Side by side
Poolside vs Subquadratic
Compare what each tool does, what it costs, and how it fits your workflow.
Designed for
AGI for the enterprisestarting with software agents.
First sub-quadratic LLM for 12M-token reasoning tasks.
Primary task
Large Language Models
Large Language Models
Pricing
Unknown
Unknown
Pricing details
Not documented — check the provider
Not documented — check the provider
Billing cycle
Not documented
Not documented
API access
Not documented
Listed as available
Platforms
Web
Web
Integrations
Not documented
Linear
Source rating
No rating recorded
5.0 / 5 · 1 ratings
Catalog views
98
5.6k
Estimated monthly traffic
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Catalog imported
30 Aug 2026
31 Aug 2026
Listed strengths
- Enterprise-focused AGI
- Single and multi-agent systems
- Task planning and execution
- Works in sandboxed environments
- Offers development tools
- First sub-quadratic LLM
- 12M-token reasoning capability
- Efficient long-context tasks
- Large-data set processing
- Python source code processing
Listed limitations
- No specific industry focus
- Complex implementation process
- Requires extensive collaboration
- May not suit small businesses
- Limited flexibility outside sandbox
- Limited to 12M tokens
- Specifically for long-context tasks
- No research-style evaluation tools
- No integration with popular IDEs
- Undisclosed latency metrics