Hal 1.0
For complex agents, technical reasoning, deep analysis, and high-stakes enterprise workflows.
Maximum capability
Complex reasoning and analysis
Multi-step logic, long document synthesis, research-grade tasks
Agentic workflows
Autonomous multi-tool chains, orchestration, sustained decision-making over long contexts
Deep code generation
Large codebase refactoring, architecture-level planning, multi-file implementations
Significant savings with prompt caching (up to 90%) on repeated prompts.
Comparable to Opus 4.7 and GPT-5.5
Primary use cases
Perform multi-step analysis, planning, decision support, and tradeoff evaluation.
Assist with architecture, debugging, migration, refactoring, and test generation.
Synthesize long documents, compare sources, and prepare executive-ready reports.
Execute longer workflows across tools, APIs, and internal systems.
Review contracts, filings, diligence materials, and variance explanations.
Analyze logs, incidents, infrastructure plans, and root-cause reports.
Generate plans, evaluate options, and summarize decisions for executives.
Key capabilities
Use Hal when the
answer matters
Hal is built for enterprise workloads where the model needs to reason, plan, compare, generate, debug, or decide across multiple steps.
Advanced capability without overpaying for every request
Hal works best as part of a routed model strategy. Use Tycho for high-volume tasks, Clarke for default production workloads, and Hal for the hardest work.
Built for complex
agents
Hal is designed for workflows that require tool use, context synthesis, planning, and multi-step execution across enterprise systems.
Private, controlled,
enterprise-ready
Hal runs through Radium's enterprise delivery layer, giving organizations more control over deployment, routing, logging, and cost visibility than black-box frontier API workflows.
For teams using Opus or GPT highest-capability reasoning models.
Hal is the Radium model for workloads that would otherwise be sent to Claude Opus or the highest-capability OpenAI reasoning and coding endpoints. It is designed for selective use: route the hardest tasks to Hal, while Tycho and Clarke handle the rest of production volume.
Reserve your highest-value
work for Hal 1.0.
Route complex reasoning, advanced coding, and high-stakes workflows
to Radium's most capable model endpoint.