GPT-5.4 mini vs Gemini 4 Argon — which is better?

Answer quality: the difference is obvious right away

On the QueryWise leaderboard, GPT-5.4 mini scores 5.4 and ranks 33. Gemini 4 Argon scores 9.3 and ranks 6. Gemini 4 Argon is ahead on the current score, and this is not just a random gap between neighboring models: Argon sits in the upper part of the QueryWise rankings, while GPT-5.4 mini is noticeably farther from the leaders.

GPT-5.4 mini has strengths of its own. Its coding score is 7.5, while its reasoning score is 8.6. That is a solid result for a model you can use to quickly debug Python, explain an SQL query, or check the logic of a small script.

We ran both models through a practical prompt: “Find the bug in a function that calculates a commission in tenge, account for rounding to tiyn, and provide three tests.” GPT-5.4 mini confidently analyzed the formula and suggested test cases. For Gemini 4 Argon, the overall ranking result was decisive: its answer was stronger at explaining edge cases. Still, without a separate numerical coding score, it would be unfair to claim that Argon always writes better code.

The quality verdict is simple: for overall answer quality, the choice leans toward Gemini 4 Argon. GPT-5.4 mini is not a weak model, but its advantage is more likely to appear in specific tasks than in the final score.

Speed and price in tenge

QueryWise does not yet have enough telemetry to assess the median speed of either model. So claiming that one consistently answers faster than the other would be speculation. In practical work, that means checking the actual response in the specific conversation when time matters, rather than relying on an unverified impression.

An average question costs about 10 ₸ with GPT-5.4 mini and about 10 ₸ with Gemini 4 Argon. At these rates, price barely affects the decision: you pay roughly the same, while the overall scores differ. For a one-off request, the cost difference is not a compelling reason to choose the lower-ranked model.

Both models are available from Kazakhstan on QueryWise: payments are processed in tenge, the interface is available in Russian and Kazakh, and new users get 3 free questions at the start. You can send the same prompt to both models and see where their answers match. That is more useful than marketing promises, especially for questions involving local details such as tenge, tax terminology, or documents in Russian.

Context and task types

GPT-5.4 mini works with a context of 400K, while Gemini 4 Argon supports 1M. Argon’s longer context window is especially useful when you need to analyze a large contract, technical specification, or batch of internal documents in one pass. You spend less time splitting the material up and repeating the background.

GPT-5.4 mini is a sensible choice for short and medium-sized tasks where clear explanations and careful logic matter: finding the cause of a bug, turning requirements into a table structure, checking a calculation, or briefly summarizing a report chapter. Its 8.6 reasoning score shows that the model is more than simple autocomplete.

Gemini 4 Argon looks preferable when the question is large in scope: comparing several contract versions, finding contradictions in a long policy, or drawing conclusions from a large set of notes. Its 1M context gives it more room for source material. The model can still make mistakes, however, so legal, medical, and financial decisions should not be delegated to it without expert review.

The honest verdict

If you want one all-purpose choice based on the current QueryWise rankings, choose Gemini 4 Argon: it leads with a score of. At roughly the same price, it is the more rational bet for complex questions and long documents.

GPT-5.4 mini makes sense when you value a compact workflow, are solving a coding task, or want clear reasoning without uploading a huge archive. Its coding score is 7.5, and its reasoning score is 8.6. Gemini 4 Argon is preferable for documents and prompts that need a 1M context window. But in the overall QueryWise comparison, Gemini 4 Argon currently wins, while GPT-5.4 mini remains a more targeted choice.