Fireworks AI vs Modal vs Replicate vs Together AI

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

Fireworks AI Production inference platform for open-weights LLMs Visit Modal Serverless GPU compute for AI workloads Visit Replicate Run any open AI model via API — no infrastructure Visit Together AI High-performance inference for open-weights LLMs Visit
RECATOOLS Score 7.7 / 10 7.8 / 10 8 / 10 8 / 10
Capability 8 8 8 8
Value for money 8 7 7.5 8.5
Ease of use 6 8 7 6.5
ASEAN readiness 6 5 6.5 5.5
API quality 8 8 9 8.5
Pricing Paid Paid Paid Paid
Free tier
Paid from
Has API
Open source
Free to use
Users
Founded 2022 2021 2019 2022
Maker
Verdict

Fireworks AI is a high-performance inference platform for running open-weight LLMs and multimodal models at low latency and competitive per-token cost, with fine-tuning, function calling, JSON mode and an OpenAI-compatib...

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...

Replicate is a developer platform for running open-source and custom AI models via a clean API with pay-per-second pricing, no infrastructure to manage. Its Cog packaging, huge community model catalogue (image, video, au...

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.