LiteLLM Pricing & Plans 2026

Name: LiteLLM
Brand: LiteLLM
Availability: InStock

Complete pricing guide for LiteLLM. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether LiteLLM is worth it →

🆓Free Tier Available

💎1 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free self-hosted core

Free

Start Free →

Enterprise

Custom pricing

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Pricing sourced from LiteLLM · Last verified March 2026

Feature Comparison

Detailed feature comparison coming soon. Visit LiteLLM's website for complete plan details.

View Full Features →

Is LiteLLM Worth It?

✅ Why Choose LiteLLM

• Provides a unified API proxy for 100+ LLM providers, reducing the need to maintain separate provider integrations in application code.
• Uses an OpenAI-compatible interface, which can make it easier for teams already using OpenAI-style APIs to add or switch providers.
• Includes production-oriented routing capabilities such as load balancing and automatic failovers.
• Supports spend tracking and budget controls, which are important for managing unpredictable LLM usage costs.
• Open-source positioning gives technical teams more transparency and deployment flexibility than a purely closed hosted gateway.
• Fits centralized AI infrastructure use cases where multiple applications or teams need consistent provider access and governance.

⚠️ Consider This

• Adding an AI gateway introduces another infrastructure component that must be deployed, configured, monitored, and kept reliable.
• Teams using only one LLM provider may not benefit enough from routing, failover, and multi-provider abstraction to justify the extra layer.
• Enterprise pricing is custom rather than transparent in the supplied metadata, so larger teams need a sales process to understand total cost.
• The scraped website content provided here is hard-trimmed and does not include detailed public plan limits, SLA terms, or enterprise feature boundaries.
• LiteLLM focuses on gateway and proxy infrastructure; teams looking primarily for prompt collaboration, evaluation workflows, or analytics dashboards may need complementary tools.

What Users Say About LiteLLM

👍 What Users Love

✓Provides a unified API proxy for 100+ LLM providers, reducing the need to maintain separate provider integrations in application code.
✓Uses an OpenAI-compatible interface, which can make it easier for teams already using OpenAI-style APIs to add or switch providers.
✓Includes production-oriented routing capabilities such as load balancing and automatic failovers.
✓Supports spend tracking and budget controls, which are important for managing unpredictable LLM usage costs.
✓Open-source positioning gives technical teams more transparency and deployment flexibility than a purely closed hosted gateway.
✓Fits centralized AI infrastructure use cases where multiple applications or teams need consistent provider access and governance.

👎 Common Concerns

⚠Adding an AI gateway introduces another infrastructure component that must be deployed, configured, monitored, and kept reliable.
⚠Teams using only one LLM provider may not benefit enough from routing, failover, and multi-provider abstraction to justify the extra layer.
⚠Enterprise pricing is custom rather than transparent in the supplied metadata, so larger teams need a sales process to understand total cost.
⚠The scraped website content provided here is hard-trimmed and does not include detailed public plan limits, SLA terms, or enterprise feature boundaries.
⚠LiteLLM focuses on gateway and proxy infrastructure; teams looking primarily for prompt collaboration, evaluation workflows, or analytics dashboards may need complementary tools.

Pricing FAQ

Can I use LiteLLM without Docker?

Yes. LiteLLM is available as a Python package (pip install litellm) that you can use as a library in your code or run as a standalone proxy server. Docker is recommended for production deployments but not required.

Does LiteLLM add latency to my API calls?

LiteLLM adds a gateway hop between your application and model provider. Actual latency depends on deployment location, logging configuration, routing rules, provider latency, and network conditions, so teams should benchmark it in their own environment before production rollout.

How does LiteLLM compare to using provider SDKs directly?

Direct provider SDKs can be simpler for a single provider. LiteLLM is more useful when teams need automatic failover, unified spend tracking, budget enforcement, and the ability to switch or combine providers behind an OpenAI-compatible interface.

Is my data safe when using LiteLLM?

LiteLLM can be self-hosted so the gateway runs inside your own infrastructure. However, model requests still go to the configured model providers unless routed to local models, so teams should review both LiteLLM deployment settings and each provider's data handling policies.

Which LLM providers does LiteLLM support?

LiteLLM supports 100+ providers including OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Azure OpenAI, Cohere, Mistral, Together AI, Replicate, Hugging Face, Ollama for local models, and many more.

Can I use LiteLLM for local/self-hosted models like Ollama or vLLM?

Yes. LiteLLM supports routing to local model servers including Ollama, vLLM, and OpenAI-compatible endpoints. This allows teams to mix cloud and local models in the same routing configuration with unified logging and spend tracking.

