Baseten vs Fireworks AI vs Modal vs Together AI
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Baseten
Production model serving that hit $600M ARR in 2026.
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Fireworks AI
Production inference platform for open-weights LLMs
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Modal
Serverless GPU compute for AI workloads
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Together AI
High-performance inference for open-weights LLMs
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| RECATOOLS Score | 7.4 / 10 | 7.7 / 10 | 7.8 / 10 | 8 / 10 |
| Capability | ||||
| Value for money | ||||
| Ease of use | ||||
| ASEAN readiness | ||||
| API quality | ||||
| Pricing | Paid | Paid | Paid | Paid |
| Free tier | — | — | — | — |
| Paid from | — | — | — | — |
| Has API | ✓ | ✓ | ✓ | ✓ |
| Open source | ✗ | ✗ | ✗ | ✗ |
| Free to use | ✗ | ✗ | ✗ | ✗ |
| Users | — | — | — | — |
| Founded | — | 2022 | 2021 | 2022 |
| Maker | — | — | — | — |
| Verdict | 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... |
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... |
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 → |
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.