{
  "data_version": "1",
  "schema": "https://whatledto.com/data",
  "id": "google-deepmind",
  "name": "Google DeepMind",
  "kind": "company",
  "url": "https://whatledto.com/who/google-deepmind",
  "description": "",
  "same_as": [],
  "timelines": [
    {
      "slug": "google-gemini-model-releases",
      "title": "Google Gemini: From 1.0 to the Flash Releases That Replaced a Pro",
      "url": "https://whatledto.com/events/google-gemini-model-releases",
      "json": "https://whatledto.com/events/google-gemini-model-releases.json",
      "role": "Google’s AI research organization behind Gemini and the Robotics ER model line.",
      "entries": 23,
      "updated_at": "2026-10-16T08:25:44.672197+00:00"
    }
  ],
  "entries": [
    {
      "timeline": "google-gemini-model-releases",
      "id": 2192,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n2192",
      "date": "2026-10-13",
      "date_precision": "day",
      "title": "Google puts Argon on robots and claims 87 percent on the embodied-reasoning benchmark",
      "summary": "On the day Argon went generally available Google also published its robotics case for it, and the claim is that no separate robotics model is needed: the same general-purpose model scores 87 percent on the Embodied Reasoning benchmark “using pure reasoning”, which Google says beats every other frontier model. The post walks through robot control, reconstructing calibrated simulations from camera feeds or hand-drawn sketches, and self-improvement, including Argon building a MuJoCo twin of a foot-pedal bin to rehearse before working a Boston Dynamics Spot on the real one. It is Google’s own benchmark figure, not an independent result.",
      "type": "other",
      "entities": [
        "Google",
        "Google DeepMind",
        "Boston Dynamics"
      ],
      "parties": [
        "google",
        "google-deepmind",
        "boston-dynamics"
      ],
      "sources": [
        {
          "url": "https://developers.googleblog.com/gemini-4-argon-for-robotics",
          "outlet": "Google",
          "published": "2026-10-13",
          "quote": "You can see this leap in capability on the Embodied Reasoning (ERQA) benchmark, which tests a model's ability to understand and solve physical, spatial problems in 3D environments. Using pure reasoning, Argon scores 87%, outperforming every other frontier model."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 2191,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n2191",
      "date": "2026-10-13",
      "date_precision": "day",
      "title": "Gemini 4 Argon opens to everyone, and the Fairwind version is the one without guardrails",
      "summary": "Google made Gemini 4 Argon generally available on 13 October, giving \"developers, enterprises, scientists, and consumers\" access to the endpoint gemini-4-argon, thirteen days after announcing it as a rollout to a set of trusted cyber defenders. The same post expands that original programme too — \"hundreds of additional Fairwind Program partners\" — and makes plain that the two are not the same model: cybersecurity defenders can apply to Fairwind for Argon \"without cyber guardrails\", while the public endpoint keeps them.",
      "type": "other",
      "entities": [
        "Google",
        "Google DeepMind"
      ],
      "parties": [
        "google",
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/",
          "outlet": "Google",
          "published": "2026-10-13",
          "quote": "We’re giving developers, enterprises, scientists, and consumers access to our latest frontier model."
