---
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/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/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 the fastest AI and MCP Gateway built for enterprise-grade reliability, governance, and scale. [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?

You can get started with the open-source version in seconds for free. Book a demo to learn more about Bifrost Enterprise pricing. [Book a Demo](https://www.getmaxim.ai/book-a-demo).

### 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/pricing)
- [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.*