Unverified50% confidenceFactExact time
September's V4.1 Flash consumed nearly twice as many tokens as open-source models of the same scale when running the same benchmark.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
DeepSeek V4.1 Flash 1017 Hands-On: Token Efficiency Fixes Its Biggest Weakness
youtubePrompt Engineering10/19/2026
Related Entities
Related Claims
UnverifiedFlash 1017 achieves a 2.3x speedup through speculative decoding.75% similarVerifiedCompared to the old Flash model, V4.1 Flash has more comprehensive capabilities and more accurate recognition, but takes longer and costs more per session.75% 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.73% similarUnverifiedv4.1 Flash's expert weights are shipped natively in FP4 (4 bits per parameter) and no 8-bit version has ever been released; being close to the compression limit of this format, it cannot be further quantized for Agentic tasks.68% similar
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