AI Model Releases by Lab
Run the AI Model Releases by Lab MicroSim Fullscreen
About This MicroSim
This horizontal bar chart ranks the 11 frontier AI labs tracked by AI Release Tracker — OpenAI, Mistral, Google, Anthropic, Qwen, DeepSeek, SpaceXAI, Meta, Z.ai, Moonshot AI, and NVIDIA — by their total major model releases since November 2022.
It answers a simple but important org-impact question: of the 249 major releases tracked, who is actually shipping the most? OpenAI leads with 44, but the next several labs are close behind, and no single lab accounts for even a fifth of all tracked releases.
How to Use
Hover over any bar to see its exact count and share of all tracked releases.
Iframe Embed Code
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Updating the Data
Chart values live in a dataset shared by six MicroSims:
../ai-release-data/data.json. This chart
reads the labTotals array — update a lab's value there, or add a new lab
entry (and to meta.labs) as the tracked lab list grows. See
../ai-release-data/README.md for the full
schema.
Related MicroSims
These MicroSims share the same dataset:
- AI Model Releases by Year
- Combined Cumulative AI Model Releases
- AI Model Releases by Lab Over Time
- AI Release Frequency Per Month
- AI Model Releases by Day of Week
Lesson Plan
Grade Level
Adult professional / executive education (organizational AI-tracking course)
Duration
5-10 minutes
Prerequisites
None.
Activities
- Exploration (3 min): Have learners rank the top 3 labs by release count before looking, then compare to the chart.
- Guided Discussion (3 min): Discuss why release count is an imperfect proxy for capability leadership (it says nothing about model quality or adoption).
- Assessment (3 min): Ask learners to name one other metric that would complement this leaderboard for judging lab competitiveness.
Assessment
Learners should be able to articulate at least one limitation of using raw release counts as a leadership indicator.
References
- AI Release Tracker — Analytics — source of the underlying release-count data.
- Chart.js Documentation — charting library used to build this MicroSim.