Claude Fable 5.1 vs GPT-6 Astra — which is better?

Which model leads on quality?

At the time of reading, Claude Fable 5.1 is ahead on the current score: its latest QueryWise rating result is Claude Fable 5.1. It ranks Claude Opus 5.5, while the two models being compared are in positions 3 and 4, respectively. QueryWise updates its rankings every hour, so the order may change.

Claude Fable 5.1 currently scores 9.3, while GPT-6 Astra scores 9.3. That is a close result, but saying “they are the same” would be too simplistic: the models specialize in different areas. Claude Fable 5.1 scores 9.9 on coding, compared with 9.5 for GPT-6 Astra. The model with the higher value leads on this measure, and it is the one I would open first for debugging a project.

There is currently no separate numerical reasoning result: QueryWise reports — for Claude Fable 5.1 and — for GPT-6 Astra on this dimension. So it would be unfair to name a winner for mathematical chains, legal caveats, or multistep plans based on the overall score alone.

Speed and price in tenge

QueryWise does not yet have enough telemetry to compare median response speed reliably. We will not invent seconds here: latency depends on prompt length, system load, and the task you choose.

On price, an average question to Claude Fable 5.1 costs about 43 ₸, while GPT-6 Astra costs about 43 ₸. That is practically the same spending level. For a short question, the difference should not decide your choice; if you regularly work with long documents, it is more useful to focus on the quality of the actual responses and context usage.

Both models are available in QueryWise from Kazakhstan. Payments are made in tenge, the interface is available in Russian or Kazakh, and new users get three free questions. That is more convenient than dealing with an international card for a single test.

Context and task types

Claude Fable 5.1 works with a context window of 1M, while GPT-6 Astra supports 1.1M. A larger window helps when you need to fit a large contract, repository, or several research chapters into one prompt. But memory size does not guarantee an accurate answer to every detail: the model can still miss a condition in the middle of a file.

Consider a practical request: “Review this Python service, find the cause of the memory leak, suggest a fix, and add a test.” A sensible starting point is the model currently ahead on coding: its result is 9.9 for Claude Fable 5.1 and 9.5 for GPT-6 Astra. Claude Fable 5.1 looks stronger if the current gap remains in Claude’s favor; if Astra has the higher value, GPT-6 Astra should be your first choice. This conclusion is based on the data, not the brand.

Another scenario is reviewing a long supply contract in the evening. GPT-6 Astra has the advantage in context size if 1.1M is larger than 1M: it is easier to load the full document, appendices, and list of comments into one conversation. Claude Fable 5.1 may still produce a better analysis of individual clauses, especially when the question requires a careful comparison of wording. A model cannot replace a final legal opinion.

For studying, try a third test: “Explain derivatives using an example about fuel consumption, then give me five problems with answers and check my solution.” Here, the consistency of the explanation matters more than context length. There is no separate reasoning score in the current data, so the table alone cannot identify a winner. We tested the models with questions of this kind: both can break a topic down step by step, but you should verify the answer against the formula rather than treating a confident tone as proof.

An honest verdict

If you need coding, compare the current pair: 9.9 versus 9.5. The model with the higher value wins on this criterion, and it is also my practical choice for fixing errors and writing tests. If your task involves long materials, GPT-6 Astra is more appealing when its context window of 1.1M exceeds 1M.

On the overall score, Claude Fable 5.1 is currently ahead with 9.9. The gap is small enough that a specific prompt could change your impression. In QueryWise, you can put both models side by side: they answer together, making it easy to see where they agree and where one of them has invented an extra detail.

My verdict is simple: for coding, choose the current leader on the coding measure; for large documents, choose the model with the larger context; and when conditions are otherwise equal, go with Claude Fable 5.1 based on the current score. Prices are nearly identical, so choosing one over the other will not save you money right now. Have all medical, legal, and financial answers checked by a qualified professional.