Prime Intellect bundles compute, training, inference and sandboxes into one platform for post-training your own agents. You turn tasks into RL environments with the Prime CLI, benchmark models on hosted evaluations, then serve them through an OpenAI-compatible API. GPU rental sits alongside, from single nodes to reserved clusters.
Checked against the site's own pages on .
Our take
Worth a look if you're post-training agents rather than just calling a chat model. The environment hub and hosted evals give you a starting point instead of a blank repo. Compute prices are listed per hour, but training and inference costs aren't published, so expect a sales call before you commit.
Features
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RL environments
Build environments with the Prime CLI in one init, develop, eval and push loop, built on the open-source Verifiers library.
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Hosted evaluations
Benchmark models against hosted evaluations with no infrastructure setup, and compare results on a public leaderboard.
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Hosted training
Run large-scale training on managed workflows with visibility and control, drawing on the environment hub's catalogue.
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Inference gateway
Run Prime Hosted Models such as GLM-5.3 or reach third-party providers through one OpenAI-compatible API.
Best for
- Teams post-training agents on their own workflows
- Researchers who need RL environments and hosted evals
- Developers wanting one OpenAI-compatible API across models
- ML teams renting GPUs by the hour
FAQ
- Does Prime Intellect have an API?
- Yes. Prime Hosted Models and the Prime Inference Gateway are both reached through one OpenAI-compatible API.
- How much does Prime Intellect cost?
- Training and inference pricing isn't listed on the site. GPU compute is shown per hour, for example H200 at $1.99/HR, and reserved clusters are quoted on request.
Sources
- www.primeintellect.ai/ (opens in a new tab) Product features, inference API, compute pricing and research
- www.primeintellect.ai/contact (opens in a new tab) Demo booking and sales routing