---
title: "LiteLLM alternatives"
description: "Compare LiteLLM alternatives for scalable enterprise AI gateways, including performance, deployment complexity, governance, observability, MCP support, and migration path."
url: "https://www.getmaxim.ai/bifrost/alternatives/litellm-alternatives"
markdown: "https://www.getmaxim.ai/bifrost/alternatives/litellm-alternatives.md"
---

# LiteLLM alternatives

> Compare LiteLLM alternatives for scalable enterprise AI gateways, including performance, deployment complexity, governance, observability, MCP support, and migration path.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/bifrost/enterprise)
- [Pricing](https://www.getmaxim.ai/bifrost/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo)

## What LiteLLM Is

_Gateway overview_

LiteLLM is an open-source, Python-based LLM proxy that provides a unified OpenAI-compatible API for routing requests across multiple LLM providers.

LiteLLM is useful for prototyping and multi-provider experimentation. Higher-scale production workloads can require lower overhead, simpler operations, stronger governance, native MCP controls, and built-in guardrails.

- [Migrating from LiteLLM](https://www.getmaxim.ai/bifrost/resources/migrating-from-litellm.md)
- [LiteLLM alternative resource](https://www.getmaxim.ai/bifrost/resources/litellm-alternative.md)

## Bifrost Performance At A Glance

_Published comparison metrics_

- **9.5x Faster throughput.** More requests processed per second in the Bifrost vs LiteLLM comparison. [Benchmarks](https://www.getmaxim.ai/bifrost/resources/benchmarks.md).
- **54x Lower P99 latency.** Lower P99 latency in the Bifrost vs LiteLLM comparison.
- **68% Less memory.** Lower memory usage in the Bifrost vs LiteLLM comparison.
- **40x Less overhead.** Lower gateway processing overhead in the Bifrost vs LiteLLM comparison.

## LiteLLM Strengths

- **Unified provider access:** LiteLLM provides a single API for multiple LLM providers with an OpenAI-compatible interface.
- **Self-hosted and open source:** LiteLLM can be self-hosted and gives teams control over deployment and data flow.
- **Broad provider catalog:** LiteLLM supports a broad set of LLM APIs across major and niche providers.
- **Strong community:** LiteLLM is widely used across developer communities and has active open-source adoption.

## LiteLLM Production Challenges

- **Python GIL bottleneck:** Python runtime limits can create concurrency bottlenecks under high load.
- **Async overhead:** Asyncio context switching and event-loop management can add overhead as request concurrency grows.
- **Database dependency:** Production LiteLLM deployments commonly require PostgreSQL and Redis, adding operational complexity.
- **Limited enterprise governance:** Teams may need additional engineering for native RBAC, workspaces, audit logs, and granular budget controls.

## Bifrost vs LiteLLM Feature Comparison

| Feature | Bifrost | LiteLLM |
| --- | --- | --- |
| Language | Go | Python |
| Gateway overhead per request | 11 microseconds in stress-test context | ~8ms in this comparison |
| High-load success rate | 100% at 5K RPS in published stress tests | Degrades above 500 RPS in this comparison |
| Memory usage | 68% less in comparison | Baseline |
| Adaptive load balancing | Included | Not included |
| Health-aware routing | Included | Fallback only |
| MCP Code Mode | Included | Not included |
| MCP tool hosting | Included | Not included |
| Built-in guardrails | Included | Plugin-based |
| Semantic cache | Included | Not included |
| Native OpenTelemetry | Included | Not included |
| Request/response debug | Included | Not included |
| Setup time | 30 seconds with NPX or Docker | 5-10 minute setup |
| Deployment asset | Single binary, Docker, Kubernetes | Python package, Docker |
| Docker size | 80 MB | Greater than 700 MB |

## Migration Path

Bifrost is a migration path for teams that need higher throughput, lower overhead, simpler deployment, native observability, governance, MCP support, and guardrails.

1. **01 - Install Bifrost.** Start Bifrost with NPX, Docker, or the Go SDK.

