BerriAI
UnclaimedAI Gateway for unified LLM access, cost tracking, and fallbacks across 100+ models.
Visit WebsiteFreemiumVisit Website
Tracked since2026
0 reviews tracked·2 press mentionsThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Simplifies access to a wide range of LLMs with a single API.
Biggest con
Specific cons are not detailed on the provided pages.
TL;DR - BerriAI
- Unified AI Gateway for 100+ LLMs in OpenAI format.
- Comprehensive cost tracking, budgeting, and rate limiting.
- Simplifies LLM access and management for developers and platform teams.
Pricing: Free plan available
Best for: Growing teams
What is BerriAI?
LiteLLM is an AI Gateway designed to simplify the integration and management of Large Language Models (LLMs) for developers and platform teams. It provides a unified interface, compatible with the OpenAI API format, to access over 100 different LLMs from various providers like OpenAI, Azure, Gemini, Bedrock, and Anthropic.
The platform addresses critical challenges in LLM deployment, including cost management, model access control, and ensuring application resilience through fallbacks. It allows teams to accurately track and attribute LLM usage costs, set budgets and rate limits, and implement guardrails. LiteLLM is ideal for organizations looking to streamline their LLM infrastructure, provide developers with easy access to a wide range of models, and maintain control over spending and performance. It can be deployed as a cloud service or on-premise.
LiteLLM is particularly beneficial for platform teams who need to enable rapid adoption of new LLMs, standardize logging and authentication across different providers, and reduce the operational complexities associated with managing a multi-LLM environment.
Available on: Web
Pros & Cons
Pros
- Simplifies access to a wide range of LLMs with a single API.
- Provides robust cost tracking and management features.
- Enables quick adoption of new LLM models.
- Reduces operational complexity for platform teams.
- Offers both cloud and self-hosted deployment options.
Cons
- Specific cons are not detailed on the provided pages.
Key Features
100+ LLM Provider Integrations (OpenAI, Azure, Gemini, Bedrock, Anthropic, etc.)OpenAI-Compatible API formatAutomatic Spend Tracking (across providers, tag-based, s3/gcs logging)Budgets & Rate Limits (RPM/TPM limits)LLM FallbacksVirtual Keys, Budgets, TeamsLLM GuardrailsLLM Observability (integrations with Langfuse, Arize Phoenix, Langsmith, OTEL Logging)
Pricing Plans
Pricing checked Jun 15, 2026
Open Source
Free
- Free
- 100+ LLM Provider Integrations
- Langfuse, Arize Phoenix, Langsmith, OTEL Logging
- Virtual Keys, Budgets, Teams
- Load Balancing, RPM/TPM limits
- LLM Guardrails
Enterprise
Contact us
- Cloud or Self-Hosted
- For giving LLM access to a large number of developers and projects.
- Everything in OSS
- Enterprise Support + Custom SLAs
- JWT Auth, SSO, Audit Logs
- All Enterprise Features - Docs
Reviews
$99Free with your review
Write a reviewReview BerriAI, get a free AI guide
Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.
Best BerriAI Alternatives
Top alternatives based on features, pricing, and user needs.
Still deciding?
Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.
Explore More
BerriAI FAQ
How does BerriAI streamline AI model deployment for developers?
BerriAI simplifies AI model deployment by providing a unified interface, compatible with the OpenAI API format, to access over 100 different LLMs. This allows developers to integrate various models from providers like OpenAI, Azure, and Anthropic through a single API.
Which teams benefit most from implementing BerriAI?
Platform teams benefit significantly from BerriAI, as it helps them enable rapid adoption of new LLMs and standardize logging and authentication across different providers. It also reduces the operational complexities associated with managing a multi-LLM environment.
How does BerriAI compare to a tool like Kong for API management?
BerriAI is specifically designed as an AI Gateway for unified LLM access and management, whereas Kong is a broader API management platform. BerriAI focuses on features like cost tracking, fallbacks, and access to over 100 LLMs, which are specialized for AI deployments.
Can BerriAI help manage the costs associated with LLM usage?
Yes, BerriAI provides robust cost tracking and management features, allowing teams to accurately track and attribute LLM usage costs. It also enables setting budgets and rate limits to maintain control over spending.
What kind of deployment options are available for BerriAI?
BerriAI offers flexible deployment options, as it can be deployed either as a cloud service or on-premise. This provides organizations with the choice to host the solution according to their infrastructure preferences.
Does BerriAI include a free tier for users to get started?
Yes, BerriAI is available on a free tier, allowing users to begin utilizing its features. Paid plans are also offered for those requiring more usage and additional features.
Source: berri.ai