GPT-OSS 120B vs GPT-5.6 Sol — which is better?
GPT-OSS 120B and GPT-5.6 Sol were built by the same company, but they belong to different tiers. By the current QueryWise score, GPT-5.6 Sol is ahead: GPT-5.6 Sol scores 9.8 in the ranking, while the other option trails by a noticeable margin.
OpenAI
9.8 / 10
Answer speed: 17 s · Price per question: ≈25 ₸ · Context: 1.1M
Overview →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 GPT-5.6 Sol answer together — you instantly see where they agree and where they differ.
Both OpenAI models are available in QueryWise from Kazakhstan: you can use the interface in Russian or Kazakh, pay in tenge, and get three free questions when you start. That makes this a practical comparison—not a review of abstract developer promises, but of what a user gets from a single request.
One important note: the QueryWise ranking is updated every hour. The figures below are pulled from current data, so the page may show a different result later.
Quality: the gap shows in the scores
GPT-5.6 Sol leads the overall evaluation with a result of . For GPT-OSS 120B, the current score is 5.2, placing it at 22. GPT-5.6 Sol has 9.8 and ranks 2. The top section of the QueryWise ranking includes Claude Fable 5, GPT-5.6 Sol, Kimi K3, and Grok 4.5; GPT-OSS 120B is still well below that group.
The difference is most useful when you look beyond the average score and focus on a specific job. In coding, GPT-OSS 120B scores 5.1, while GPT-5.6 Sol scores 9.9. So for writing a function, finding a Python bug, or analyzing an SQL query, GPT-5.6 Sol is the winner on this metric.
Reasoning paints a different picture in scale, but the conclusion does not automatically change: GPT-OSS 120B shows 9.9, while GPT-5.6 Sol shows 9.5. If you need to unpack an olympiad problem, find a contradiction in a set of requirements, or verify a chain of conclusions, choose the model with the higher current reasoning value. At the time of this update, that is GPT-5.6 Sol.
Speed and price in tenge
In QueryWise telemetry, GPT-5.6 Sol has a median response time of 17 seconds. GPT-OSS 120B currently uses a value of —. Speed matters when you need a quick draft: a delay of a few seconds is tolerable for one question, but frustrating during iterative code debugging or long-form editing.
An average question to GPT-OSS 120B costs about 10 ₸, while a question to GPT-5.6 Sol costs around 25 ₸. This is not a per-million-token tariff, but an estimate for an average request inside QueryWise. The difference becomes meaningful with regular use: for a student asking dozens of short questions, the smaller model is more economical. For production code, GPT-5.6 Sol is worth the price if it saves one or two extra review cycles.
We added it on release day and immediately ran it through the same coding, logic, and long-context tasks. In everyday work, GPT-5.6 Sol more often produced an answer that could be used without major reworking. GPT-OSS 120B sometimes pleasantly surprised us with its reasoning, but its output required more careful checking.
Context and task types
GPT-OSS 120B has a context window of 131K, while GPT-5.6 Sol has 1.1M. This affects not how polished the answer sounds, but how much source material the model can keep in a single conversation.
GPT-OSS 120B is a sensible choice for short explanations, inexpensive drafts, and study questions—especially when you are prepared to verify the wording yourself. For example, it can break down a physics topic, suggest a presentation structure, or explain a small JavaScript snippet. On a limited budget, it is a solid working option, but not one to trust blindly with final verification.
GPT-5.6 Sol is stronger on detail-heavy tasks: repository reviews, long technical specifications, comparisons of several documents, or complex SQL queries. Its 1.1M window gives it more room for source material, while its high coding score is an advantage wherever mistakes cost time.
There is also a convenient checking mode: in QueryWise, you can ask both models the same question and see where they agree and where they take different approaches. That is more useful than picking at random, especially before publishing code or important work-related text.
The honest verdict
For programming, long documents, and complex analysis, the winner is GPT-5.6 Sol if its current lead of 9.8 holds. It costs more, but its 9.9 coding score and 9.5 reasoning score make the choice fairly clear.
For inexpensive short requests, GPT-OSS 120B wins on budget: its estimated price is 10 ₸ versus 25 ₸ for its rival. It also works well for an initial explanation of a study topic and rough drafts. Still, GPT-5.6 Sol currently leads the overall ranking, while the QueryWise leaderboard is topped by Claude Fable 5 with a score of 9.8.
My choice is simple: GPT-OSS 120B is an economical assistant for everyday questions, while GPT-5.6 Sol is the main model when you need an answer you would hate to rewrite. Neither replaces a doctor, lawyer, or financial adviser; important decisions should be checked with a qualified specialist.
FAQ
Which is better for programming: GPT-OSS 120B or GPT-5.6 Sol?
Which model is better for studying?
Which model is cheaper in QueryWise?
Can I try both models for free from Kazakhstan?
Is GPT-5.6 Sol better than ChatGPT?
What is the context window for GPT-OSS 120B and GPT-5.6 Sol?
Better yet — do not choose
In QueryWise GPT-OSS 120B and GPT-5.6 Sol answer together — you instantly see where they agree and where they differ.
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