Agentic Index
Beam vs Prime Intellect (2026)
Both sell GPU backed infrastructure to agent teams for different halves of the lifecycle. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Beam is where agents run: open source serverless sandboxes with gVisor isolation, stateful snapshots and bring your own compute, free to develop with and 89 dollars a month for a team. Prime Intellect is where agents are trained and evaluated, pairing a GPU marketplace quoted across more than fifty providers with Lab, a reinforcement learning and evaluation platform spanning more than two thousand five hundred open environments. Teams doing serious reinforcement learning often end up with both.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Beam and Prime Intellect are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Beam if
- You are running agents in production and need isolated sandboxes with predictable per second billing.
- Stateful snapshots and bring your own compute fit how you deploy.
- Documented coverage is broader across integrations, security and triggers for production workloads.
Choose Prime Intellect if
- You are training or fine tuning agents, not just serving them, and reinforcement learning is the work.
- A marketplace quoting more than fifty GPU providers is how you want to buy compute.
- Access to a large library of open evaluation environments shortens your research loop.
| At a glance | Beam | Prime Intellect |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Free Developer ($30/mo credits); Team $89/mo; open source self host; per second GPU and CPU | Usage based, priced per GPU hour with quotes from more than fifty providers; large clusters are quote based |
| Free / trial | Free Developer tier with $30 a month in credits, refreshed monthly | Open source stack and community environments are free to use; hosted compute and training are usage based |
| Pricing confidence | public exact | public partial |
| Feature | B Beam |
P Prime Intellect |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Partial |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | No / Not documented |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
No / Not documented | No / Not documented |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Partial | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Partial | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | B Beam |
P Prime Intellect |
|---|---|---|
|
Entry price Lowest public entry point |
Free Developer ($30/mo credits); Team $89/mo; open source self host; per second GPU and CPU | Usage based, priced per GPU hour with quotes from more than fifty providers; large clusters are quote based |
|
Pricing confidence How public the numbers are |
Public, exact | Public, partial |
|
Billing Primary billing axis |
per second and per millisecond compute (GPU, CPU, RAM) | usage based compute priced per GPU hour, plus inference API usage and hosted training and evaluation |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Mixed |
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