GPT-OSS 120B or Grok 4.7 — which is better in QueryWise?
By current score, Grok 4.7 leads in QueryWise. OpenAI’s GPT-OSS 120B stands out for reasoning quality, while xAI’s Grok 4.7 performs noticeably better overall and supports contexts of up to 500K tokens.
Scores 0–10 on the QueryWise scale: a composite per-dimension estimate factoring in our speed and reliability measurements.
| Criterion | GPT-OSS 120B | Grok 4.7 |
|---|---|---|
| Overall score | 3.7 | 8.3 |
| Coding | 5.0 | — |
| Reasoning | 9.9 | — |
| Price per question | ≈10 ₸ | ≈10 ₸ |
| Context | 131K | 500K |
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 GPT-OSS 120B and Grok 4.7 answer together — you instantly see where they agree and where they differ.
GPT-OSS 120B and Grok 4.7 sit in different tiers of the QueryWise leaderboard. GPT-OSS 120B scored 3.7 out of 10 and ranks 35. Grok 4.7 scored 8.3 and sits at 12. By current score, Grok 4.7 is ahead, while the QueryWise leaderboard is led by Claude Opus 5.5 with 9.9.
This is more than a cosmetic difference. Grok 4.7 is much closer to the top of the table, while GPT-OSS 120B is most useful when an answer requires careful, step-by-step reasoning. Both models are available in QueryWise to users in Kazakhstan: payments are made in tenge, the interface is available in Russian and Kazakh, and new users receive three free questions.
Answer quality: Grok 4.7 leads on overall performance
The QueryWise ranking places Grok 4.7 above GPT-OSS 120B for overall quality. Grok 4.7’s current score is 8.3, compared with 3.7 for GPT-OSS 120B. So for a general-purpose task, I would start with Grok 4.7: based on our data, it is more likely to deliver a strong answer on the first prompt.
There is an important caveat with GPT-OSS 120B. Its reasoning score is 9.9 out of 10, while its coding score is 5.0. That combination is unusual: the model can handle logic, constraints, and sequences of actions well, but its coding results are noticeably more modest.
We tested both models with a practical question: “Create a migration plan for moving an online store from PostgreSQL to another cluster with no downtime, and list the risks and rollback sequence.” GPT-OSS 120B broke down the dependencies well and added a data-integrity check. Grok 4.7 produced a more cohesive plan with operational steps, but needed clarification about the acceptable downtime limits. It is a useful illustration of the difference: GPT-OSS 120B excels at logical decomposition, while Grok 4.7 more often produces an answer that is ready to put into practice.
Speed and pricing in tenge
So claiming that one is faster would be speculation. On a short prompt, the difference is often determined by the length of the answer rather than the model’s name.
An average question costs approximately 10 ₸ with GPT-OSS 120B and 10 ₸ with Grok 4.7. At roughly the same price, savings do not decide the choice. If you need to process dozens of short document-related requests in an evening, both models remain affordable for users in Kazakhstan. With a heavier workload, however, total costs still depend on the length of the context and the response.
Context and task types
GPT-OSS 120B has a context window of 131K tokens. Grok 4.7 supports 500K tokens. The difference matters when a prompt needs to include a long contract, several technical files, or a conversation history. For a one-page question, it has little impact.
GPT-OSS 120B is a sensible choice when you need to examine disputed logic: find contradictions in requirements, check a mathematical argument, or build a step-by-step decision framework. It can also help with exam preparation if you ask it not only for an answer but to verify every transition in the reasoning.
Grok 4.7 looks preferable for larger materials. For example, you can give it a lengthy specification for a Kazakhstan-based service and ask it to identify missing roles, dependencies between sections, and questions for the client. Another use case is comparing several contract versions or preparing a concise brief from a long report. For medical, legal, and financial decisions, the outputs of both models should be checked by a qualified professional.
In QueryWise, you can use both models in the same workflow: they answer together, letting you see where their conclusions agree and where they diverge. That is more useful than choosing a model blindly by name. GPT-OSS 120B may flag a logical error in Grok 4.7’s plan, while Grok can suggest a more practical structure for the final result.
The honest verdict
By current score, the winner is Grok 4.7: its rating metric is currently higher than its competitor’s. For general questions, long materials, and tasks that call for a result you can edit immediately, I would choose Grok 4.7.
Choose GPT-OSS 120B in a different situation: when consistent reasoning matters more to you than the overall ranking and you are prepared to verify the code or factual details yourself. Its 9.9 reasoning score is a strong argument, although the overall result of 3.7 limits the recommendation. With prices that are roughly similar — 10 ₸ versus 10 ₸ — the deciding factors remain the task type and context size.
FAQ
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Better yet — do not choose
In QueryWise GPT-OSS 120B and Grok 4.7 answer together — you instantly see where they agree and where they differ.
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