Ready to Get Started?

AI builders and operators use LiteLLM to streamline their workflow.

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More about LiteLLM

Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

LiteLLM Pricing & Plans 2026

Complete pricing guide for LiteLLM. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎1 Paid Plans

⚡No Setup Fees

Is LiteLLM Worth It?

✅ Why Choose LiteLLM

• Provides a unified API proxy for 100+ LLM providers, reducing the need to maintain separate provider integrations in application code.
• Uses an OpenAI-compatible interface, which can make it easier for teams already using OpenAI-style APIs to add or switch providers.
• Includes production-oriented routing capabilities such as load balancing and automatic failovers.
• Supports spend tracking and budget controls, which are important for managing unpredictable LLM usage costs.
• Open-source positioning gives technical teams more transparency and deployment flexibility than a purely closed hosted gateway.
• Fits centralized AI infrastructure use cases where multiple applications or teams need consistent provider access and governance.

⚠️ Consider This

• Adding an AI gateway introduces another infrastructure component that must be deployed, configured, monitored, and kept reliable.
• Teams using only one LLM provider may not benefit enough from routing, failover, and multi-provider abstraction to justify the extra layer.
• Enterprise pricing is custom rather than transparent in the supplied metadata, so larger teams need a sales process to understand total cost.
• The scraped website content provided here is hard-trimmed and does not include detailed public plan limits, SLA terms, or enterprise feature boundaries.
• LiteLLM focuses on gateway and proxy infrastructure; teams looking primarily for prompt collaboration, evaluation workflows, or analytics dashboards may need complementary tools.

What Users Say About LiteLLM

👍 What Users Love

✓Provides a unified API proxy for 100+ LLM providers, reducing the need to maintain separate provider integrations in application code.
✓Uses an OpenAI-compatible interface, which can make it easier for teams already using OpenAI-style APIs to add or switch providers.
✓Includes production-oriented routing capabilities such as load balancing and automatic failovers.
✓Supports spend tracking and budget controls, which are important for managing unpredictable LLM usage costs.
✓Open-source positioning gives technical teams more transparency and deployment flexibility than a purely closed hosted gateway.
✓Fits centralized AI infrastructure use cases where multiple applications or teams need consistent provider access and governance.

👎 Common Concerns

⚠Adding an AI gateway introduces another infrastructure component that must be deployed, configured, monitored, and kept reliable.
⚠Teams using only one LLM provider may not benefit enough from routing, failover, and multi-provider abstraction to justify the extra layer.
⚠Enterprise pricing is custom rather than transparent in the supplied metadata, so larger teams need a sales process to understand total cost.
⚠The scraped website content provided here is hard-trimmed and does not include detailed public plan limits, SLA terms, or enterprise feature boundaries.
⚠LiteLLM focuses on gateway and proxy infrastructure; teams looking primarily for prompt collaboration, evaluation workflows, or analytics dashboards may need complementary tools.

LiteLLM Pricing & Plans 2026

Choose Your Plan

Free self-hosted core

Enterprise

Feature Comparison

Is LiteLLM Worth It?

✅ Why Choose LiteLLM

⚠️ Consider This

What Users Say About LiteLLM

👍 What Users Love

👎 Common Concerns

Pricing FAQ

Can I use LiteLLM without Docker?

Does LiteLLM add latency to my API calls?

How does LiteLLM compare to using provider SDKs directly?

Is my data safe when using LiteLLM?

Which LLM providers does LiteLLM support?

Can I use LiteLLM for local/self-hosted models like Ollama or vLLM?

Ready to Get Started?

More about LiteLLM

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LiteLLM Pricing & Plans 2026

Choose Your Plan

Free self-hosted core

Enterprise

Feature Comparison

Is LiteLLM Worth It?

✅ Why Choose LiteLLM

⚠️ Consider This

What Users Say About LiteLLM

👍 What Users Love

👎 Common Concerns

Pricing FAQ

Can I use LiteLLM without Docker?

Does LiteLLM add latency to my API calls?

How does LiteLLM compare to using provider SDKs directly?

Is my data safe when using LiteLLM?

Which LLM providers does LiteLLM support?

Can I use LiteLLM for local/self-hosted models like Ollama or vLLM?

Ready to Get Started?

More about LiteLLM

Compare LiteLLM Pricing with Alternatives

Portkey Pricing

Helicone Pricing

OpenRouter Pricing

PromptLayer Pricing