PRIME Intellect

Changelog

Prime Traces

Store, view, and search training and evaluation traces with API access and native support for the verifiers v1 trace format. Use the existing run viewers or browse the Traces page.

Storage and pricing

Platform runs upload traces by default:

  • $1 per GiB ingested
  • $0.10 per GiB per month stored, billed hourly
  • No request or egress fees

To stop uploads, select your workspace and turn off Upload runs to Prime Traces under Billing → Usage Limits (personal) or Team Billing → Usage Limits. Existing traces are kept.

Export legacy data before November 6

Legacy evaluation and training sample storage retires on November 6, 2026. Data will not migrate automatically.

Select each workspace, open personal settings or team settings, select Request export, then return when ready to select Download archive before the deadline.

Export and download are free. Archives cannot be imported directly into Prime Traces.

Read the documentation

Open Prime Traces

Prime Inference

Our inference offering is now publicly available. Access frontier models through the Prime CLI or an OpenAI-compatible API using your Prime API key, with serverless endpoints and reserved capacity.

The serving infrastructure behind this release has powered large-scale customer deployments, including Trinity, since January, alongside our internal RL training, evaluations, and agent workloads.

Available in Prime Agent

Select Prime Inference as your provider to use Prime-hosted models directly in your agent workflows.

Read the Prime Inference announcement

View the launch thread on X

Read the Inference documentation

Start using inference

Prime Sandboxes

Prime Sandboxes are now generally available. Run agents in full Linux virtual machines, using the Docker images and development tools you already work with.

Use them through the CLI and SDK, or as part of your evaluation and training workflows with verifiers and prime-rl.

TerminalPrime Sandboxes
# Create a Linux VM from a Docker image
$ prime sandbox create python:3.11-slim
# Run code inside your sandbox
$ prime sandbox run <sandbox-id> -- python3 -c "print('hello')"

Built for agent workloads

Each sandbox has its own Linux kernel, with native support for Docker Compose, background jobs, and system-level tools. Bring an existing container image to get started.

Read the Sandboxes documentation

Read the Prime Sandboxes announcement

Earlier updates

For releases before September 14, 2026, explore our announcements on X, documentation, and repository release logs.