Entrim AI

API for running open-source LLMs — up to 80% cheaper than competitors, with high throughput and privacy-first handling.

Verified API available Free tier
Quick facts
What is it API for running open-source LLMs — up to 80% cheaper than competitors, with high throughput and privacy-first handling.
Pricing Free
Free tier Yes
Platform API
API Yes
Best for running open-source LLMs in production, cost-effective inference for AI chatbots

Data updated Aug. 16, 2026

What does Entrim AI do?

Entrim AI is an LLM inference API that gives you access to open-source models like Qwen 3.6, DeepSeek V4 Flash, and Gemma 4 at prices significantly lower than most competitors. The service is built for production workloads — it runs on high-end GPU clusters (B200, H200, H100) and handles over 200 billion tokens daily with under 700ms time to first token. You get an OpenAI-compatible API, so migrating from another provider is as simple as changing the base URL in your existing code.

The platform is designed around cost efficiency and reliability. Entrim’s optimized inference runtime and intelligent GPU orchestration let it offer up to 80% lower prices than providers like Deepinfra or Chutes. Auto-scaling is on by default, so your traffic spikes don’t require manual provisioning. Privacy is also a priority: requests are processed in RAM, encrypted, and cleared after completion — no data is stored or used for model training. The infrastructure is hosted in an EU data center in Slovenia, making it GDPR-ready.

Entrim AI is a good fit for developers and teams who need to run open-source LLMs at scale without breaking the budget. If you’re building AI chatbots, agentic workflows, or any application that relies on repeated LLM calls, the lower per-token cost adds up quickly. You can try it with $25 in free credits to see if it meets your latency and throughput requirements before committing.

Key features

What makes it stand out
01
Up to 80% lower cost per token compared to other providers
02
High-throughput inference with B200, H200, and H100 GPU clusters
03
OpenAI-compatible API – swap base URL, keep existing SDKs
04
Privacy-first: prompts processed in RAM, not stored or used for training
05
Auto-scaling by default for traffic spikes

Who is Entrim AI for?

Who benefits most from this tool
running open-source LLMs in production
cost-effective inference for AI chatbots
agentic workflows with high throughput

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