Verified65% confidenceTradeoffExact time
Compared to the old Flash model, V4.1 Flash has more comprehensive capabilities and more accurate recognition, but takes longer and costs more per session.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
VerifiedThe Flash version is positioned as a lighter, faster inference option suited for latency-sensitive or resource-constrained scenarios, while the PRO version targets a higher capability ceiling with greater demands on VRAM and compute79% similarUnverifiedThe 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.78% similarUnverifiedThe Flash series achieves lightweight deployment through model distillation, structured pruning, and quantization, with inference speeds several times faster than flagship models and costs of only one-tenth.78% similarUnverifiedThe workflow recommended in the article is to use the low-cost V4.1 Flash for a large volume of basic or complex tasks, then switch to models such as GPT or Fable for more refined work.76% similarUnverifiedIn the 3D monument programming test, DeepSeek V4.1 Flash produced the best overall result, with functional encapsulation and performance optimization, but took approximately one hour to complete.75% similar
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