There is no single open-vs-proprietary share: published figures run from 11% to 79% because they measure different universes

Asked:

“Find published statistics on the share of usage or adoption of open-weight models versus proprietary models since ChatGPT launched. For each figure, give me the number claimed, exactly what was measured (downloads, tokens, deployments, survey responses), the time period, who published it, and the source URL.”

Fifteen published figures from seven primary publishers, spanning August 2023 through May 2026 fieldwork (ChatGPT launched November 30, 2022). Each figure is a percentage — but of different things: enterprise workload share, organization-level adoption where firms use both kinds, production deployment among adopters, weekly token volume on one routing platform, and stated intent. The lanes below keep them apart; unlike metrics are never joined into one trend.

Menlo's exclusive enterprise share series is the only comparable trend here — and it falls: 19% open in 2024, 13% mid-2025, 11% late 2025, after closed models held “upwards of 85%” of production in 2023. menlovc.com
Databricks' 76% is not the complement of Menlo's numbers: it counts organizations choosing at least one open-source model, often alongside proprietary models, across 10,000+ platform customers. databricks.com
On OpenRouter's 100-trillion-token telemetry, Chinese open-weight models swung from a 1.2% weekly low in late 2024 to nearly 30% in some weeks, averaging 13.0% — volatility no annual survey can see. openrouter.ai
Mozilla/SlashData's May 2026 fieldwork shows open models more widely used (79% vs 71%) but less deployed: 51% of open-model adopters reached production versus 63% of closed-model adopters. blog.mozilla.org

Every figure, with its exact denominator

Period measuredNumber claimedMetric typeWhat was measured & denominatorCan categories overlapPublisherSample / data scopeSource
Aug 2023nearly 77%Intent / non-useRespondents who don't use or don't plan to use commercial LLMs beyond prototypes in productionn/a (single question)Predibase150 executives, data scientists, ML engineers across 29 countriesinsidehpc.com
Nov 2023upwards of 85% closedMarket / usage share (exclusive)Share of models in production that are proprietaryNo — mutually exclusiveMenlo Ventures450+ enterprise executives, US & Europemenlovc.com
Feb 2023 – Mar 202476% openAdoption incidence (non-exclusive)Companies using LLMs that chose at least one open-source model, often alongside proprietary modelsYes — orgs can use bothDatabricksAggregated, anonymized platform data, 10,000+ global customers incl. 300+ Fortune 500databricks.com
202481% closed / 19% openMarket / usage share (exclusive)Enterprise usage market share of closed vs open-source solutionsNo — mutually exclusiveMenlo Ventures600 US IT decision-makers, firms with 50+ employeesmenlovc.com
Reported 202563% all orgs / 72% tech industryAdoption incidence (non-exclusive)Respondents whose organization used an open-source AI modelYes — open use doesn't exclude closedMcKinsey, Mozilla Foundation, Patrick J. McGovern Foundation700+ technology leaders and senior developers, 41 countriesmckinsey.com
Jun 30 – Jul 10, 202513% open (from 19% six months earlier)Market / usage share (exclusive)Share of AI workloads using open-source modelsNo — workload shareMenlo Ventures150 technical decision-makers at enterprises and startups building AI appsmenlovc.com
13 months ending Nov 2025Chinese OSS 13.0% avg (1.2% weekly low, nearly 30% in some weeks)Token telemetry (exclusive shares)Average weekly share of token volume on OpenRouter, 100 trillion tokens; 'OSS' = open-weightNo — token shares sum to 100%OpenRouter with a16zOpenRouter platform routing telemetryopenrouter.ai
13 months ending Nov 2025Rest-of-world OSS 13.7% avg / rest-of-world proprietary 70% avgToken telemetry (exclusive shares)Average weekly share of token volume on OpenRouterNo — token shares sum to 100%OpenRouter with a16zOpenRouter platform routing telemetryopenrouter.ai
Late 202511% open (from 19% prior year)Market / usage share (exclusive)Overall enterprise open-source shareNo — mutually exclusiveMenlo Ventures~500 US enterprise decision-makersmenlovc.com
May 19–29, 202679% open / 71% closed (50% both, 29% open only, 21% closed only)Adoption incidence (non-exclusive)Developers adding AI functionality who currently use each model typeYes — 50% use bothMozilla / SlashData1,494 qualified developersstateofopensource.ai
May 19–29, 202651% open adopters / 63% closed adoptersProduction deployment (per adopter group)Adopters of each model type who reported reaching productionDenominators differ per groupMozilla / SlashData1,494 qualified developers (adopter subsets)blog.mozilla.org

Method: figures compiled from primary publisher pages between November 30, 2022 (ChatGPT launch) and September 4, 2026; 15 plotted points from 11 distinct figure sets across 7 publishers. Publishers use “open source”, “OSS” and “open-weight” inconsistently — OpenRouter explicitly uses OSS as shorthand for open-weight; survey definitions vary. Percentages measure whatever each row's denominator states; non-exclusive adoption figures were never converted into complements, and proprietary share was never inferred from open-only statistics. Chinese and rest-of-world OSS token shares are kept separate as published. The search is broad but not guaranteed exhaustive; Menlo's enterprise estimates are the strongest comparable series, while platform telemetry and developer surveys answer different questions. Model-count shares, benchmark shares and raw download totals were excluded. The Predibase figure is stated intent, not measured usage.

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