2 categories · RankedLaunchDarkly
LaunchDarkly is a feature management and runtime control platform for releasing software safely, using feature flags, staged rollouts and experimentation within the release workflow · launchdarkly.com ↗
Leads at enterprise. Ranked 8 of 40 for small business buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
ConfigCat is first at 41%.
Ranked first, contested: Flagsmith has 22%. 4 of 14 models made it the first choice when asked directly.
Ranked first. Next is Unleash at 16%.
Why models recommend it
“One of the most established leaders in the feature management space, ideal for large engineering organisations and enterprise teams”Claude Haiku 4.5 · Comparative question · first choice
“Best Overall (Gold Standard) | LaunchDarkly | Industry standard, unmatched governance/RBAC, deep integrations.”Gemini 3.5 Flash · Paraphrase question · first choice
“Choose LaunchDarkly when governance, compliance, approvals, SDK breadth, and safe enterprise releases matter most.”Perplexity Sonar · Comparative question · first choice
“LaunchDarkly (Market Leader) - Best for: Large enterprises needing mature feature management at scale”Kimi K2 · Comparative question · first choice
What gives them pause
“Avoid paid-heavy tools like LaunchDarkly, Split.io, or DevCycle”Grok 4.20 · Budget-constrained question · warning
“avoid it if you have a strict budget long-term”Gemini 3.5 Flash · Budget-constrained question · warning
“LaunchDarkly is mature, but usage-based pricing can become complex; model evaluations, seats, environments, and experimentation costs before committing.”Perplexity Sonar · Negative question · warning
“Cons: Expensive. Pricing scales on Monthly Active Users (MAU) and service connections, which can lead to high renewal costs for mid-market budgets.”Gemini 3.5 Flash · Direct question · warning
Also on the shortlist
The products named in the same answers as LaunchDarkly, over the 205 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 172 | 11 | Compare → | |
| 151 | 24 | Compare → | |
| 119 | 41 | Compare → | |
| 118 | 7 | Compare → | |
| 111 | 11 | Compare → | |
| 88 | 13 | Compare → | |
| 79 | 0 | Compare → | |
| 31 | 0 | View → | |
| 31 | 0 | View → | |
| 24 | 0 | View → |
What the models named instead of LaunchDarkly →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on LaunchDarkly's own site, not checked by Gane.
- For
- AI engineers, developers, DevOps & SRE, product managers, data scientists
- Price stated
- Pricing
- Starting price
- 0
- Free plan or trial
- Free trial
- Certifications
- HIPAA, SOC 2 Type II, ISO 27001, FedRAMP, EU-US DPF
- Hosting
- EU Region Available
- Customers named
- Savage X Fenty, Poka, Dior, Paramount, Hireology, Ally, AlayaCare, Relay Network
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 179 of the 205 answers that named LaunchDarkly and are not a share of its labels.
Domains cited
578 of the 632 domain citations in answers naming LaunchDarkly came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 1 | 2 | 4 |
| GPT-5.4 mini | 2 | 2 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 2 | 0 | 1 | 3 | 6 |
| Perplexity Sonar | 3 | 0 | 0 | 2 | 5 |
| Grok 4.20 | 3 | 0 | 1 | 2 | 6 |
| Mistral Small | 1 | 0 | 2 | 1 | 4 |
| DeepSeek V4 Flash | 2 | 1 | 0 | 2 | 5 |
| Llama 4 Maverick | 1 | 0 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 1 | 0 | 1 | 3 | 5 |
| Kimi K2 | 1 | 1 | 1 | 2 | 5 |
| GLM 4.7 FlashX | 2 | 1 | 0 | 3 | 6 |
| MiniMax M2.5 | 3 | 0 | 0 | 3 | 6 |
| GPT-6 Luna | 0 | 3 | 0 | 1 | 4 |
| Muse Glimmer 30B | 1 | 2 | 1 | 2 | 6 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 938 | 26 | 2026-09-23 | ||
| Report or ebook | 223 | 0 | 2018-09-11 | ||
| Webinar or virtual event | 74 | 0 | 2023-07-27 | ||
| Conference or event | 66 | 0 | 2025-06-04 | ||
| Case study | 49 | 0 | 2016-05-19 | ||
| Comparison | 27 | 0 | 2026-05-30 | ||
| Glossary or explainer | 18 | 0 | 2024-08-07 | ||
| Podcast or video | 17 | 1 | 2026-08-06 | ||
| Template or tool | 4 | 0 | 2024-12-06 | ||
| News or press | 1 | undated |
Most recent
- 2026-09-23What the eu ai act means for ai governance blog
- 2026-09-21Mlops solutions for production machine learning blog
- 2026-09-16Why ai software factories wont always look like factories blog
- 2026-09-15Kubernetes observability blog
- 2026-09-15Machine learning model deployment blog
- 2026-09-15Mlops solutions blog
Events in person
- October 19, 2026 to October 22, 2026LaunchDarkly at Gartner IT Symposium/XPOWalt Disney World Swan and Dolphin Resort, U.S. · exhibits
- October 28, 2026 to October 29, 2026LaunchDarkly at GitHub Universe 2026Fort Mason Center for Arts & Culture, San Francisco · attends
- September 22, 2026 to September 24, 2026LaunchDarkly at HumanX Amsterdam 2026RAI, Amsterdam · attended
- November 4, 2025From Code Tsunami to Controlled Innovation: Launching Software in the Age of AIEstrel Berlin Congress Center, Berlin, Germany · spoke
- November 3, 2025 to November 4, 2025LaunchDarkly at LeadDev Berlin 2025Estrel Berlin Congress Center, Berlin, Germany · exhibited
- October 28, 2025 to October 29, 2025GitHub Universe 2025Fort Mason Center, San Francisco, US · exhibited
As the event pages on launchdarkly.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page launchdarkly.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.