changes model behavior, pricing, context, latency, regions, safety, and tool contracts, so an alias swap is not sufficient evidence of parity.
Google launched Nano Banana 2, also called Gemini 3.1 Flash Image, across Gemini, Search, Flow, and Google Ads, with API and Vertex AI access in preview. The model combined faster generation with image-search grounding, improved text and translation, consistency for up to five characters and fourteen objects, and output controls from 512 pixels to 4K.
Why it matters: High-quality image generation and editing became fast enough for iterative production workflows while adding stronger text, localization, subject consistency, and provenance.
Google introduced an upgraded Gemini Deep Think mode for difficult science and engineering problems, then released Gemini 3.1 Pro in preview across developer, cloud and consumer surfaces. Deep Think targeted Google AI Ultra subscribers and select API users, while 3.1 Pro became the broadly testable foundation for complex reasoning and agent workflows.
Why it matters: Reasoning is becoming a configurable service tier. Teams can use a general model for most work and reserve expensive multi-path inference for problems where extra search and verification improve the answer.
Google launched Gemini 3 Flash across the Gemini app and developer platforms, positioning it as a lower-latency, lower-cost model with multimodal reasoning and agent capabilities.
Why it matters: A fast model built on the new generation could handle the high-volume extraction, interaction, and tool-use layer while larger models remained reserved for harder decisions.
Google launched Gemini 3 across the Gemini app, API, and Vertex AI while previewing Antigravity, an agent-first development environment coordinating editor, terminal, and browser work.
Why it matters: The frontier model and its agent workplace arrived together, showing that model capability was being productized through multi-surface execution and artifact review.
Google released the Gemini 2.5 Computer Use model in preview through the Gemini API and Vertex AI, allowing agents to interpret screenshots and issue browser-interface actions.
Why it matters: Developers gained a first-party Google model for operating websites that lacked APIs, making browser action a programmable multimodal capability.
Google made Gemini 2.5 Pro and Gemini 2.5 Flash stable, generally available endpoints in the Gemini API and Vertex AI, while introducing Flash-Lite in preview. The family combined reasoning controls, multimodality, long context, and tiered price/performance.
Why it matters: A production model family with stable names and support replaced a sequence of previews, letting teams build routing and regression policies around a supported baseline.
Google introduced Veo 3 with native audio generation, Imagen 4 with stronger image detail and typography, and Flow as an AI filmmaking workspace for prompts, ingredients, shots, and scene continuity.
Why it matters: Generative media moved from isolated clips to a workflow with assets, camera controls, continuity, and sound—closer to production previsualization.
Google released Gemini 2.5 Pro Experimental with native reasoning, a one-million-token context window, multimodal inputs, and a strong emphasis on coding and agentic tasks.
Why it matters: Reasoning was no longer a side branch: Google's next flagship family treated thinking as a default model behavior and combined it with long-context multimodality.
Google made Gemini 2.0 Flash generally available through the Gemini API and Vertex AI, while previewing 2.0 Pro Experimental, Flash-Lite, and a thinking variant. The family emphasized multimodality, long context, tool use, and multiple price/performance tiers.
Why it matters: A model portfolio let builders route extraction, interactive work, and harder reasoning to different endpoints under one platform.