Modal vs RunPod vs Baseten vs Together AI

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

Modal Serverless GPU compute for AI workloads Visit RunPod Per-second GPU cloud — Pods, serverless inference, and multi-node clus... Visit Baseten Production model serving that hit $600M ARR in 2026. Visit Together AI High-performance inference for open-weights LLMs Visit
RECATOOLS Score 7.8 / 10 7 / 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 2021 2022 2022
Maker Zhen Lu, Pardeep Singh
Verdict

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...

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...

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...

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