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EvidenceAI ModelsVisualization detail

Model release cadence by lab

Frontier-model releases per quarter, by lab, 2024 → 2026.

Evidence Brief
The Frontier AI Model Race (2026)
Data as of
June 2026
Basis
See row-level value basis below
Gaps
Nulls remain null; none are interpolated
Open table & CSV

About this data

Frontier releases from Anthropic, OpenAI, Google, and Meta accelerated sharply through 2024–2026, with multiple major launches per quarter. The stacked view shows both the rising cadence and the widening set of labs operating at the frontier at the same time.

Cadence is bursty; leadership rotates rather than compounding at one lab.

  • Data as of June 2026
  • Source Official body or company filing

Model release cadence by lab

Frontier releases from Anthropic, OpenAI, Google, and Meta accelerated sharply through 2024–2026, with multiple major launches per quarter. The stacked view shows both the rising cadence and the widening set of labs operating at the frontier at the same time.

Model release cadence by lab

Rendering the interactive chart

Source: anthropic-news, openai-research, google-deepmind, meta-ai · Retrieved 2026-09-10T04:45:22.578+00:00 · Basis: actual values

Unknown values are hatched and never treated as zero. Zero remains a verified value.

Data table

Download CSV
Model release cadence by lab — releases data table (The Frontier AI Model Race (2026))
metagoogleopenaiseriesquarteranthropicsource_refvalue_basis
001releases2024 Q21anthropic-newsClaude 3.5 Sonnet (Jun 2024); GPT-4o (May 2024) — Anthropic + OpenAI release notes
101releases2024 Q30openai-researchOpenAI o1-preview (Sep 2024); Meta Llama 3.1 405B (Jul 2024)
011releases2024 Q40google-deepmindGoogle Gemini 2.0 (Dec 2024); OpenAI o1/o3 (Dec 2024)
000releases2025 Q11anthropic-newsClaude 3.7 Sonnet (Feb 2025)
100releases2025 Q21meta-aiMeta Llama 4 (Apr 2025); Anthropic Claude 4 / Opus 4 (May 2025)
001releases2025 Q30openai-researchOpenAI GPT-5 (Aug 2025)
010releases2025 Q40google-deepmindGoogle Gemini 3.0 family (Nov–Dec 2025)
000releases2026 Q11anthropic-newsTopics_Content/07_New_Trending_Topics_2026.md §1.2 — Claude Sonnet 4.6 (Feb 17 2026)
011releases2026 Q22anthropic-newsTopics_Content/07_New_Trending_Topics_2026.md §1.2 — Claude Opus 4.8 (May 28) + Fable 5 (Jun 9); GPT-5.5 (Apr 2026); Gemini 3.1

Methodology & sources

Last updated: Sep 10, 2026

Methodology

Source-backed values are seeded for four of the five charts: the release cadence by lab (2024 → 2026, from each lab’s release notes), the capability-vs-cost scatter (Artificial Analysis Intelligence Index vs output $/M tokens, June 2026 snapshot), training-compute growth by year (Epoch AI, corroborated by Stanford HAI), and a safety-gated capabilities matrix. Every numeric point carries a sources[].ref and a value_basis. Sources are each lab’s own model cards/release notes, Artificial Analysis, Epoch AI, and Stanford HAI — cross-checked against public release timelines. EDITORIAL ENCODING: the safety-gated matrix scores each model × domain as 3 = allowed / 2 = gated / 1 = blocked. This is an interpretation of each model’s published safety policy, not a measured benchmark. PLACEHOLDER: the per-lab benchmark-trajectory chart is left unseeded — a consistent historical per-quarter, per-lab benchmark series was not sourceable without mixing incompatible benchmarks. Re-verified 2026-06-15.

Comparisons are informative, not definitive. See each source for definitions and limits.

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