This article examines DeepSeek V4.1 Flash 1017 as a model for generating 3D scenes and interactive prototypes through OpenCode. The author compared three reasoning levels—Low, High, and Max—on two tasks: creating an 3D dragon and a diorama of the Great Wall of China. They evaluated visual quality, detail, animation, stability, runtime, and the costs shown in the interface.
The results relate to one practical test by the author, not to a universal ranking of the modes. The outcome is affected by the wording of the prompt, project structure, generation randomness, the state of the environment, and the specific task.
How the DeepSeek V4.1 Flash mode comparison was conducted
The author ran DeepSeek V4.1 Flash in OpenCode through the original DeepSeek API. In the interface, they tracked runtime, token usage, and the displayed cost of each run, then inspected the completed scene and checked its behavior.
This approach makes it possible to compare not only the models' appearance but also the practical cost of deeper reasoning. For an 3D task, geometry, part connections, animation correctness, environmental integrity, and interactive elements are important. A single attractive frame does not show how well the scene works after launch.
What Low, High, and Max change
Low uses fewer computational resources for reasoning and in the test sometimes produced a faster or more successful result. High occupies an intermediate position, but its advantage did not appear in every scene. Max requires more time and money, but in the author's assessment it more often created more detailed models and environments.
These levels should not be interpreted as a strict quality scale in which each successive run is guaranteed to fix all the previous run's errors. Deeper reasoning helps the model work on the task for longer, but it does not eliminate geometry defects, incorrect connections, gaps in walls, or errors in character behavior.
3D dragon: time, cost, and result
In the 3D dragon test, Low ran for 1 hour 44 minutes, and the displayed cost was 44 cents. High was the fastest of the three options and cost 34 cents. Max ran for 1 hour 32 minutes, and its cost was 45 cents.
| Mode | Time | Cost in the test | Main observation |
|---|---|---|---|
| Low | 1 hour 44 minutes | 44 cents | The body is animated and the dragon blinks, but there are problems with the fingers and some artifacts |
| High | Shortest time among the options | 34 cents | The fingers look better, but gaps are visible where the limbs are attached |
| Max | 1 hour 32 minutes | 45 cents | The most appealing and detailed model in the author's assessment, but there is a defect in the head attachment |
What Low produced
Low created an animated dragon whose body moves and whose eyes close. The author viewed the model's overall performance positively, although they noticed crossed fingers and some isolated artifacts on the body. For a first prototype, the result looks functional: the scene is not limited to a static figure and demonstrates basic animation.
What High produced
The High version had more neatly rendered fingers, but gaps remained where the limbs were attached. The author called the result fairly successful, but did not see a major quality gap between Low and High. They attributed the difference between these options partly to personal taste: one mode looks better in certain details, while the other may feel more cohesive.
What Max produced
Max had a problem with the head attachment, but the author found no noticeable defects in the limbs or animation. Visually, this version seemed the most beautiful and detailed to them. For a task in which the scene is planned to be shown to a client or used as a basis for further refinement, the author considers this result the most appealing, although the head connection will still need to be fixed.
But what should you choose if you need a working prototype rather than the most striking appearance? Based on the author's observations, Low and High are suitable for quickly comparing ideas, while Max makes sense when character detail and the quality of the initial result are important.
Diorama of the Great Wall of China
The second task tested DeepSeek V4.1 Flash on a more complex scene with many objects and effects. The author ran Low, High, and Max in sequence, evaluating the wall, towers, stairs, people, lamps, flags, trees, leaves, wind, lighting, and switching between day and night.
Such a scene places higher demands on generation than a single character. The model must create geometry, connect objects to one another, organize people's movement along the steps, set up lighting, preserve the wall's integrity, and show the change of time of day without disrupting the composition.
| Mode | Time | Cost in the test | Result assessment |
|---|---|---|---|
| Low | 50 minutes 33 seconds | 23 cents | A rich and impressive diorama, but with minor irregularities in the wall and animation errors |
| High | 49 minutes 36 seconds | About 35 cents | The wall is complete and people walk along the steps, but there are noticeably more defects in the wall itself |
| Max | 1 hour 11 minutes | 54 cents | A more expensive and longer run; individual visual differences do not eliminate the presence of errors |
Diorama in Low mode
Low created a wall with towers and stairs, and added animated people, lamps, flags, trees, flying leaves, and streams of wind. The scene supports switching between day and night. In the nighttime version, the author noted stars, mountains in the background, walking people, lit lamps, and illuminated windows.
