Google DeepMind releases MKA benchmark for multimodal agent tasks
A #2 ranking paired with 6x lower cost per task signals that the agent market is shifting from accuracy-only leaderboards to cost-adjusted comparisons, a framing Artificial Analysis is actively promoting. Teams procuring agents for document-heavy work in engineering, science or operations should track MKA scores when shortlisting models. Buyers in ASEAN and global markets can use the cost-per-task metric to compare against pricier frontier alternatives before committing to long-context multimodal deployments.
