Vikshy is not being updated. Updates were paused on 20 October 2026, so the news, the Score, prices and rankings here are out of date and will stay as they are. Check the labs' own sites for anything newer.
On the watchlist, scored but not ranked

Microsoft

Down 0.3 since 18 Oct, rising over 30 days (Direction ▲ 2.4). Latest driver: Microsoft launches new Copilot version with coding and editing features.

Strongest onTrust, safety and privacy2nd
Lags onCapabilitybelow all 13Value13thEcosystem12th
Score47.4▼ 0.3 since 18 Oct
Strength47.0Eight pillars
Direction▲ 2.4Last 30 days
Confidence medium79% of its indicators measured and fresh

Score over time

Reconstructed40455024 Aug21 Sep19 Oct
ScoreStrength
Reconstructed40455024 Aug21 Sep19 Oct
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.

Capability20below all 1343+8.5
Usage and adoption168th26+4.2
Release execution610th55+3.3
Value1513th15+2.2
Ecosystem1112th40+4.4
Reception48th52+2.1
Reliability1110th98+10.8
Trust, safety and privacy172nd68+11.6

Since 18 Oct

Score down 0.3 (47.7 to 47.4). Usage and adoption −0.2.

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.

IndicatorReadingScaledGoalpostsAs of
Arena text rating
Arena (arena.ai) text leaderboard: rating of the lab's best model with 1,000 votes or more
1256.3
phi-4
21250 to 1550 rating13 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
GPQA diamond 56.1% (phi-4); OTIS Mock AIME 2024-2025 13.8% (phi-4): filled with the median83already 0 to 100
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
0
Menlo Ventures, State of Generative AI in the Enterprise (2025-12): not named, below its threshold; a16z enterprise CIO survey (2026-01): not named, below its threshold
0already 0 to 10019 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
150000000
Copilot family: our first party family of Copilots now has surpassed 150 million monthly active users (Satya Nadella, FY26 Q1 call, 2025-10-29)
661 million to 2 billion monthly users19 Oct
Web traffic
Cloudflare Radar: the lab's best rank among the top 20 generative-AI services by traffic, 21 minus the rank
14
GitHub Copilot #7 among generative-AI services
700 to 20 rank points19 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)
0.0322
0.0% of $104.4M spent on OpenRouter in 30 days (13 models)
30% to 35% of spend11 Oct
App charts
App Store top free charts in 7 countries
11.9
JP #61, GB #58
120 to 100 chart points19 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
No official coding agent with public download counts10 thousand to 100 million a month
Coding extension installs
VS Code Marketplace: installs of the lab's official coding extensions; not applicable to a lab with none
No official coding extension on the VS Code Marketplace100 thousand to 50 million installs
SDK downloads
PyPI and npm downloads of the official SDKs, last 30 days
Not applicable100 thousand to 1 billion a month
Open-model downloads
Hugging Face downloads of the lab's models, last 30 days
36108089
microsoft
7110 thousand to 1 billion a month19 Oct
Shipping cadence
Vikshy Wire: confirmed launches and updates of materiality 2 or more, last 90 days
6
6 confirmed launches and updates in 90 days
450 to 30 in 90 days19 Oct
Biggest launch
Vikshy Wire: the biggest launch in the last 90 days, fading with age
3.4769materiality 0 to 519 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
1308.4
phi-4: 1256 at $0.09/M blended
151250 to 1650 points13 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
Microsoft Foundry: MAI-Thinking-1
330 to 3 platforms19 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)
2
Novita, DeepInfra
171 to 60 providers19 Oct
Developer interest
Hugging Face likes on the lab's models
58275
microsoft
711 thousand to 316 thousand likes19 Oct
Hacker News
Hacker News points on stories about the lab, last 30 days
461
6 stories; top: Microsoft abandons personal AI chatbot race with Copilot reboot (157)
600 to 30,000 points19 Oct
Press and analysts
Vikshy Wire: press and analyst pieces on the lab's developments, last 30 days
10410 to 60 pieces19 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
No fresh reading: filled with the median9899% to 100% over 30 days
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
Not applicable90% to 100%
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
33
1 of 3 assessments: SaferAI Risk Management Tracker (2026-07) 33
330 to 10019 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
1000 to 3 commitments19 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
1000 to 3 certifications19 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
2026-02-18: A Microsoft 365 Copilot Chat bug summarised confidential-labelled emails despite data loss prevention policies
670 to 3 in 12 months, fewer is better19 Oct

What moved Direction

The developments that count most in the last 30 days. Direction ▲ 2.4.

  1. +1.5Microsoft launches new Copilot version with coding and editing features25 Sep · Flagship model launch
  2. +0.4Microsoft introduces Maia 300 custom AI chip12 Oct · New product or feature
  3. +0.3Microsoft opens preorders for Nvidia-powered Surface RTX Spark Dev Box7 Oct · New product or feature
  4. +0.2Microsoft adds streaming transcription and text-to-speech models to MAI family2 Oct · New model
All 4 developments, line by line

Points for materiality, times recency, times diminishing returns (or the setback cap).

DevelopmentMaterialityPointsRecencyDiminish or capCounts
Microsoft launches new Copilot version with coding and editing features
25 Sep · Flagship model launch
42.50.61+1.5
Microsoft adds streaming transcription and text-to-speech models to MAI family
2 Oct · New model
20.750.710.36+0.19
Microsoft opens preorders for Nvidia-powered Surface RTX Spark Dev Box
7 Oct · New product or feature
20.750.810.45+0.28
Microsoft introduces Maia 300 custom AI chip
12 Oct · New product or feature
20.750.890.63+0.42

Latest from Microsoft

What Microsoft shipped, broke and changed lately. The full Microsoft timeline, with every model it has released.

  1. 12 Oct
    Microsoft introduces Maia 300 custom AI chipFeatures · New product or feature
  2. 7 Oct
  3. 2 Oct
  4. 25 Sep
  5. 14 Sep
    Microsoft publishes code of conduct for its MAI modelsMoney and policy · Policy or regulatory step
  6. 27 Jul

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All Microsoft stories on the Wire