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AI Model Releases by Lab Over Time

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About This MicroSim

This stacked area chart breaks quarterly AI model release counts down by lab — OpenAI, Mistral, Google, Anthropic, Qwen, DeepSeek, SpaceXAI, Meta, Z.ai, Moonshot AI, and NVIDIA — from Q4 2022 through Q2 2026. It replicates the "Releases by Lab Over Time" chart from AI Release Tracker.

Two things stand out: the total height of the stack is rising (more releases each quarter), and the number of differently-colored bands doing meaningful work is growing too (more labs shipping every quarter). That second trend — the field getting more crowded, not just busier — is the main strategic signal this chart is built to surface. A dashed trend line shows the 3-quarter moving average of the total.

How to Use

Hover over any quarter to see a full per-lab breakdown for that quarter, plus the quarter's total in the tooltip footer. Click a legend entry to hide or show that lab's band.

Iframe Embed Code

You can add this MicroSim to any web page by adding this to your HTML:

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<iframe src="https://dmccreary.github.io/tracking-ai-course/sims/ai-releases-by-lab-over-time/main.html"
        height="562px"
        width="100%"
        scrolling="no"></iframe>

Updating the Data

Chart values live in a dataset shared by six MicroSims: ../ai-release-data/data.json. This chart reads the quarters array, where each entry has a byLab object keyed by lab name. Add a new quarter by appending an entry with a byLab value (use 0 for labs that shipped nothing) for every lab listed in meta.labs. See ../ai-release-data/README.md for the full schema.

These MicroSims share the same dataset:

Lesson Plan

Grade Level

Adult professional / executive education (organizational AI-tracking course)

Duration

10-15 minutes

Prerequisites

Familiarity with the overall release counts from AI Model Releases by Year is helpful but not required.

Activities

  1. Exploration (5 min): Have learners hover across several quarters and note which labs appear, disappear, or grow within the stack.
  2. Guided Discussion (5 min): Ask learners to identify the quarter where a new lab first appears in meaningful volume, and discuss what that signals about barriers to entry in frontier AI.
  3. Assessment (5 min): Ask learners to argue, using the chart, whether the AI frontier is consolidating around one or two labs or becoming more competitive over time.

Assessment

Learners should be able to distinguish "the market is growing" from "the market is getting more competitive" and point to specific chart evidence for each.

References

  1. AI Release Tracker — Analytics — source of the underlying release-count data.
  2. Chart.js Documentation — charting library used to build this MicroSim.