RunPod vs Modal vs Baseten vs Together AI

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

RunPod Per-second GPU cloud — Pods, serverless inference, and multi-node clus... Visit Modal Serverless GPU compute for AI workloads Visit Baseten Production model serving that hit $600M ARR in 2026. Visit Together AI High-performance inference for open-weights LLMs Visit
RECATOOLS Score 7 / 10 7.8 / 10 7.4 / 10 8 / 10
Capability 8 8 8
Value for money 7 7 8.5
Ease of use 8 7 6.5
ASEAN readiness 5 6 5.5
API quality 8 8 8.5
Pricing Paid Paid Paid Paid
Free tier No standing free tier; sign-up bonus credits and a Startup Program ($1,000 credit) available
Paid from
Has API
Open source
Free to use
Users 500,000+ developers
Founded 2022 2021 2022
Maker Zhen Lu, Pardeep Singh
Verdict

The pitch that keeps RunPod near the top of GPU-cloud shortlists is honest billing: you pay by the second, and Serverless endpoints cost nothing while idle, so a model can become a product without paying for a GPU that s...

Modal is a serverless compute platform built for AI and data workloads: you define functions in Python, decorate them, and Modal handles containerization, scheduling, GPUs, and autoscaling. Its strengths are developer ex...

This is infrastructure for teams that have models and engineers to run them, not a point-and-click app. Truss, Baseten's open-source framework, turns a Hugging Face or custom model into an autoscaling HTTPS endpoint and...

Together AI is a developer-focused cloud for running, fine-tuning, and training open-source models (Llama, DeepSeek, Qwen, Flux, and many more) with an OpenAI-compatible API, competitive pricing, and strong inference per...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.