3 categories · RankedLiteLLM
LiteLLM is an open-source, MIT-licensed AI gateway and LLM proxy for platform teams · litellm.ai ↗
Strongest at mid-market, contested with Portkey. Ranked 2 of 82 for enterprise buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Portkey is first at 36%.
Ranked first, contested: Portkey has 32%. 6 of 14 models made it the first choice when asked directly.
Bifrost is first at 23%.
Why models recommend it
“The de facto open-source standard for multi-provider integration... Choose LiteLLM if you want a flexible, open-source proxy to eliminate vendor lock-in”Gemini 3.5 Flash · Comparative question · first choice
“Best overall for a limited budget: Self‑host LiteLLM (or Bifrost) → pay only provider rates, full control, and strong cost governance.”GLM 4.7 FlashX · Budget-constrained question · first choice
“Choose LiteLLM if you are a Python shop, need to self-host for data compliance, or want granular control over complex routing rules.”Qwen 3.7 Flash · Comparative question · first choice
“Start with LiteLLM if you have technical capacity—it's free to self-host with core features included.”MiniMax M2.5 · Budget-constrained question · first choice
What gives them pause
“"LiteLLM put a credential stealer on PyPI and Docker on the day of my test, its second compromised release this year." [6]”Muse Glimmer 30B · Negative question · warning
“you should be especially cautious about—or avoid—self-hosted or open-source LLM gateways like LiteLLM and Ollama”Mistral Small · Negative question · warning
“The clearest current red flag is LiteLLM’s 2026 package/container compromises; avoid unverified versions”Perplexity Sonar · Negative question · warning
“Immediate Red Flag: LiteLLM ... two supply chain compromises in 2026 alone”DeepSeek V4 Flash · Negative question · warning
Also on the shortlist
The products named in the same answers as LiteLLM, over the 207 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 144 | 34 | Compare → | |
| 113 | 5 | Compare → | |
| 98 | 3 | Compare → | |
| 90 | 28 | Compare → | |
| 87 | 2 | View → | |
| 51 | 5 | Compare → | |
| 33 | 2 | View → | |
| 28 | 2 | Compare → | |
| 23 | 1 | View → | |
| 22 | 1 | View → |
What the models named instead of LiteLLM →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on LiteLLM's own site, not checked by Gane.
- For
- platform teams
- Price stated
- $0 Free forever.
- Starting price
- 0
- Free plan or trial
- $0 Free forever. Includes: 140+ LLM provider integrations, Langfuse, Arize Phoenix, LangSmith, and OTEL logging, Virtual keys, budgets, and teams, Load balancing and RPM/TPM limits, LLM guardrails. No credit card. Self-host in minutes.
- Integrations
- 140 · 100 (its own pages disagree)
- Customers named
- NVIDIA, Lemonade, Netflix, Okta, AT&T Data Office
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 196 of the 207 answers that named LiteLLM and are not a share of its labels.
Domains cited
484 of the 563 domain citations in answers naming LiteLLM came from a third party's page. Forty-two were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 2 | 0 | 0 | 2 |
| GPT-5.4 mini | 3 | 1 | 0 | 0 | 4 |
| Gemini 3.5 Flash | 4 | 1 | 0 | 1 | 6 |
| Perplexity Sonar | 2 | 1 | 0 | 1 | 4 |
| Grok 4.20 | 2 | 2 | 2 | 1 | 7 |
| Mistral Small | 2 | 1 | 2 | 1 | 6 |
| DeepSeek V4 Flash | 1 | 3 | 1 | 1 | 6 |
| Llama 4 Maverick | 0 | 2 | 2 | 0 | 4 |
| Qwen 3.7 Flash | 3 | 0 | 0 | 1 | 4 |
| Kimi K2 | 1 | 3 | 2 | 2 | 8 |
| GLM 4.7 FlashX | 2 | 3 | 1 | 0 | 6 |
| MiniMax M2.5 | 2 | 1 | 0 | 0 | 3 |
| GPT-6 Luna | 0 | 3 | 0 | 1 | 4 |
| Muse Glimmer 30B | 2 | 1 | 1 | 1 | 5 |
What it publishes
| 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 |
Most recent
- 2026-09-26Litellm roi calculator template or tool
How it is countedHide how it is counted
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.