#3 of 13
Google DeepMind
Level since 18 Oct, rising over 30 days (Direction ▲ 4.5). Latest driver: Google announces Gemini 4 Argon frontier model.
Follow to mark Google's stories across the site and see only your labs on the Wire. No account needed.
+0.1 Since the 19 Oct close: Google releases LiteRT Tensor API for edge model authoring would move Direction to ▲ 4.5 and the Score to about 75.7 at the next close.
Leads onCapability1stTrust, safety and privacy1stReliability2ndRelease execution2nd
Lags onEcosystem11th
Score75.7■ 0.0 since 18 Oct
Strength74.8Eight pillars
Direction▲ 4.5Last 30 days
Confidence
Score over time
ScoreStrength
ScoreStrength
57 daily closes, the earlier ones reconstructed. Download CSV
The eight pillars
Each pillar 0 to 100 on fixed goalposts, with its rank among the 13 ranked labs. The tick marks the median lab; points are what the pillar adds to Strength.
Why Google is #3
Most of its Strength comes from Capability and Trust, safety and privacy. Points are contributions to the Score.
- Behind OpenAI by 3.2 points. Biggest differences: Usage and adoption −4.1, Trust, safety and privacy +1.4, Capability +1.1.
- Ahead of Meta by 13.7 points. Biggest differences: Trust, safety and privacy +7.5, Usage and adoption +3.9, Capability +1.1; Direction −0.2.
With every pillar weight moved up to 50% either way, it ranks #3 in 90% of recalculations; with equal weights, #3.
Since 18 Oct
Score down 0.0 (75.7 to 75.7). No pillar moved by 0.1 or more.
What was measuredAll 25 readings behind this close, with source, date and goalposts
Filled: no fresh reading, so the ranked labs' median was used. Carried: a source that keeps no history, read later.
| Indicator | Reading | Scaled | Goalposts | As of |
|---|---|---|---|---|
| Arena text rating Arena (arena.ai) text leaderboard: rating of the lab's best model with 1,000 votes or more | 1525.4 gemini-4-argon-high | 92 | 1250 to 1550 rating | 13 Oct |
| Benchmarks Epoch AI Benchmarking Hub: the lab's best score on each of GPQA Diamond, FrontierMath tiers 1 to 3, SWE-bench Verified and OTIS Mock AIME, each placed between fixed goalposts, averaged; runs from the last 365 days, at least 3 of the 4 | 87.3 GPQA diamond 96.4% (Gemini 4 Argon (high)); FrontierMath-Tiers-1-3-v2-Private 86.0% (Gemini 4 Argon (high)); SWE-Bench verified 79.3% (Gemini 3.5 Flash); OTIS Mock AIME 2024-2025 100.0% (Gemini 4 Argon (high)) | 87 | already 0 to 100 | 19 Oct |
| Paid adoption Published spend and paid-use evidence, latest edition of each: Ramp AI Index (share of US businesses paying the vendor, monthly), Menlo Ventures (enterprise API spend share), a16z CIO survey (share of LLM wallet), ICONIQ (share of AI builders using the provider), each placed on its own scale and averaged by weight; facts and sources at /data/adoption.json | 30.1 Ramp AI Index (2026-08): 6.15%; Menlo Ventures, State of Generative AI in the Enterprise (2025-12): 21%; a16z enterprise CIO survey (2026-01): 16%; ICONIQ, State of AI 2026: The Builder's Economy (2026-07): 50% | 30 | already 0 to 100 | 19 Oct |
| Assistant users Users of the lab's assistants (chat apps and coding agents) as the lab or its parent last disclosed them, or a panel measurement (QuestMobile) where a lab discloses none; weekly figures count as monthly (a lower bound); dated by disclosure, and only disclosures from the last 12 months count; not applicable to a lab with no figure; facts and sources at /data/assistants.json | 1000000000 Gemini app: officially surpassed 1 billion monthly users (Google, 2026-08-11) | 91 | 1 million to 2 billion monthly users | 19 Oct |
| Web traffic Cloudflare Radar: the lab's best rank among the top 20 generative-AI services by traffic, 21 minus the rank | 11 Google Gemini #10 among generative-AI services | 55 | 0 to 20 rank points | 19 Oct |
| API spend share OpenRouter rankings: the lab's share of all dollars spent on OpenRouter in the last 30 days, across every model (not token volume, which cheap bulk models dominate) | 12.1573 12.2% of $104.4M spent on OpenRouter in 30 days (55 models) | 59 | 0% to 35% of spend | 11 Oct |
| App charts App Store top free charts in 7 countries | 78.4 IN #9, BR #12, JP #4, DE #4, GB #17, US #11 | 78 | 0 to 100 chart points | 19 Oct |
| Coding agent downloads npm and PyPI downloads of the lab's official coding agents (such as Claude Code, Codex, Gemini CLI, Qwen Code, Mistral Vibe), last 30 days; not applicable to a lab with none; standalone IDEs without public counts (such as Antigravity) are not seen | 1647448 npm:@google/gemini-cli 1647448 | 55 | 10 thousand to 100 million a month | 19 Oct |
| Coding extension installs VS Code Marketplace: installs of the lab's official coding extensions; not applicable to a lab with none | 5509636 Google.geminicodeassist 5509636 | 65 | 100 thousand to 50 million installs | 19 Oct |
| SDK downloads PyPI and npm downloads of the official SDKs, last 30 days | 240076692 pypi:google-genai 137607856; npm:@google/genai 102468836 | 85 | 100 thousand to 1 billion a month | 19 Oct |
| Open-model downloads Hugging Face downloads of the lab's models, last 30 days | 122910729 | 82 | 10 thousand to 1 billion a month | 19 Oct |
| Shipping cadence Vikshy Wire: confirmed launches and updates of materiality 2 or more, last 90 days | 48 48 confirmed launches and updates in 90 days | 100 | 0 to 30 in 90 days | 19 Oct |
| Biggest launch Vikshy Wire: the biggest launch in the last 90 days, fading with age | 4.31 | 86 | materiality 0 to 5 | 19 Oct |
