Gemini 3.1 Pro: Strong Coding and a Long Context

Google’s main bet: a 1M-sized context window

Gemini 3.1 Pro’s defining feature is a context window of up to 1M tokens. You notice that size not in a marketing line, but when working with substantial materials: the model can handle a long contract, several code files, or an archive of messages in one request. For users in Kazakhstan, that is useful when reviewing tender documents, cross-checking project requirements, or organizing a large report in Russian and English.

Gemini 3.1 Pro was developed by Google. On QueryWise, it is available alongside other strong models, so you can compare them on the same prompt instead of relying on impressions from different chats. Our overall result is 8.2/10, placing it 12th among 25 models. Currently above it is GLM 5.2 with 8.6 points, while below is MiniMax M3 with 7.8.

In character, it is more of a workhorse than a conversational favorite. Its strengths are structure, careful adherence to instructions, and the ability to keep track of a long task. But a large context window does not guarantee a perfect answer: when the source data is contradictory, the model may confidently choose the wrong interpretation.

What the QueryWise ranking and our measurements show

Gemini 3.1 Pro’s internal scores are especially convincing in two areas: 9.1/10 for coding and 9.2/10 for reasoning. Both are above its overall result of 8.2/10, meaning the model is noticeably stronger when it needs to break a task into steps, find an error, or suggest a workable architecture. It ranks 12th, while the current top position belongs to Claude Fable 5 with 9.8/10. The gap to the leader is 1.6 points.

The median response speed in our telemetry has not yet accumulated enough observations for a firm assessment: — seconds. We also do not consider reliability statistically confirmed yet. We added the model on release day and chose not to disguise a small sample with an attractive percentage. Our logs already show that results depend on prompt size and the number of attached materials, but it is too early for broad conclusions.

For comparison, the other models near the leader in the current top four are Claude Fable 5, GPT-5.6 Sol, Kimi K3, Grok 4.5. Gemini 3.1 Pro is not an unquestioned winner, but its profile is clear: it is stronger at coding and logic than at trying to please everyone with a universal style. That is the useful honesty of the QueryWise ranking—one number shows the position, while the sub-scores explain why.

Which questions does Gemini 3.1 Pro handle best?

The model is well suited to practical tasks where a verifiable sequence of actions matters. For example: “Find the error in this Python script that calculates VAT and explain the fix line by line.” Another strong prompt is: “Compare two versions of a lease agreement and highlight differences in terms, penalties, and termination conditions.” The long context helps keep the relevant document in view instead of extracting a single paragraph.

There is also an everyday scenario: “Plan a four-day trip from Almaty to Astana with a budget in tenge, including the train, hotel, and one day without a packed schedule.” Gemini 3.1 Pro can break such a request into stages and make its assumptions explicit. But prices, schedules, and rules must be checked separately: the model is neither a travel operator nor a source of current tariffs.

For development work, it is particularly interesting for refactoring. You can provide several related files and ask it to find an incompatibility between an API and an error handler. The 9.1/10 coding score is not a fluke, although patches should never be accepted blindly. The model responds confidently in Russian and understands Kazakh in simple formulations; complex business text in Kazakh should be reviewed by a person.

Where the model’s limitations begin

The first drawback is the lack of sufficient statistics on speed and reliability. The —-second figure and the current reliability status should not be treated as a final verdict: there are still too few observations. For an urgent task, the practical advice is simple—compare Gemini 3.1 Pro’s answer with another model instead of sending it to a client unchecked.

The second issue is familiar from all large language models: confident errors. A prompt such as “List Kazakhstan’s current requirements for preparing this legal document and provide exact links” may produce a plausible but outdated answer. The model is not a substitute for a lawyer. The same applies to medicine, taxes, and financial decisions. It can help prepare a list of questions for a doctor or accountant, but it should not make decisions in place of a specialist.

Gemini 3.1 Pro does not always choose the shortest route either. For a simple request like “fix one formula in a spreadsheet,” the answer may be overloaded with explanations. If you want a light conversational style or a very fast draft, another model in the current top four may feel more pleasant. Compared with Claude Fable 5 at 9.8/10, Gemini trails in overall position, although it retains a strong reasoning profile.

Price in tenge and our verdict

An average question to Gemini 3.1 Pro on QueryWise costs approximately ≈10 ₸. That seems reasonable for a task that saves time when reviewing a large document or debugging code. Access from Kazakhstan is already available: payment is made in tenge, the interface can be set to Russian or Kazakh, and new users receive 3 free questions to start.

A practical way to try the model is to send the same prompt to several ranking participants. QueryWise displays the answers side by side, so the difference between Gemini 3.1 Pro and Claude Fable 5, GPT-5.6 Sol, Kimi K3, Grok 4.5 becomes visible on real material rather than in an abstract table. Start with your own document or a project excerpt, not a demo prompt.

My verdict is straightforward: Gemini 3.1 Pro is good for coding, complex analysis, and large source materials. It may be excessive for light conversation, and it is still too early to promise consistent speed and reliability. With 8.2/10 and a 12th-place ranking, it is a strong work option—but not a reason to automatically abandon the leader, Claude Fable 5. For Kazakhstan, its decisive advantages are payment in tenge and the low average prompt price.