Defects are still present: the wall structure looks uneven in places, the people have problems with their legs, and some animations do not work perfectly. The author rated the scene as very good and visually impressive because Low assembled many interconnected elements in 50 minutes 33 seconds at a cost of 23 cents.
Diorama in High mode
The High version completed the wall fully, without an open continuation, but the author noticed gaps and missing parts of the structure. The people walked correctly along the steps, supporting the idea of more careful movement logic, but the wall itself contained numerous defects.
In the author's assessment, High was less successful than Low, although it ran a little faster. This result is important for comparison: increasing the reasoning level did not guarantee a more cohesive diorama, and improving one characteristic was accompanied by deterioration in others.
Nighttime scene and decorative elements
Across the different versions, the author examined tower lighting, windows, flags, trees, and masonry quality. One version with a castle looked more polished in dark mode, but contained a character with a noticeably crooked pose. In another version, the wall masonry looked higher quality, although minor defects remained.
The author also noted that the wall's height differed between versions. In one case, the structure looked more like a low wall than part of a castle complex. A single comparison illustrates the limitation of this kind of test: the mode affects the result, but the model may interpret scale, architectural imagery, and compositional emphasis differently.
Why Max does not guarantee the absence of errors
Max increases the time and cost of reasoning, but does not turn generation into deterministic 3D modeling with automatic checking of every vertex and animation transition. The model may describe the scene structure better and add more details while still leaving an error in the head attachment, wall, or character pose.
In the dragon test, Max gave the author the most appealing result, while in the diorama the more expensive run did not make the version unambiguously better. Low was stronger in the overall assessment of the diorama, whereas High demonstrated a specific advantage in moving people along the stairs. Quality consists of several independent characteristics, so one overall assessment does not replace checking the scene piece by piece.
Stability of the DeepSeek V4.1 Flash modes
The author does not consider stability to be the same for all tasks. In one run, High looked more stable; in another, it allowed more errors. When creating the diorama, Low performed better, although Max was generally perceived as the highest-quality mode.
This observation relates to the author's experience and does not prove that Low is more stable than Max on average or that High always occupies an intermediate position. A developer should repeat the task several times, save the original prompts, and separately check the geometry, animation, lighting, and scene integrity.
How to choose a mode for an 3D task
- Low is suitable for an initial prototype, testing an idea, and scenes where launch speed and low cost are important. In the test, it performed unexpectedly well with the diorama and created many interactive elements.
- High makes sense when additional refinement of individual objects and behavior logic is needed, but the result should be checked for gaps, incomplete structures, and environmental defects.
- Max is a rational choice for a final version, presentation scene, or detailed character if the user is willing to wait longer and pay for a more expensive run. Manual refinement will still be needed after generation.
In the author's opinion, it is most often worth starting with Max if the task requires a complex scene, and then asking the model to fix specific defects. This does not make Low and High unnecessary: they are useful for quick iterations when you need to check the composition, mechanics, or idea before an expensive run.
Final comparison of Low, High, and Max
In the 3D dragon test, Max received the highest subjective rating thanks to its appearance and detail. Low and High were close in perception, but each version had its own strengths: Low demonstrated expressive animation, while High handled the fingers more neatly. In the Great Wall of China diorama, Low performed better in the overall assessment, although it contained wall irregularities and character errors.
The author's main conclusion applies specifically to the comparison that was conducted, not to every generation: Max more often provides the highest-quality foundation, but costs slightly more and does not guarantee a perfect scene. The choice of mode depends on the priority. Low is needed for quick experiments, High is suitable for intermediate checks, and Max is a reasonable choice for a detailed result followed by targeted refinement.
Frequently asked questions
Which mode created the best 3D dragon?
In the author's assessment, Max was the best. It looked the most beautiful and detailed, although it had a problem with the head attachment.
Which mode created the best diorama?
The author rated Low higher. The mode created a complete scene with architecture, people, lighting, wind, leaves, and a day-and-night cycle, despite some individual defects.
Is the most expensive mode always better?
No. In this comparison, Max was the most successful for the dragon, but Low outperformed High in the overall assessment of the diorama. Price and depth of reasoning do not guarantee the absence of geometry and animation errors.
Can the results be used as an official DeepSeek benchmark?
No. This is the author's user test in OpenCode through the DeepSeek API. Its time, cost, and visual assessments describe specific runs and do not replace an official model performance measurement methodology.
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