[KongchangAI]
ModelDeepSeek Pro

DeepSeek Pro

A flagship large language model from DeepSeek, featuring strong planning and reasoning capabilities. It is suited for planning and review stages within multi-agent workflows.

Timeline (last 90 days)

Oct 21

In the honesty test, the number of confident wrong answers was: Opus one, Sonnet four, DeepSeek Flash eighteen, and DeepSeek Pro twenty-six.

Unverified50%
Oct 21

In the closed-book test, all four models scored 0 on news questions from the most recent month.

Unverified50%
Oct 20

A reasonable strategy is to use DeepSeek V4.1 Flash for rapid prototyping and lightweight 3D scenes, leave long-horizon complex projects to more mature closed-source models, and keep an eye on the Pro version.

Unverified50%
Oct 15

On ten objectively scorable programming problems, DeepSeek Flash was correct 10/10 and DeepSeek Pro was correct 8/10; median response time was 0.83 seconds for Flash and 1.29 seconds for Pro.

Expired50%
Sep 25

DeepSeek Pro ranked fourth and is one of the engineer's daily workhorses for agentic workflows, commonly used in the planning and review phases.

Unverified50%
Sep 25

GLM 5.3 ranked third, and the engineer alternates between DeepSeek Pro and GLM 5.3 for the planner and reviewer roles.

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Sep 23

In the elemental sandbox test, MiMo-V2.6 Pro scored 8 points thanks to its visual expressiveness and complete translation, while DeepSeek Pro scored only 6 points due to untranslated menus.

Expired50%
Sep 21

DeepSeek's Pro model has an activation ratio of approximately 3% (49B activated / 1.6T total parameters), which is a typical characteristic of MoE architecture.

Unverified50%
Sep 21

DeepSeek Pro's 1.6T total parameters with 49B activated parameters result in inference costs comparable to a roughly 49B dense model, while expanding knowledge capacity by approximately 32 times.

Unverified50%
Sep 11

V4.1 Flash off-peak pricing (per million tokens): cache hit 0.02 yuan, cache miss 1 yuan, output 4 yuan.

Expired60%

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