GPT-4.1 or Kimi K3.1 Pro: which is better?

Quality: the difference is immediate

GPT-4.1 scores 3.9, while Kimi K3.1 Pro scores 9.5. GPT-4.1 ranks 36, and Kimi K3.1 Pro ranks 3. The current leader remains Claude Opus 5.5, with a result of 9.9.

GPT-4.1 presents an interesting picture: it is noticeably stronger at coding than at reasoning. Its coding score is 8.6, compared with 5.1 for reasoning. Separate scores for these two areas have not yet been published for Kimi K3.1 Pro, so a direct coding-to-coding or reasoning-to-reasoning comparison is not possible. Still, the overall score gives a practical answer: Kimi currently performs better on complex requests.

We tested both models with real-world questions. When asked to “find the error in this Python snippet and explain why the test fails after the data structure changes,” GPT-4.1 usually keeps the code in focus and suggests a working fix. That is its strong suit. Kimi is more useful when the code comes with a long list of requirements: it can weigh the constraints, choose a compromise, and preserve the limitations throughout the response.

Speed and price in tenge

The median response speed for either model has not yet been calculated in QueryWise telemetry because there is not enough data. So claiming that one is consistently faster would be speculation. With short questions, the difference may depend on load, prompt length, and the selected mode.

The prices are close: an average question to GPT-4.1 costs about 10 ₸, while one to Kimi K3.1 Pro costs about 10 ₸. For ordinary conversations, this means one thing: savings will not be a deciding factor. If a task requires several attempts, text editing, or code review, Kimi’s stronger first answer may be better value even at a comparable price.

Both models are available from Kazakhstan on QueryWise, payments are processed in tenge, and the interface is available in Russian and Kazakh. New users get three free questions. That is enough to test a real workflow rather than abstract promises: paste in a contract, technical brief, or project error and see how the model handles it.

A million-token context does not mean identical quality

GPT-4.1 has a context of 1M, while Kimi K3.1 Pro has 1M. The capacity is the same, but fitting a large file into context and working with it well are different things. A model may accept hundreds of pages and still connect details from different sections incorrectly.

GPT-4.1 is a sensible choice when you need to review a large software project in one evening and get targeted fixes. Its coding score of 8.6 is particularly useful for refactoring, debugging, and generating tests. But complex prompts with ambiguous requirements should be broken down and double-checked: its reasoning score of 5.1 is considerably more modest.

Kimi K3.1 Pro is preferable for long-form research — for example, comparing several technical documents, identifying contradictions, and drafting an implementation plan. Here, the overall result of 9.5 matters more than the ability to complete one isolated function. Kimi also looks more convincing for study tasks when you need to explain a topic using several sources and connect the conclusions into a coherent framework. Sources still need to be verified: no model replaces a teacher, engineer, or subject-matter expert.

There is also a simpler test. Ask both models to create a service migration plan with specific constraints on budget, timeline, and backward compatibility. GPT-4.1 will probably be more useful for configuration examples and code. Kimi K3.1 Pro is better suited to keeping the full picture in view and analyzing trade-offs. Dividing the roles this way is more honest than declaring one model universally superior.

Verdict for different tasks

Kimi K3.1 Pro is ahead on the current score. If you need one assistant for complex multi-step requests, long materials, and preparing a coherent solution, choose Kimi K3.1 Pro. At about 10 ₸ per average question, it looks stronger than GPT-4.1.

GPT-4.1 remains a good choice for coding. Its 8.6 score in this area is a clear advantage, while its price of about 10 ₸ is not higher in practical terms. For fixing a function, writing a test, or explaining an error, OpenAI may provide a more convenient and direct answer.

On QueryWise, you can send the same question to both models and see where they agree and where they differ. This is especially useful for code and documents where mistakes are costly. Medical, legal, and financial decisions should not be made based on a model’s answer without review by a qualified professional.