[KongchangAI]
Model4.1 Flash

DeepSeek 4.1 Flash

A lightweight large language model released by DeepSeek. It employs a CSA2 architecture to achieve highly compressed KV caching, supports native visual understanding, and is characterized by high-speed inference and low-cost deployment.

Core Facts

Timeline (last 90 days)

Oct 20

DeepSeek 4.1 Flash and Gemini 4 Argon are two large models released in the same period.

Unverified60%
Oct 20

Of the six tasks, DeepSeek 4.1 Flash and Gemini 4 Argon each won three; DeepSeek was superior in Subway Surfers, 3D world generation and complex scene building, while Gemini performed better in the boss battle, text animation pacing and storyboard narrative animation.

Unverified50%
Oct 20

In the fifth task, a 15-second 3D text animation, the creator said he preferred the modeling texture of DeepSeek 4.1 Flash, while Gemini 4 Argon performed better on musical rhythm and animation pacing.

Unverified50%
Oct 20

In the fourth task, complex scenes and NPC behavior planning, the DeepSeek 4.1 Flash version was rich in detail: cars waiting at red lights, sidewalks following traffic-light logic, NPCs that can be clicked to follow the view and each with different names, and relatively high modeling quality, with only the streetlights slightly tilted.

Unverified50%
Oct 20

In the third task, generating an explorable 3D world from a photo, DeepSeek 4.1 Flash had high fidelity, with excellent maple leaf paper-cutout modeling and falling-leaf texture, but building interiors were empty shells.

Unverified50%
Oct 20

In the second task, a 3D boss battle game, the DeepSeek 4.1 Flash version had a minor bug where the character automatically rolled back after rolling, the boss modeling resembled the style of "Guobao Te Gong", and the second-phase skills triggered normally.

Unverified50%
Oct 20

In the first task, a 3D Subway Surfers clone, the version generated by DeepSeek 4.1 Flash ran smoothly, with jumping, left-right movement, sliding and other operations free of bugs, and building modeling detail on par with the previous generation V4 Pro.

Unverified50%
Oct 20

Bilibili creator "Genius Frog" released the second episode of the "Who Is the Strongest Large Model Series" hands-on test video, comparing DeepSeek 4.1 Flash and Gemini 4 Argon on six tasks across three directions: 3D game development, 3D scene generation and video generation.

Unverified50%
Oct 18

In the chess game comparison, the version generated by Opus 5.5 was clearly superior to Gemini 4 Argon's version in animation smoothness, scene lighting, and sound effect coordination, and could automatically generate cinematic replays of the match's highlight moments.

Unverified50%
Oct 17

Among the 38 free models, only 4 are suitable for writing code: GLM5.3, DeepSeek 4.1 Flash, Nemotron 3 Ultra, and Poolside Laguna XS 2.1.

Unverified50%

11 more timeline events

All Facts (15)

Verified

DeepSeek has released an experimental multimodal model, DeepSeek V4 Flash Vision EXP, which performs excellently in both text and multimodal tasks.

90%
Unverified

DeepSeek 4.1 Flash and Gemini 4 Argon are two large models released in the same period.

60%
Unverified

In the third task, generating an explorable 3D world from a photo, DeepSeek 4.1 Flash had high fidelity, with excellent maple leaf paper-cutout modeling and falling-leaf texture, but building interiors were empty shells.

50%
Unverified

In the fourth task, complex scenes and NPC behavior planning, the DeepSeek 4.1 Flash version was rich in detail: cars waiting at red lights, sidewalks following traffic-light logic, NPCs that can be clicked to follow the view and each with different names, and relatively high modeling quality, with only the streetlights slightly tilted.

50%
Unverified

Of the six tasks, DeepSeek 4.1 Flash and Gemini 4 Argon each won three; DeepSeek was superior in Subway Surfers, 3D world generation and complex scene building, while Gemini performed better in the boss battle, text animation pacing and storyboard narrative animation.

50%
Unverified

In the fifth task, a 15-second 3D text animation, the creator said he preferred the modeling texture of DeepSeek 4.1 Flash, while Gemini 4 Argon performed better on musical rhythm and animation pacing.

50%
Unverified

In the first task, a 3D Subway Surfers clone, the version generated by DeepSeek 4.1 Flash ran smoothly, with jumping, left-right movement, sliding and other operations free of bugs, and building modeling detail on par with the previous generation V4 Pro.

50%
Unverified

In the second task, a 3D boss battle game, the DeepSeek 4.1 Flash version had a minor bug where the character automatically rolled back after rolling, the boss modeling resembled the style of "Guobao Te Gong", and the second-phase skills triggered normally.

50%
Unverified

In the chess game comparison, the version generated by Opus 5.5 was clearly superior to Gemini 4 Argon's version in animation smoothness, scene lighting, and sound effect coordination, and could automatically generate cinematic replays of the match's highlight moments.

50%
Unverified

Among the 38 free models, only 4 are suitable for writing code: GLM5.3, DeepSeek 4.1 Flash, Nemotron 3 Ultra, and Poolside Laguna XS 2.1.

50%
Unverified

DeepSeek officially stated that 4.1 Flash adopts a new architectural design, making inference faster and more efficient.

50%
Unverified

DeepSeek 4.1 Flash consumes a large number of tokens, and the cost advantage brought by its small KV cache is partially offset by the high token consumption.

50%
Unverified

DeepSeek 4.1 Flash adopts an encoder-decoder architecture, where the encoder creates a shared global memory and the decoder reads information from it.

50%
Unverified

Bilibili creator "Genius Frog" released the second episode of the "Who Is the Strongest Large Model Series" hands-on test video, comparing DeepSeek 4.1 Flash and Gemini 4 Argon on six tasks across three directions: 3D game development, 3D scene generation and video generation.

50%
Unverified

The OpenCode platform doubled the quota for GLM 5.3 Flash, integrated DeepSeek 4.1 Flash, and then offered 4× usage for the following 72 hours.

50%

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