        },
        {
          "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/",
          "outlet": "Google",
          "published": "2026-10-13",
          "quote": "We’re giving developers, enterprises, scientists, and consumers access to our latest frontier model."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1516,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1516",
      "date": "2026-09-02",
      "date_precision": "day",
      "title": "Google introduces Gemini 3.8 Flash Cyber for trusted defenders",
      "summary": "Google introduced Gemini 3.8 Flash Cyber as a cybersecurity model for vulnerability detection and automated patching. The model was made available to trusted defenders through the Fairwind Program.",
      "type": "launch",
      "entities": [
        "Google",
        "Google DeepMind",
        "Gemini 3.8 Flash Cyber",
        "Fairwind Program"
      ],
      "parties": [
        "google",
        "google-deepmind",
        "gemini-38-flash-cyber",
        "fairwind-program"
      ],
      "sources": [
        {
          "url": "https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/",
          "outlet": "Google",
          "published": "2026-09-02",
          "quote": "Gemini 3.8 Flash Cyber: our most capable cybersecurity model with frontier-level performance in vulnerability detection and automated patching, available to trusted defenders through our new Fairwind Program."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1095,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1095",
      "date": "2026-09-02",
      "date_precision": "day",
      "title": "Gemini 3.8 Flash is the fourth Flash release in four months",
      "summary": "Google positioned it for long-horizon software engineering, autonomous agents and complex enterprise workflows — the fourth numbered Flash model since May, still with no Pro release in the 3.5 line.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Gemini 3.8 Flash generally available (GA): Released gemini-3.8-flash, our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows. To get started, see the Gemini 3.8 Flash model page and the Latest model guide."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1094,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1094",
      "date": "2026-08-26",
      "date_precision": "day",
      "title": "Gemini 3.5 Transcribe splits speech-to-text into its own models",
      "summary": "Two dedicated transcription models, one batch and one streaming, were built on Gemini's audio understanding rather than sold as a general model feature.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Gemini 3.5 Transcribe generally available (GA): Released two dedicated speech-to-text models based on Gemini's audio understanding: Gemini 3.5 Transcribe (gemini-3.5-transcribe): High-accuracy, low-latency non-streaming speech-to-text with utterance-based language detection across 85+ languages, speaker diarization, word-level timestamps, and custom vocabulary biasing (up to 1,000 terms)."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1093,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1093",
      "date": "2026-08-13",
      "date_precision": "day",
      "title": "Gemini 3.7 Flash arrives with an introductory price",
      "summary": "Google called it its most intelligent workhorse model yet for coding and agents, and put it on an introductory price good to the end of the year.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Gemini 3.7 Flash generally available (GA): Released our most intelligent workhorse model yet for coding and agents: Gemini 3.7 Flash (gemini-3.7-flash): Substantial improvements across software engineering, web development, and agentic workflows, available at an introductory price through"
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1096,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1096",
      "date": "2026-07-21",
      "date_precision": "day",
      "title": "Bloomberg reports Gemini 3.5 Pro is stuck on internal performance goals",
      "summary": "TechCrunch noted what the July release did not contain, and pointed at a Bloomberg report the previous week that Google was facing internal delays on 3.5 Pro after it fell short of its own targets. Pro is Google's high-capability tier; the gap left the generation's frontier slot filled by Flash models.",
      "type": "report",
      "entities": [
        "Google DeepMind",
        "Bloomberg"
      ],
      "parties": [
        "google-deepmind",
        "bloomberg"
      ],
      "sources": [
        {
          "url": "https://techcrunch.com/2026/07/21/google-releases-three-new-gemini-models-but-no-3-5-pro/",
          "outlet": "TechCrunch",
          "published": "2026-07-21",
          "quote": "Last week, Bloomberg reported that Google was facing internal delays in launching the 3.5 Pro as it struggled to meet internal performance goals."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1092,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1092",
      "date": "2026-07-21",
      "date_precision": "day",
      "title": "Gemini 3.6 Flash and 3.5 Flash-Lite go GA — and 3.5 Pro does not appear",
