Entrim AI
API for running open-source LLMs — up to 80% cheaper than competitors, with high throughput and privacy-first handling.
| 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 outWho is Entrim AI for?
Who benefits most from this toolAlternatives in AI inference
High-throughput LLM inference engine for fast, memory-efficient AI model serving.
Optimize open-source AI models for production — benchmark engines, tune latency, and deploy on any GPU.
A global GPU network for running AI models at scale — serverless, dedicated, or batch inference with pay-per-token pricing.
Serverless GPU platform for deploying machine learning models in minutes, with auto-scaling and pay-per-use pricing.
AI inference platform that routes high-volume tasks to specialized, cost-efficient models instead of expensive frontier LLMs.
Privacy-first AI inference stack — run 45+ open source models with flat monthly pricing and zero data retention
Cloud infrastructure platform for deploying low-latency apps with GPUs, Kubernetes, and flat pricing
High-performance AI inference platform — deploy and scale open-source models like Llama and Gemma with a single API call.
Similar tools
A unified API for over 400 AI models, offering optimized inference, cost reduction, and enterprise-grade reliability.
Access hundreds of AI models through a single API — text, image, video, and speech generation with pay-per-use pricing.