Unverified50% confidenceBenchmarkExact time
Artificial Analysis found that the September version of Flash used 1.62 times as many output tokens on its index as Pro 0813.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/19/2026
First Seen
Valid until: 11/2/2026
Sources
Related Entities
Related Claims
UnverifiedWhen Artificial Analysis ran its intelligence index at the maximum effort level, the September version generated about 250 million output tokens versus a median of 130 million, 62% more than DeepSeek V4 Pro 0813.66% similarUnverifiedIt is widely speculated in the industry that Flash's parameter scale is approximately one-third to one-half that of Pro.64% similarUnverifiedThe concurrent requests per second for flash-series lightweight models may far exceed those of flagship models, and when a rate mismatch applies flagship model pricing, the difference may be 5 to 10 times.64% similarVerifiedThe per-token inference cost of Flash models is typically one order of magnitude lower than that of Pro-level models.62% similarUnverifiedQwen3.8 Flash Next has a sparsity rate of approximately 95%, using less than 5% of its parameters per inference.60% similar
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