Optillm

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OptiLLM is an Open Source & Models tool that optimizes LLM inference for improved accuracy and performance. It acts as an OpenAI API-compatible proxy, implementing 20+ state-of-the-art techniques without requiring model training.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is optillm?

OptiLLM is an OpenAI API-compatible optimizing inference proxy designed to significantly enhance LLM accuracy and performance on reasoning tasks. It integrates over 20 state-of-the-art techniques, such as Multi-Agent Reasoning Systems (MARS), Cerebras Planning and Optimization (CePO), and Monte Carlo Tree Search (MCTS), to achieve 2-10x accuracy improvements without any model training or fine-tuning. The tool functions as a drop-in replacement for any OpenAI-compatible API endpoint, supporting multiple providers including OpenAI, Anthropic, Google, and Cerebras via LiteLLM. It's production-ready and used by companies and researchers globally, offering features like system prompt learning, long-context processing, and various plugins for memory, privacy, and code execution.

Best used for

Ideal for developers and data scientists who need to significantly improve the accuracy and performance of LLMs on complex reasoning tasks, integrate advanced optimization techniques without fine-tuning, and deploy an OpenAI API-compatible inference proxy. Especially valuable for research and production environments requiring robust and efficient LLM solutions.

Common actions

optimize LLM inference

improve LLM accuracy

enhance reasoning tasks

integrate AI techniques

deploy LLM proxy

"AI Agents"github copilotface swappingdeepfakelow-code/no-codecollaborationautomated workflowworkflowsopen-source

Capabilities

Key features

2-10x accuracy improvement
OpenAI API compatible
20+ optimization techniques
Zero training required
Multi-provider support
Production ready
Plugin architecture

Target Audience

developerdata scientiststartup founder

Integrations

openaianthropicgooglecerebraslitellm

Pricing & Plans

Open Source

Free

FAQs

What kind of accuracy improvements can I expect with OptiLLM?

OptiLLM claims 2-10x accuracy improvements on reasoning tasks like math, coding, and logical problem-solving. Specific benchmarks show gains such as +30 points on AIME 2025 with MARS and +18.6 points on Math-L5 with CePO, demonstrating its effectiveness across diverse challenges.

Does OptiLLM require any model training or fine-tuning?

No, OptiLLM is designed to work without any model training or fine-tuning. It acts as an inference proxy, applying over 20 state-of-the-art optimization techniques at inference time to enhance the performance of existing LLMs, making it a zero-training solution.

Which LLM providers and models does OptiLLM support?

OptiLLM supports major LLM providers including OpenAI, Anthropic, Google, and Cerebras. It also integrates with LiteLLM, allowing compatibility with over 100 models. Users can configure the proxy to work with various OpenAI-compatible endpoints by setting the appropriate environment variables.

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AI Agents & Automation › AI Frameworks & Infra

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