
# Introducing the Core2x Processor for improved compute control on the Task API
Starting today, a new Processor, Core2x, is available in the Parallel Task API to offer developers finer control over the compute budget they wish to allocate for a given web research task.

As AI systems begin to query the web orders of magnitude beyond regular human usage patterns, compute allocation becomes a fundamental infrastructure challenge.
Our belief is that there is dramatic variance in computational requirements across different research tasks. A routine data enrichment query should not consume the same resources as a complex multi-hop investigation requiring extensive validation and synthesis.
Parallel's Processor[Processor]($https://parallel.ai/pricing) architecture addresses this challenge through granular compute allocation, spanning from Lite Processors at 5 CPM to Ultra8x at 2,400 CPM. Today, we're introducing Core2x at 50 CPM—filling a critical gap between Core and Pro Processors for moderately complex research tasks that require more depth than basic enrichment but less compute than full exploratory analysis.
## **Why Core2x?**
The jump from Core ($25 CPM) to Pro ($100 CPM) represented a 4x increase in cost for 4x increase in compute budget. For many production workflows, this previously meant that Core Processors occasionally lacked the depth for multi-hop workflows that require complex synthesis, while Pro Processors over-allocated compute for tasks that didn't require as much extensive exploration.
Core2x sits precisely in this gap. At $50 CPM with 2-5 minute latency, it delivers 2x the compute of Core while maintaining efficient turnaround times for moderate-complexity research tasks.
## **When to use Core2x**
Core2x is optimized for research tasks that require:
- - Cross-validation across multiple sources without deep research level exploration
- - Moderately complex synthesis where Core might fall short
- - Structured outputs with 10 fields requiring verification
- - Production workflows where Pro's compute budget exceeds requirements
Consider Core2x when your task demands more rigor than standard enrichment but doesn't require the multi-source deep research capabilities of Pro or Ultra+ Processors.
Get started in our Developer Platform[Developer Platform]($https://platform.parallel.ai/) or dive into the documentation[documentation]($https://docs.parallel.ai/task-api/guides/choose-a-processor).
By Parallel
October 9, 2025




























