We explore the differences in processing speed and intelligence between fast-reacting Jev and high-performance models like GPT-5.6 and Claude as demonstrated through the game of Pong.
Imagine you are at an arcade playing ‘Pong’ (a classic game similar to table tennis). The ball is flying toward you rapidly, but your friend playing next to you takes 3 seconds to move their paddle because they are deliberating. Would you be able to win this game?
Recent advancements in AI technology are dazzling. However, the ‘smart AIs’ (conversational models) we often use can sometimes be slow to react because they are pondering carefully. A recent case study comparing how various AI models perform in this simple game of Pong has become a hot topic. Shall we take a look at why ‘reaction speed’ is just as important as ‘intelligence’ for AI?
Why Is This Important?
When using AI in our daily lives, we usually prioritize the ‘accuracy of the answer.’ However, the story changes in moments where ‘split-second decisions’ are critical, such as with self-driving cars, real-time gaming, or responding to urgent security threats.
Current AI models process vast amounts of data to achieve complex reasoning capabilities. This is why we often experience wait times ranging from a few seconds when we ask a chatbot a question. If an AI in a real-time service were to deliberate for 3 seconds, the user experience would inevitably plummet. This comparison serves as an interesting metric showing ‘how quickly’ the AIs we use can think and react.
Simplifying It: ‘Deep Thinkers’ vs. ‘Intuitive’ AI
To put it simply, general conversational AI (like GPT-5.6 or Claude) is like a ‘professor finding answers in a library.’ When asked a question, they run to the library (data), review numerous documents, and then provide the best answer. Consequently, while the answers are accurate, it takes time.
On the other hand, models like Jev are structured to move intuitively and rapidly, much like an ‘athlete with excellent reflexes.’ According to the JevPong test results, Jev took only 227 milliseconds (ms) to make a decision. In contrast, the conversational models we frequently use took between 2.5 and 3.5 seconds to make the same judgment. The difference between 0.2 seconds and 3 seconds is a decisive gap that determines victory or defeat in a game of Pong. Source: JevPong
Current Status: Intense Competition Among AI Models
In the second half of 2026, the AI market is amidst a giant lineup war.
| OpenAI has divided its models into three levels based on performance. The GPT-5.6 series consists of the fastest and most affordable ‘Luna,’ the mid-range ‘Terra,’ and the top-performing ‘Sol.’ Notably, starting in August 2026, the GPT-5.6 Luna model has been provided by default even to free users. [Source: Claude vs ChatGPT (2026): An Honest, Up-to-Date Comparison | The AI Career Lab](https://theaicareerlab.com/blog/claude-vs-chatgpt) |
| Anthropic has also reorganized its Claude lineup. ‘Fable 5.1,’ released on September 1, 2026, has taken the top flagship position, with Opus 5, Sonnet 5, and the fast and economical Haiku 4.5 positioned below it. [Source: Claude vs ChatGPT (2026): An Honest, Up-to-Date Comparison | The AI Career Lab](https://theaicareerlab.com/blog/claude-vs-chatgpt) |
The reason for the release of such diverse models is that the ‘intelligence’ and ‘cost’ required differ depending on the user’s situation. Complex research is handled by Sol or Fable, while simple tasks requiring quick responses are delegated to Luna or Haiku, effectively dividing the workload. Source: Claude Haiku 4.5 vs GPT-5.6 Sol — Which AI Model Is Better …
What Lies Ahead?
In the future, we will move beyond simply asking, “Which AI is smarter?” to an era where we evaluate “Which model has the speed and performance suitable for this situation?” Developers are now considering hybrid approaches that mix the high performance of large models with the fast speeds of smaller ones. Source: Claude Haiku 4.5 vs GPT-5.6 Sol: Benchmarks & Cost
The AI services we experience will also gradually become smarter while changing to react more immediately to user inputs. Perhaps one day, a time will come when even humans will find it difficult to beat an AI at a game of Pong.
MindTickleBytes AI Reporter’s Perspective
The advancement of AI is seeking to secure not only ‘depth of thought’ but also ‘agility of reaction.’ Perhaps what we need now is not just finding which model is the best, but developing ‘AI intelligence management skills’ to select and use the optimal model for everything from small daily problems to complex tasks.
References
- JevPong
- Протестировал ВСЕ версииGPT-5.6! LunavsTerravsSol - YouTube
- Claude 5 vs ChatGPT 5.6 - by Charlie Hills - MarTech AI
-
[Claude vs ChatGPT (2026): An Honest, Up-to-Date Comparison The AI Career Lab](https://theaicareerlab.com/blog/claude-vs-chatgpt) - Claude vs ChatGPT: I Tested Both for a Month (2026)
- Claude Haiku 4.5 vs GPT-5.6 Sol — Which AI Model Is Better …
- Claude Haiku 4.5 vs GPT-5.6 Sol: Benchmarks & Cost
- GPT-5.6 Sol
- Claude Haiku 4.5
- Jev
- Luna
- Terra
- Sol
- Fable 5.1
- Opus 4.8
- Haiku 4.5