DeepSeek V4.1 Flash Third-Party Test: Not the Top Domestic Model, But Costs One-Seventh of Kimi and GLM

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A third-party test on September 11 showed DeepSeek V4.1 Flash scored 40 on the Intelligence Index, outperforming its own V4 Pro 0813 (36) but trailing Kimi K3 (44) and GLM-5.3 (45). The model’s average cost per task was $0.27, compared to $2 for Kimi K3 and GLM-5.3. On the Fear and Greed Index, cost efficiency remains a key factor. It also achieved 197 tokens per second, faster than the 36 and 58 tokens per second of the others. On AutomationBench-AA, it scored 69%, matching GPT-6 Astra and surpassing GLM-5.3’s 62%. However, its average output length of 89,000 tokens per task was 62% higher than V4 Pro, slightly reducing its cost advantage. Top altcoins continue to draw attention for performance and value.

ChainThink reports that, according to testing by Artificial Analysis on September 11, DeepSeek V4.1 Flash achieved a comprehensive intelligence score of 40, surpassing its own V4 Pro 0813 score of 36, but still below Kimi K3’s 44 and GLM-5.3’s 45.

According to this third-party ranking, DeepSeek has not yet reclaimed the top spot among domestic models. There is a clear gap in cost and speed.

V4.1 Flash has an average cost of $0.27 per Intelligence Index task, while Kimi K3 and GLM-5.3 both cost around $2, a difference of approximately 7 times.

The output speed is 197 tokens/s, significantly higher than the approximate 36 tokens/s and 58 tokens/s of the two. Agent performance remains a strength.

On AutomationBench-AA, V4.1 Flash achieved 69%, tying with GPT-6 Astra and surpassing GLM-5.3's 62%; on the long-context test AA-LCR, it scored 84%.

However, its output length is relatively high, with AA testing showing an average output of approximately 89,000 tokens per task—62% higher than V4 Pro—partially offsetting its price advantage.

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