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Claude Haiku 4.5 or Kimi K3 — which is better in QueryWise?

Claude Haiku 4.5 and Kimi K3 handle similar tasks, but they target different levels of demand. Kimi K3 is ahead by the current QueryWise score, and the gap shows up both in individual tests and everyday work.

Claude Haiku 4.5

Anthropic

5.2 / 10

Answer speed: — · Price per question: ≈10 ₸ · Context: 200K

Overview →
Kimi K3

Moonshot

9.4 / 10

Answer speed: 29 s · Price per question: ≈13 ₸ · Context: 1M

Overview →
Claude Haiku 4.5 Kimi K3
Overall score
5.2
9.4
Coding
8.0
9.7
Reasoning
5.4
9.2
Price per question lower is better
≈10 ₸
≈13 ₸
Answer speed lower is better
29 s

Scores 0–10 on the QueryWise scale: a composite per-dimension estimate factoring in our speed and reliability measurements.

Better yet — do not choose

In QueryWise Claude Haiku 4.5 and Kimi K3 answer together — you instantly see where they agree and where they differ.

We added it on release day and immediately tested it on code, long documents, and everyday questions in Russian. Anthropic’s Claude Haiku 4.5 comes across as a precise, fast assistant for focused requests. Moonshot’s Kimi K3 is a heavier model with more context to work with and a noticeably stronger QueryWise score.

Quality: Kimi K3 has the edge

In the current QueryWise ranking, Claude Haiku 4.5 scores 5.2 out of 10 and holds position 23. Kimi K3 scores 9.4 out of 10 and ranks 3. That puts Kimi K3 ahead overall: the gap is too large to call the models evenly matched.

The task breakdown adds useful detail. In coding, Claude Haiku 4.5 scores 8.0, while Kimi K3 scores 9.7. Both models can write a function, spot an obvious bug, or explain someone else’s code, but Kimi K3 is more confident with a large project and complex dependencies across files.

The pattern is similar in reasoning: 5.4 versus 9.2 in Kimi K3’s favor. In practice, this shows up in questions with multiple conditions, comparing options, and checking conclusions. Haiku often gives a useful answer on the first try, but Kimi more consistently carries a chain of reasoning through to the result without follow-up questions.

Speed and price in tenge

According to QueryWise telemetry, Claude Haiku 4.5 does not yet have a median speed figure: there is not enough data, so assigning it a specific number would be misleading. For Kimi K3, the median response takes 29 seconds, and its reliability in our telemetry is 100%.

An average question to Claude Haiku 4.5 costs about 10 ₸, while one to Kimi K3 costs around 13 ₸. The difference is small for a single request, but it becomes visible in the bill after hundreds of queries. Haiku is the more sensible choice for short drafts, paraphrasing, and simple explanations. Kimi K3 justifies the extra cost when a coding mistake or missed requirement would cost more than a few tenge.

Both models are available from Kazakhstan in QueryWise: payments are made in tenge, and the interface can be switched to Russian or Kazakh. You get three free questions at the start, so you can compare the answers on your own example rather than relying on marketing copy.

Context and task types

Claude Haiku 4.5 works with a context of 200K, while Kimi K3 supports 1M. Kimi’s larger context is useful when you need to load extensive technical documentation, several textbook chapters, or a large set of requirements. The model does a better job of preserving links between the beginning and end of the material.

Haiku is more convenient for compact workflows. For example, ask it to explain an error in a small Python script, shorten a business email, or translate an instruction into clear English. These requests do not need a huge memory window, and a short answer is easier to verify.

Kimi K3 is stronger for tasks such as auditing a large repository, preparing notes from a long PDF, or designing an API with several connected entities. I would also choose it when preparing for an exam on a topic that requires comparing dozens of facts and checking contradictions separately.

There is also a practical test: give both models the same difficult request in Russian, then ask them to correct their own mistake. Kimi K3 usually handles the second pass better. Haiku answers more compactly and can sometimes have a nicer style, but its output more often needs manual checking.

Bottom line by scenario

Kimi K3 leads by the current score, with the QueryWise ranking leader Claude Fable 5 at 9.8. For programming and difficult reasoning, my pick is Kimi K3: its 9.7 in coding and 9.2 in reasoning make for the more convincing result.

Claude Haiku 4.5 is the better choice for inexpensive short requests, quick editorial edits, and straightforward code explanations. But if you need one primary assistant for long materials, serious development, or multi-step tasks, Kimi K3 wins. In QueryWise, you can run both models side by side and see where they agree—and where one of them is clearly wrong.

These are assistants, not medical, legal, or financial advisers. For decisions in those areas, verify their answers with specialist sources and a qualified professional.

FAQ

Which is better for programming: Claude Haiku 4.5 or Kimi K3?
Based on current QueryWise tests, Kimi K3: its coding score is 9.7, compared with 8.0 for Claude Haiku 4.5. Haiku is also fine for a small script, but Kimi is the safer choice for a large project.
Which model is better for studying?
Kimi K3 is preferable for long study materials, complex comparisons, and questions with multiple conditions. Claude Haiku 4.5 is convenient for short explanations, summaries, and checking simple answers.
Which model is cheaper in QueryWise?
Claude Haiku 4.5 is cheaper: an average question costs about 10 ₸. The average price for Kimi K3 is around 13 ₸. The exact cost may change with QueryWise’s live pricing.
Can I try Claude Haiku 4.5 and Kimi K3 for free?
Yes. Both models are available from Kazakhstan in QueryWise, accept payment in tenge, and come with three free questions at the start. The interface is available in Russian and Kazakh.
Is Kimi K3 better than ChatGPT?
There is no single answer for every task. In the QueryWise comparison, Kimi K3 currently scores 9.4 out of 10, but ChatGPT’s result depends on the specific version and prompt. For long-form code and complex reasoning, Kimi K3 looks like a strong choice.
Which model is more reliable?
Based on available QueryWise telemetry, Kimi K3 has 100% reliability. There is not yet enough data for Claude Haiku 4.5, so the metric cannot be compared directly.

Better yet — do not choose

In QueryWise Claude Haiku 4.5 and Kimi K3 answer together — you instantly see where they agree and where they differ.

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