| Rating per dollar Arena rating of the lab's best-value model, less 30 points for each doubling of its blended list price (3 parts input to 1 part output), with prices below $0.30 per million counted as $0.30 | 1492.1 gemini-3.5-flash-lite: 1455 at $0.42/M blended | 61 | 1250 to 1650 points | 13 Oct |
| Cloud availability Amazon Bedrock, Google Cloud and Microsoft Foundry: whether each offers the lab's current models as a managed, pay-per-use API (the flagship or the model one step behind it counts 1, an older generation only 0.5, open-weight side lines 0), dated by availability; facts and sources at /data/distribution.json | 1 Google Cloud: Gemini (first party) | 33 | 0 to 3 platforms | 19 Oct |
| Open-weight hosts OpenRouter: distinct providers serving the lab's open-weight models; not applicable to a lab that publishes none (a closed model's reach is its cloud availability) | 19 Darkbloom, DekaLLM, NextBit, DeepInfra, Io Net, Makora, CoreWeave, Cloudflare, Venice, Parasail, Novita, SiliconFlow | 72 | 1 to 60 providers | 19 Oct |
| Developer interest Hugging Face likes on the lab's models | 79984 | 76 | 1 thousand to 316 thousand likes | 19 Oct |
| Hacker News Hacker News points on stories about the lab, last 30 days | 4351 10 stories; top: Gemini 4 Argon (1705) | 81 | 0 to 30,000 points | 19 Oct |
| Press and analysts Vikshy Wire: press and analyst pieces on the lab's developments, last 30 days | 58 | 98 | 0 to 60 pieces | 19 Oct |
| Official API uptime The lab's own status page: 30-day uptime of the components that make up its model API, counting major outages in full and partial outages at 30%, the pages' own formula (degraded performance is not counted); labs label outages differently, so a measured cross-check sits beside it | 100 status.cloud.google.com, Vertex Gemini API (Gemini on Google Cloud): 100.000% over 30 days (0.0 h major, 0.0 h partial outage) | 100 | 99% to 100% over 30 days | 19 Oct |
| Measured uptime OpenRouter: the median uptime of the lab's own API endpoints, an independent cross-check of the status page, the mean of daily readings over 30 days | 99.9303 mean of 30 daily readings, 2026-09-20 to 2026-10-19 | 99 | 90% to 100% | 19 Oct |
| Independent assessments Independent assessments published by then, each put on 0 to 100: the Future of Life Institute AI Safety Index (40%), the Stanford Foundation Model Transparency Index (30%) and the SaferAI risk-management ratings (30%), averaged over those that cover the lab; a lab none covers is not independently assessed, and filled with the median like any gap | 37 3 of 3 assessments: FLI AI Safety Index (2026-07) 2.01; Foundation Model Transparency Index (2025-12) 41; SaferAI Risk Management Tracker (2026-07) 20 | 37 | 0 to 100 | 19 Oct |
| Customer data commitments From the lab's own documentation: API and business data not used for training by default; a zero-data-retention option; a choice of data region | 3 no training on API data by default, zero data retention available, choice of data region | 100 | 0 to 3 commitments | 19 Oct |
| Security certifications From the lab's trust center: SOC 2 Type II, ISO/IEC 27001, ISO/IEC 42001 (AI management) covering its model API | 3 SOC 2 Type II, ISO/IEC 27001, ISO/IEC 42001 | 100 | 0 to 3 certifications | 19 Oct |
| Security and privacy incidents Security breaches, data leaks and regulatory privacy actions (bans, fines, orders) affecting the lab's AI services or caused by its AI systems in the last 12 months, from reputable reporting and regulators, counted once per public disclosure, and half when the lab itself disclosed harm from its AI with no legal duty to; every fact, and what was not counted and why, is at /data/trust.json | 1 2026-09-21: Gemini reached three real companies' systems during a May 2026 evaluation; reported about four months later and confirmed by Google | 67 | 0 to 3 in 12 months, fewer is better | 19 Oct |
What moved Direction
The developments that count most in the last 30 days. Direction ▲ 4.5.
- +2.4Google announces Gemini 4 Argon frontier model24 Sep · Frontier-class model launch
- −0.8Gemini escaped test environment and hacked three real companies19 Sep · Security incident
- +0.7Google releases EmbeddingGemma 2 open multimodal embedding model6 Oct · Open-weight model
- −0.6Google to limit free Gemini access to Flash-Lite from October 20264 Oct · Usage limits cut
- +0.5Google releases DiarizationLM Gemma 4 E4B model on Hugging Face4 Oct · Open-weight model
- +0.3Google Research outlines building blocks for autonomous wet lab AI agents16 Oct · Research
All 38 developments, line by line
Points for materiality, times recency, times diminishing returns (or the setback cap).
Latest from Google
What Google shipped, broke and changed lately. The full Google timeline, with every model it has released.
- 19 OctGoogle releases LiteRT Tensor API for edge model authoringFeatures · New product or feature
- 16 OctGoogle Research outlines building blocks for autonomous wet lab AI agentsResearch · Research
- 15 OctGoogle positions Gemini 4 Argon as single model for roboticsFeatures · New product or feature
- 15 OctGoogle uses Antigravity for Science to search for antimicrobial peptidesResearch · Research
- 15 OctGoogle rolls out Universal Cart AI shopping tool in USFeatures · New product or feature
- 14 OctGoogle adds MCP support to Apigee hybridFeatures · New product or feature
