Unverified50% confidenceFactExact time
The reason V4.1 Flash's total cost increased is that it tends to spawn more sub-Agents in complex tasks; in the benchmark, two problems cumulatively spawned 37 sub-Agents and burned through more than one million tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/10/2026
First Seen
Valid until: 1/8/2027
Sources
Related Entities
Related Claims
UnverifiedCompared to the old Flash model, V4.1 Flash has more comprehensive capabilities and more accurate recognition, but takes longer and costs more per session.78% similarUnverifiedThe asymmetric input-output architecture of V4.1 Flash is designed to align with the distribution pattern in Agent tasks where input tokens far outnumber output tokens, thereby reducing overall inference costs.75% similarUnverifiedThe cost of 3.8 Flash for autonomously solving complex engineering problems end-to-end is only a fraction of that of larger models.74% similarVerifiedV4.1 Flash activates 8 billion parameters when processing input and activates 16 billion parameters when generating output.73% similarUnverifiedIn an auto-dungeon game test, V4.1 Flash completed the task in a single attempt, while other models typically required at least two attempts.73% similar
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