      "summary": "Google shipped stable versions of two more Flash models, 3.6 Flash cheaper than the 3.5 Flash it followed. The Pro model the 3.5 family had been announced around was absent.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Gemini 3.6 Flash and Gemini 3.5 Flash-Lite generally available (GA): Released stable, production-ready versions of our latest 3.x Flash models: Gemini 3.6 Flash (gemini-3.6-flash): Features improved token efficiency and code/agentic planning capabilities at a lower price point than 3.5 Flash, resolving developer feedback around output verbosity."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1091,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1091",
      "date": "2026-06-01",
      "date_precision": "day",
      "title": "The Gemini 2.0 models are shut down",
      "summary": "The generation that introduced the agentic framing was switched off, with developers pointed at 3.5 Flash or 3.1 Flash-Lite.",
      "type": "other",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "The following Gemini 2.0 models are now shut down: gemini-2.0-flash gemini-2.0-flash-001 gemini-2.0-flash-lite gemini-2.0-flash-lite-001 Use gemini-3.5-flash or gemini-3.1-flash-lite instead."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1090,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1090",
      "date": "2026-05-28",
      "date_precision": "day",
      "title": "The Nano Banana image models go generally available",
      "summary": "Gemini 3.1 Flash Image and Gemini 3 Pro Image left preview together, keeping the Nano Banana names that users had given them.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Released gemini-3.1-flash-image (Nano Banana 2) and gemini-3-pro-image (Nano Banana Pro), the generally available (GA) versions of our native visual models, Gemini 3.1 Flash Image and Gemini 3 Pro Image."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1089,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1089",
      "date": "2026-05-19",
      "date_precision": "day",
      "title": "Gemini 3.5 Flash reaches general availability",
      "summary": "Google called it its most intelligent model for sustained frontier performance on agentic and coding tasks — a claim being made for a Flash model, with no 3.5 Pro alongside it.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Released gemini-3.5-flash, the generally available (GA) version of Gemini 3.5 Flash, our most intelligent model for sustained frontier performance on agentic and coding tasks. This is now the model behind gemini-flash-latest. Launched the Managed Agents in the Gemini API in public preview."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1088,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1088",
      "date": "2026-03-09",
      "date_precision": "day",
      "title": "Gemini 3 Pro Preview is shut down",
      "summary": "Under the model lifecycle policy Google had launched in January, the preview endpoint that opened the generation was retired less than four months after it appeared.",
      "type": "other",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "The Gemini 3 Pro Preview model has been shut down. The gemini-3-pro-preview now points to gemini-3.1-pro-preview."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1087,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1087",
      "date": "2026-02-26",
      "date_precision": "day",
      "title": "Nano Banana 2 ships as Gemini 3.1 Flash Image Preview",
      "summary": "The image line got its high-efficiency variant, aimed at speed and high-volume use rather than maximum quality.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Launched Nano Banana 2, Gemini 3.1 Flash Image Preview, a high-efficiency model optimized for speed and high-volume use cases."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1086,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1086",
      "date": "2026-02-19",
      "date_precision": "day",
      "title": "Gemini 3.1 Pro Preview is the first point release of the generation",
      "summary": "Three months after Gemini 3 Pro, Google shipped the first iteration of the Pro tier.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Released Gemini 3.1 Pro Preview, our latest iteration in the new Gemini 3 series family."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1085,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1085",
      "date": "2026-01-21",
      "date_precision": "day",
      "title": "The latest aliases switch over to Gemini 3",
      "summary": "Developers who pinned gemini-pro-latest or gemini-flash-latest were moved onto the third generation without changing a line of code.",
      "type": "other",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Changed the latest aliases: gemini-pro-latest switched to gemini-3-pro-preview gemini-flash-latest switched to gemini-3-flash-preview"
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1084,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1084",
      "date": "2025-12-17",
      "date_precision": "day",
      "title": "Gemini 3 Flash Preview brings the generation to the cheap tier",
      "summary": "Google said the Flash model delivered frontier-class performance rivalling larger models at a fraction of the cost, a month after the Pro launch.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Launched Gemini 3 Flash Preview, gemini-3-flash-preview, delivering fast frontier-class performance that rivals larger models at a fraction of the cost. With upgraded visual and spatial reasoning, and agentic coding capabilities. Read the documentation on some new features, including: Multimodal function responses Code execution with images"
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1083,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1083",
      "date": "2025-12-11",
      "date_precision": "day",
