Neural networks for creating horror games: a practical comparison of GPT Tera and High Cooper

This article examines GPT Tera and High Cooper as tools for creating a playable horror prototype. This prototype includes rooms, weapons, item searches, enemies, and atmospheric events. The comparison is based on the author's personal practical test, not on a controlled benchmark with the same work duration and fully matching conditions.

The preliminary conclusion is as follows: in the author's impression, High Cooper created a more tense and atmospheric game. GPT Tera assembled a functional foundation faster, but left noticeable errors in combat logic and zombie behavior.

What was tested in the game prototype

The third task described a zombie game in 2,5D format. The player was supposed to move through rooms, use weapons, search for keys and other items, and explore the premises. The test covered not only the presence of individual features, but also whether they came together into a coherent gameplay experience.

Four groups of mechanics became important elements:

• Exploration. The player moved between rooms and found a note, a key, and a fuse. The rooms were identifiable as a bathroom, bedroom, and kitchen.
• Combat system. The weapon allowed the player to shoot zombies, while reloading was supposed to support uninterrupted progression.
• Enemy behavior. Zombies were supposed to notice the player, approach them, and create a threat rather than simply exist as part of the scenery.
• Horror atmosphere. Perception was influenced by lighting, sounds, confined spaces, events, and visual details of the rooms.

This setup clearly demonstrates the difference between a technically functional prototype and a game that makes players want to continue. The presence of a key, a weapon, and several rooms does not guarantee tension: tension is created by the connection between exploration, risk, and the consequences of the player's actions.

GPT Tera's result: a functional foundation with critical failures

GPT Tera created a game that the author was able to complete. Shooting and room exploration worked, and the items found supported a simple sequence of actions. The result shows that the model can quickly assemble a prototype with a basic room structure, interactive objects, and enemies.

The problem appeared in the zombies' behavior. They moved toward the player very slowly, so they were easy to escape from. Some enemies got stuck, while others took a long time to notice the character. The author notes that zombies often could not inflict significant harm, which meant that the game created almost no pressure.

What happens to horror when an enemy does not force the player to make decisions? The player stops fearing the space and begins calmly checking rooms. That is exactly what happened in the GPT Tera test: the mechanics were present, but the enemies did not create a tangible risk, and the author found the playthrough not especially interesting.

Reload failures and a frozen screen

A frozen screen appeared during the playthrough. After reloading, the game stopped responding, and an attempted restart did not work. Later, reloading stopped working even when ammunition was available. For a shooter, this is a significant error, since the combat loop depends on the ability to replenish ammunition.

Such a failure is more dangerous than an isolated visual inaccuracy. An incorrect zombie model harms the impression, but does not always stop the game. A broken reload function deprives the player of a core action and can halt the playthrough at any moment, especially if enemies do appear nearby.

High Cooper's result: atmosphere and a faster threat

In the author's assessment, High Cooper created a sense of danger more quickly. Zombies emerged from rooms and attacked the player immediately, turning room exploration into a risky action. The player had to do more than simply search for items: they had to constantly account for the possibility of a sudden encounter.

The atmosphere was strengthened by unsettling sounds, flickering lights, and confined spaces. In one event, a storm cut off the power, after which the elevator stopped working. This scene connects the environment with the gameplay task: the power outage changes the conditions of progression and restricts the usual route rather than remaining a decorative effect.

High Cooper's combat mechanic was built around headshots. When hits landed, the zombie's facial animation changed. The author also noted that the models reacted to the player's actions, and that rooms such as the pantry and kitchen looked good. These details do not prove the model's universal superiority, but in this specific test they strengthened the sense of a coherent horror experience.

The zombie models were not rendered perfectly. The author explicitly notes this shortcoming, but still considers the High Cooper game more atmospheric. This is an important observation for horror: convincing lighting, sound, confined space, and enemy reactions can sometimes have a stronger effect on tension than maximum character detail.

Comparing Tera and High Cooper by key criteria

Speed and limit usage

In the personal test, GPT Tera worked for about 7 minutes and used 8% of the available limit. The author considers Tera fast but costly in terms of limits. High Cooper worked for 1 hour 5 minutes and used 12% of the five-hour subscription limit costing 20 dollars.