### Install

_terminal_

```
# Option 1: NPX
npx -y @maximhq/bifrost

# Option 2: Docker
docker run -p 8080:8080 maximhq/bifrost

# Option 3: Go SDK
go get github.com/maximhq/bifrost/core@latest
```

2. **02 - Configure providers.** Use the web UI to add provider keys, configure models, set fallback chains, and define routing behavior.

### Open dashboard

_terminal_

```
open http://localhost:8080
```

3. **03 - Update the endpoint.** Point your compatible SDK or application base URL at Bifrost. The request format can remain OpenAI-compatible.

### Request through Bifrost

_curl_

```
curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-4o-mini","messages":[{"role":"user","content":"Hello!"}]}'
```

- [Gateway setup docs](https://docs.getbifrost.ai/quickstart/gateway/setting-up)
- [Drop-in replacement docs](https://docs.getbifrost.ai/features/drop-in-replacement)
- [Migrating from LiteLLM resource](https://www.getmaxim.ai/bifrost/resources/migrating-from-litellm.md)

## Features

### OSS Features

- **01 - Model Catalog:** Access 8+ providers and 1000+ AI models through a unified interface. Also supports custom deployed models.
- **02 - Budgeting:** Set spending limits and track costs across teams, projects, and models.
- **03 - Provider Fallback:** Automatic failover between providers ensures 99.99% uptime for your applications.
- **04 - MCP Gateway:** Centralize all MCP tool connections, governance, security, and auth. Your AI can safely use MCP tools with centralized policy enforcement. [MCP Gateway resource](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md).
- **05 - Virtual Key Management:** Create different virtual keys for different use cases with independent budgets and access control.
- **06 - Unified Interface:** One consistent API for all providers. Switch models without changing code.
- **07 - Drop-in Replacement:** Replace your existing SDK with just one line change. Compatible with OpenAI, Anthropic, LiteLLM, Google GenAI, LangChain, and more. [Drop-in replacement docs](https://docs.getbifrost.ai/features/drop-in-replacement).
- **08 - Built-in Observability:** Out-of-the-box OpenTelemetry support. Built-in dashboard for quick visibility without complex setup.
- **09 - Community Support:** Active Discord community with responsive support and regular updates.

### Enterprise Features

- **01 - Governance:** SAML support for SSO and role-based access control with policy enforcement for team collaboration. [Governance resource](https://www.getmaxim.ai/bifrost/resources/governance.md).
- **02 - Adaptive Load Balancing:** Automatically optimizes traffic distribution across provider keys and models based on real-time performance metrics.
- **03 - Cluster Mode:** High availability deployment with automatic failover and load balancing. Peer-to-peer clustering where every instance is equal.
- **04 - Alerts:** Real-time notifications for budget limits, failures, and performance issues on Email, Slack, PagerDuty, Teams, Webhook, and more.
- **05 - Log Exports:** Export and analyze request logs, traces, and telemetry data from Bifrost with enterprise-grade data export for compliance, monitoring, and analytics.
- **06 - Audit Logs:** Comprehensive logging and audit trails for compliance and debugging.
- **07 - Vault Support:** Secure API key management with HashiCorp Vault, AWS Secrets Manager, Google Secret Manager, and Azure Key Vault integration.
- **08 - VPC Deployment:** Deploy Bifrost within your private cloud infrastructure with VPC isolation, custom networking, and enhanced security controls. [Enterprise deployment resource](https://www.getmaxim.ai/bifrost/resources/enterprise-deployment.md).
- **09 - Guardrails:** Automatically detect and block unsafe model outputs with real-time policy enforcement and content moderation across all agents. [Guardrails resource](https://www.getmaxim.ai/bifrost/resources/guardrails.md).

## Drop-in replacement for compatible AI SDKs

Change one line of code to point compatible SDKs at Bifrost. Works with OpenAI, Anthropic, LiteLLM, Google GenAI, LangChain, and Vercel AI SDK.

