@YRSM_Simon: Don't be fooled by the name "Max". I tested the same task 100 times. deepseek v4 flash max is 26% faster than medium, saves 34% tokens, and scores 83% higher on quality. Although max thinks more, it also requires fewer rounds. (Every task is different...

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The author tested the same task 100 times and found that DeepSeek V4 Flash Max is 26% faster than the Medium version, saves 34% tokens, and scores 83% higher on quality. Although Max thinks more, it requires fewer rounds.

Don't be fooled by the name "Max". I tested the same task 100 times. deepseek v4 flash max is 26% faster than medium, saves 34% tokens, and scores 83% higher on quality. Although max thinks more, it also requires fewer rounds. (Every task is different, so you need to test the specific configuration yourself) https://t.co/ALj5llIOf6
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Cached at: 08/14/26, 09:36 AM

Don’t be fooled by the name “Max”.

I tested the same task 100 times.

deepseek v4 flash max is 26% faster than medium, uses 34% fewer tokens, and scores 83% higher on quality.

Although max thinks more, it also needs fewer rounds.

(Every task is different; you’ll need to test the specific configuration yourself) https://t.co/ALj5llIOf6

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@YRSM_Simon: Amazing!

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shi3z shares optimization experience for running DeepSeek v4.1 Flash on an A100 GPU without FP4 support, boosting inference speed from 33 tok/s to 673 tok/s, surpassing the official API speed.

@FuckAnthropic: Conducted a comparative analysis. Overall, DeepSeek V4 Flash-0731 is roughly a model at the level between Opus 4.7 and 4.8, entering the frontier Agent model competition with a minimal activation scale, and at about 1/12 to 1/60 of the token cost to enter the frontier Ag…

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The author's comparative analysis concludes that DeepSeek V4 Flash-0731 achieves Opus 4.7–4.8 level performance with an extremely small activation scale, entering the frontier agent model tier at a very low token cost. It surpasses GLM-5.2 overall, but its shortfalls remain difficult repository-level coding and long-horizon engineering.