These figures cannot be turned into a universal comparison of efficiency. Usage is affected by dialogue length, the number of iterations, reasoning mode, project scope, and fixes after the initial result. In addition, Tera and High Cooper worked for different lengths of time, and the third task was not tested under fully symmetrical conditions.

A fast launch also does not mean a low total cost. If a prototype requires numerous rounds of corrections, the initial time savings quickly disappear. In the case of GPT Tera, the author obtained a fast result but then encountered reload errors, a weak threat from enemies, and the need to assess how interesting the playthrough remained.

Why a fast prototype does not always become a game

Horror relies on managing the player's expectations. A room should promise a discovery or danger, a sound should warn of an event, and an enemy should react in a way that makes the player change their route or pace. If zombies slowly walk in a straight line and cannot catch the character, the weapon becomes a formality and exploration loses its value.

GPT Tera implemented individual elements of the task, but during the test playthrough they were connected to one another less effectively. The player could find items and move between rooms, but the enemies did not force them to take risks. In the author's impression, High Cooper connected the sound, light, confined space, environmental events, and zombie attacks more effectively.

This is the author's opinion, not an official characterization of the models. A full comparison would require the same prompt, the same execution environment, equal time for fixes, a unified set of tests, and an independent assessment of code quality, stability, and gameplay experience.

Game testing checklist before publication

1. Start a new session. Check whether the game works after being fully closed and restarted.
2. Complete the main route. Find all required items, including keys, notes, and energy-recovery items.
3. Check the combat loop. Fire a shot, use up ammunition, reload, and repeat the action with different ammunition levels.
4. Check collisions. Make sure zombies do not pass through walls, each other, or interactive objects without an intended reason.
5. Check enemy navigation. The enemy should notice the player, move toward them, avoid obstacles, and recover from getting stuck.
6. Assess the actual threat. Check whether a zombie can inflict damage and force the player to change position.
7. Check environmental events. Power outages, flickering lights, the elevator stopping, and sound signals should change the playthrough or the player's expectations.
8. Repeat the playthrough. A failure that did not appear during the first launch may occur after reloading, moving between rooms, or restarting.
9. Record errors. For each failure, record the player's action, the game state, and whether it can be reproduced.

How to interpret the comparison's outcome

Based on the author's practical impression, High Cooper was better suited to a prototype whose main criteria were atmosphere, danger, and enemy reactions. GPT Tera was useful for quickly creating a basic structure with rooms, items, and shooting, but its result would require serious improvements to zombie behavior and combat logic.

The conclusion that High Cooper is superior cannot be considered a strict controlled benchmark. The participants worked for different lengths of time, and the conditions of the third task were not fully symmetrical. There is no full comparison of High Cooper with Haiku in the excerpt provided, so the observations cannot be generalized to other models or tasks.

For an indie developer, the practical choice depends on the goal. If a quick framework is needed, Tera can provide a starting version in a short time. If the priorities are an unsettling atmosphere, environmental events, and more aggressive enemy behavior, the author preferred High Cooper in the test conducted. In both cases, publication requires manual testing, since a functioning screen and several mechanics do not yet confirm the game's stability.

Frequently asked questions

Which model is better at creating horror games?

In the assessment of the author of this test, High Cooper created a more atmospheric prototype with a noticeable threat from zombies. This is a practical impression, not a universal model ranking.

What did GPT Tera do well?

GPT Tera quickly assembled a game with rooms, shooting, exploration, and item searches. The author was able to complete the prototype and identify the purpose of several rooms.

Which GPT Tera problems proved critical?

A frozen screen appeared during the playthrough, the restart did not work, and later reloading stopped working even when ammunition was available. The zombies were also too slow and often failed to create a threat.

Why was High Cooper perceived as a scarier game?

The author attributes this to the combination of unsettling sounds, flickering lights, cramped rooms, a power outage, the elevator stopping, and zombie attacks in which the zombies emerged from rooms and immediately engaged the player.

Can this be considered proof of High Cooper's superiority?

No. The test was not fully symmetrical, and the work duration and conditions differed. The result shows the author's practical impression from a specific scenario, not a reproducible official benchmark.