Best Model Hosting & Inference tools

Running and serving models, hosted or self-managed.

12 tools ranked · updated 2026-08

1. Ranked 1

   77.3 — BenchRank score out of 100

   Phoenix

   Arize Phoenix · Open-source tracing, evaluation and experimentation for AI agents

   Best for: AI engineers who need to trace, evaluate and iterate on LLM agents on their own infrastructure

   

2. Ranked 2

   72.5 — BenchRank score out of 100

   Helicone

   Helicone · AI gateway and LLM observability for routing, debugging and analysing apps

   Best for: AI engineering teams routing, debugging and monitoring LLM calls across many providers

   

3. Ranked 3

   72.2 — BenchRank score out of 100

   Replicate

   Replicate · Run, fine-tune and deploy AI models through a cloud API

   Best for: Developers who want to run, fine-tune or deploy AI models via an API without managing GPUs

   

4. Ranked 4

   70.2 — BenchRank score out of 100

   Langfuse

   Langfuse · Open-source tracing, evaluation and prompt management for LLM apps

   Best for: Engineering teams tracing, evaluating and improving LLM apps who want open source and self-hosting.

   

5. Ranked 5

   64.2 — BenchRank score out of 100

   DigitalOcean

   DigitalOcean · Cloud platform for AI inference, GPUs and general app hosting

   Best for: Developers and small teams wanting per-product cloud pricing for AI inference and app hosting

   

6. Ranked 6

   60 — BenchRank score out of 100

   Ollama

   Ollama · Run open models locally, with cloud capacity for larger ones

   Best for: Developers who want to run open models on their own hardware, with cloud capacity for larger models.

   

7. Ranked 7

   53.3 — BenchRank score out of 100

   Paperspace

   Paperspace · Cloud GPU notebooks, training machines and model deployments

   Best for: ML engineers and small teams wanting on-demand cloud GPUs for notebooks, training and deployment

   

8. Ranked 8

   49.1 — BenchRank score out of 100

   OpenLLMetry

   OpenLLMetry · OpenTelemetry-based tracing for LLM applications

   Best for: Python or TypeScript teams who want LLM traces in an observability tool they already run

   

9. Ranked 9

   49 — BenchRank score out of 100

   Jan

   Jan · Open-source ChatGPT alternative that runs models locally

   Best for: Individuals who want to run open-source AI models locally or connect to cloud models.

   

10. Ranked 10

    44.5 — BenchRank score out of 100

    GPT4All

    GPT4ALL · Local chatbot running open-source language models on your own device

    Best for: Developers, teams and AI power-users who want to run open-source models locally, off the cloud.

    

11. Ranked 11

    30.9 — BenchRank score out of 100

    DeepSeek

    DeepSeek · Chat and API access to the DeepSeek V4 models, billed per token

    Best for: Developers wanting a token-billed LLM API with OpenAI- and Anthropic-compatible endpoints

    

12. Ranked 12

    O23.4 — BenchRank score out of 100

    Open Notebook

    Open-Notebook · Open-source AI note-taking and research platform

    Best for: Researchers, students and professionals who want AI note-taking with control over models and data.