### OpenAI

_openai.py_

```
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),
    base_url="https://<bifrost_url>/openai",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

### Anthropic

_anthropic.py_

```
import os
from anthropic import Anthropic

anthropic = Anthropic(
    api_key=os.environ.get("ANTHROPIC_API_KEY"),
    base_url="https://<bifrost_url>/anthropic",
)

message = anthropic.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Claude"}],
)
```

### LiteLLM

_litellm.py_

```
import litellm

# Set the base URL to your Bifrost deployment
litellm.api_base = "https://<bifrost_url>"

response = litellm.completion(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
```

### Google GenAI

_genai.py_

```
import google.generativeai as genai

genai.configure(
    api_key="YOUR_API_KEY",
    transport="rest",
    client_options={"api_endpoint": "<bifrost_url>/google"},
)

model = genai.GenerativeModel("gemini-pro")
response = model.generate_content("Hello!")
```

- Point the SDK base URL at your Bifrost deployment.
- Keep API keys in your environment or secret manager.
- See the docs for provider-specific configuration and deployment steps.

- [Gateway setup docs](https://docs.getbifrost.ai/quickstart/gateway/setting-up)
- [Drop-in replacement docs](https://docs.getbifrost.ai/features/drop-in-replacement)

## Trust And Deployment

- **Open Source:** Bifrost is open source under the Apache 2.0 License. [GitHub](https://github.com/maximhq/bifrost).
- **Publisher:** Bifrost is published by H3 Labs Inc. and Maxim AI.
- **Compliance:** The site references SOC 2 Type II, GDPR, HIPAA, and ISO 27001 signals. [Enterprise deployment](https://www.getmaxim.ai/bifrost/resources/enterprise-deployment.md).
- **Deployment:** Enterprise resources cover VPC, on-premise, air-gapped, and multi-cloud use. [Enterprise deployment](https://www.getmaxim.ai/bifrost/resources/enterprise-deployment.md).

## FAQ

### What is Bifrost?

Bifrost is an open-source LLM gateway that introduces 11 microseconds of overhead at 5K RPS on a t3.xlarge machine. It provides a unified layer for model access, guardrails, and governance across AI systems. [Docs](https://docs.getbifrost.ai), [GitHub](https://github.com/maximhq/bifrost).

### How is my data protected?

Bifrost offers zero-touch in-VPC deployments, so no data ever leaves your environment or passes through Bifrost/Maxim servers. [Governance](https://www.getmaxim.ai/bifrost/resources/governance.md), [Enterprise deployment](https://www.getmaxim.ai/bifrost/resources/enterprise-deployment.md).

### Can Bifrost integrate with my existing AI stack?

Yes. Bifrost works with major LLM SDKs and frameworks. Compatible SDKs include OpenAI, Anthropic, Mistral, LangChain, LangGraph, and LiteLLM. [Drop-in replacement docs](https://docs.getbifrost.ai/features/drop-in-replacement).

### How much does Bifrost cost?

Pricing is based on the number of devices Edge runs on. Bifrost Edge is currently available in early access, and we are offering it at no cost to our existing enterprise customers. Full pricing will be released soon. [Pricing](https://www.getmaxim.ai/bifrost/pricing.md).

### How can I get started with Bifrost?

You can get started with the open-source version in seconds: npx @maximhq/bifrost [Docs](https://docs.getbifrost.ai), [GitHub](https://github.com/maximhq/bifrost).

## Related Resources

- [Alternatives hub](https://www.getmaxim.ai/bifrost/alternatives.md)
- [Performance benchmarks](https://www.getmaxim.ai/bifrost/resources/benchmarks.md)
- [LLM gateway buyer's guide](https://www.getmaxim.ai/bifrost/resources/buyers-guide.md)
- [LiteLLM migration](https://www.getmaxim.ai/bifrost/resources/migrating-from-litellm.md)
- [MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Governance](https://www.getmaxim.ai/bifrost/resources/governance.md)
- [Guardrails](https://www.getmaxim.ai/bifrost/resources/guardrails.md)
- [Pricing](https://www.getmaxim.ai/bifrost/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/alternatives/litellm-alternatives](https://www.getmaxim.ai/bifrost/alternatives/litellm-alternatives) for AI/LLM consumption.*