# LiteLLM vs Bifrost: which do AI models recommend for LLM gateways, October 2026

IT AI Recommendation Index, October 2026 Edition, LLM gateways and observability. Two of fourteen models named LiteLLM first on the direct prompt; zero named Bifrost. Page: https://it-ai-index.com/it-data/llm-gateways-and-observability/litellm-vs-bifrost/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| LiteLLM | 31% | #1 of 8 | 16% | 58 | 14 of 14 |
| Bifrost | 4% | #5 of 8 | 8% | 24 | 11 of 14 |

## The direct prompt, model by model

- GPT-5.4 mini: litellm first (first choices: LiteLLM) (alternatives: Portkey)
- Gemini 3.5 Flash: litellm first (first choices: LiteLLM) (alternatives: Bifrost, Cloudflare AI Gateway, Portkey)
- Claude Haiku 4.5: neither first, one named (first choices: Portkey) (alternatives: Bifrost, LiteLLM, Nexos.ai, OpenRouter)
- Perplexity Sonar: neither first, one named (first choices: Portkey) (alternatives: Bifrost, LiteLLM)
- Grok 4.1 Fast: neither first, one named (first choices: Portkey AI Gateway) (alternatives: Bifrost, Cloudflare AI Gateway, LiteLLM)
- DeepSeek V4 Flash: neither first, one named (first choices: Portkey) (alternatives: Helicone, LiteLLM, OpenRouter)
- Qwen 3.7 Flash: neither first, one named (first choices: Portkey) (alternatives: Amazon Bedrock, Azure AI, LiteLLM)
- Kimi K2: neither first, one named (first choices: Portkey) (alternatives: Cloudflare AI Gateway, Kong AI Gateway, LiteLLM)
- GLM 4.7 FlashX: neither first, one named (first choices: OpenRouter, Portkey) (alternatives: Kong AI Gateway, LiteLLM)
- GPT-6 Luna: neither first, one named (first choices: Portkey, now branded PRISMA AIRS AI Gateway) (alternatives: Cloudflare AI Gateway, LiteLLM)
- Muse Glimmer 30B: neither first, one named (first choices: Portkey) (alternatives: LiteLLM, OpenRouter)
- Mistral Small: neither named (first choices: Nexos.ai) (alternatives: Cloudflare AI Gateway)
- Llama 4 Maverick: neither named
- MiniMax M2.5: neither named (first choices: Helicone, Portkey.ai) (alternatives: Cloudflare AI Gateway, Kong AI Gateway)

## What the models said about LiteLLM

- "High Caution/Avoid if Possible: LiteLLM (especially older/self-hosted versions): Suffered a major supply chain attack" (Grok 4.1 Fast, negative prompt, hard negative)
- "Avoid:
- LiteLLM in its current state (until security issues are fully resolved)" (Kimi K2, negative prompt, hard negative)
- "Avoid LiteLLM unless you have dedicated security engineering" (DeepSeek V4 Flash, negative prompt, hard negative)
- "For the most budget-conscious, LiteLLM (free, open-source) and OpenRouter (low-fee pay-as-you-go) are top choices." (Mistral Small, 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, comparative prompt, first choice)
- "If your engineering team is already familiar with Docker and prefers open-source, deploy LiteLLM + Langfuse." (Gemini 3.5 Flash, paraphrase prompt, first choice)

## What the models said about Bifrost

- "Avoid or be cautious with Bifrost for high-scale or real-time use cases." (Mistral Small, negative prompt, hard negative)
- "Trade-offs: Newer project; smaller community; more DIY" (DeepSeek V4 Flash, comparative prompt, soft negative)
- "Bifrost is an open-source, ultra-high-performance gateway... For maximum speed, Bifrost (Go-native with microsecond overhead) ... are superior." (Gemini 3.5 Flash, comparative prompt, first choice)
- "I'd recommend starting with LiteLLM or Bifrost as they offer the most functionality at zero licensing cost" (Kimi K2, budget prompt, first choice)
- "open-source gateway such as LiteLLM, Bifrost, or Apache APISIX, which are free to license" (Llama 4 Maverick, budget prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.