      "title": "The Interactions API gives models and agents one interface",
      "summary": "Google introduced a unified API surface for Gemini models and agents, the plumbing that the agentic releases through 2026 would be built on.",
      "type": "other",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Launched the Interactions API. This API provides a unified interface for interacting with Gemini models and agents. To learn more, see the Interactions API guide. Launched the Gemini Deep Research agent in preview. It can autonomously plan, execute, and synthesize results for multi-step research tasks. See the Deep Research guide for details."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1082,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1082",
      "date": "2025-11-20",
      "date_precision": "day",
      "title": "Gemini 3 Pro Image Preview succeeds Nano Banana",
      "summary": "Two days after the Pro model, the image model that the internet had renamed Nano Banana got its Gemini 3 iteration.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Released Gemini 3 Pro Image Preview, gemini-3-pro-image-preview, the next iteration to the Nano Banana model. Read the Image generation page for more details."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1081,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1081",
      "date": "2025-11-18",
      "date_precision": "day",
      "title": "Gemini 3 Pro Preview launches as the first model of the third generation",
      "summary": "The generation opened with the Pro tier in preview, pitched on reasoning, multimodal understanding, agentic work and coding.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://ai.google.dev/gemini-api/docs/changelog",
          "outlet": "Google AI for Developers (Gemini API release notes)",
          "published": "2026-09-03",
          "quote": "Launched the first Gemini 3 series model, gemini-3-pro-preview, our state-of-the-art reasoning and multimodal understanding model with powerful agentic and coding capabilities. In addition to improvements in intelligence and performance, Gemini 3 Pro Preview introduces new behavior around: Media resolution Thought signatures Thinking levels Read the Gemini 3 Developer Guide for migration, new features, and specs."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1080,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1080",
      "date": "2025-03-25",
      "date_precision": "day",
      "title": "Gemini 2.5 Pro arrives as a thinking model",
      "summary": "Google described 2.5 as thinking models that reason through a problem before answering, and led with 2.5 Pro Experimental. The framing matched the reasoning turn the rest of the industry had taken.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/",
          "outlet": "Google (The Keyword)",
          "published": "2025-03-25",
          "quote": "Gemini 2.5 models are thinking models, capable of reasoning through their thoughts before responding, resulting in enhanced performance and improved accuracy."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1079,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1079",
      "date": "2024-12-11",
      "date_precision": "day",
      "title": "Gemini 2.0 Flash opens the agentic era of the line",
      "summary": "Google put its workhorse tier first for a new generation, pairing 2.0 Flash with agent prototypes and native tool use. From here the Flash models, not Pro, set the release cadence.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/",
          "outlet": "Google (The Keyword)",
          "published": "2024-12-11",
          "quote": "Today we're excited to launch our next era of models built for this new agentic era: introducing Gemini 2.0, our most capable model yet. With new advances in multimodality - like native image and audio output - and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant."
        }
      ]
    },
    {
      "timeline": "google-gemini-model-releases",
      "id": 1078,
      "url": "https://whatledto.com/events/google-gemini-model-releases#n1078",
      "date": "2024-02-15",
      "date_precision": "day",
      "title": "Gemini 1.5 Pro pushes the context window to a million tokens",
      "summary": "The first 1.5-series model went to early testers with a mixture-of-experts architecture and, Google said, the longest context window of any large-scale foundation model at the time. Long context became the line's defining claim.",
      "type": "launch",
      "entities": [
        "Google DeepMind"
      ],
      "parties": [
        "google-deepmind"
      ],
      "sources": [
        {
          "url": "https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/",
          "outlet": "Google (The Keyword)",
          "published": "2024-02-15",
          "quote": "We've been able to significantly increase the amount of information our models can process - running up to 1 million tokens consistently, achieving the longest context window of any large-scale foundation model yet."
        }
      ]
    },
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      "url": "https://whatledto.com/events/google-gemini-model-releases#n1077",
      "date": "2023-12-06",
      "date_precision": "day",
      "title": "Google introduces Gemini 1.0 in Ultra, Pro and Nano sizes",
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          "quote": "Our first version, Gemini 1.0, is optimized for different sizes: Ultra, Pro and Nano."
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}