| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| LLM gateways and observability | Data platform | 31% | 1 of 69 | 16% | 58 | endorsed leader | ▼−4Since September 2026: 38% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AI governance platforms | Data platform | 0% | 29 of 135 | 0% | 4 | under 10 labels · led by Credo AI at 18% | |
| AI security platforms | Security operations | 0% | 63 of 233 | 0% | 2 | under 10 labels · led by SentinelOne Singularity at 11% | |
| API gateways | Developer platform | 0% | 43 of 66 | 0% | 1 | under 10 labels · led by Kong Gateway at 53% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| LLM gateways | 38% | 33% | ▼−4Since September 2026: 38% → 33%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 69, unchanged |
| AI governance | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 29 of 135, unchanged |
| AI security | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 63 of 233, unchanged |
| API gateways | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 44 → 43 of 66 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 2 | 0 | 0 | 3 |
| GPT-5.4 mini | 3 | 1 | 1 | 0 | 5 |
| Gemini 3.5 Flash | 4 | 1 | 1 | 1 | 7 |
| Perplexity Sonar | 1 | 1 | 1 | 0 | 3 |
| Grok 4.20 | 2 | 4 | 0 | 1 | 7 |
| Mistral Small | 2 | 0 | 1 | 0 | 3 |
| DeepSeek V4 Flash | 2 | 1 | 1 | 1 | 5 |
| Llama 4 Maverick | 1 | 0 | 1 | 1 | 3 |
| Qwen 3.7 Flash | 1 | 1 | 0 | 1 | 3 |
| Kimi K2 | 2 | 1 | 1 | 2 | 6 |
| GLM 4.7 FlashX | 2 | 3 | 0 | 0 | 5 |
| MiniMax M2.5 | 1 | 1 | 1 | 1 | 4 |
| GPT-6 Luna | 1 | 3 | 1 | 1 | 6 |
| Muse Glimmer 30B | 2 | 2 | 1 | 0 | 5 |
Verbatim evidence the judge attached to positive labels.
“For the most budget-conscious, LiteLLM (free, open-source) and OpenRouter (low-fee pay-as-you-go) are top choices.” Mistral Small · LLM gateways · budget prompt · first choice
“If you are a Platform Engineer: Use LiteLLM. It allows you to standardize on one API key for the whole company” GLM 4.7 FlashX · LLM gateways · comparative prompt · first choice
“If your engineering team is already familiar with Docker and prefers open-source, deploy LiteLLM + Langfuse.” Gemini 3.5 Flash · LLM gateways · paraphrase prompt · first choice
“likely to be an open-source gateway such as LiteLLM, Bifrost, or Apache APISIX, which are free to license” Llama 4 Maverick · LLM gateways · budget prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“High Caution/Avoid if Possible: LiteLLM (especially older/self-hosted versions): Suffered a major supply chain attack” Grok 4.20 · LLM gateways · negative prompt · hard negative
“Avoid: - LiteLLM in its current state (until security issues are fully resolved)” Kimi K2 · LLM gateways · negative prompt · hard negative
“Avoid LiteLLM unless you have dedicated security engineering” DeepSeek V4 Flash · LLM gateways · negative prompt · hard negative
“LiteLLM (Exercise Extreme Caution)... its massive adoption has made it the target of highly sophisticated attacks and a flurry of severe security vulnerabilities” Gemini 3.5 Flash · LLM gateways · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 189 of the 193 answers that named LiteLLM and are not a share of its labels.
600 of the 643 domain citations in answers naming LiteLLM came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Report or ebook | 11 | undated | |||
| Glossary or explainer | 4 | undated | |||
| Comparison | 2 | undated | |||
| Template or tool | 2 | 1 | 2026-09-26 |
Every page litellm.ai 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. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What LiteLLM's own pages state, read September 28, 2026: litellm.ai, litellm.ai/pricing, trust.litellm.ai. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when LiteLLM's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as LiteLLM, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for LiteLLM by email, built from the raw record of the edition. It shows:
AI models recommend LiteLLM first in LLM gateways and observability this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.