Guides · AI chatModel selection guide

The best AI model for coding is the one that fits the task in front of you

No single model wins every coding job, and this guide does not rank them. It shows how to choose in Vizify by the things you can actually control: how hard the model thinks, whether it can read a screenshot, which models your plan includes, and when to switch.

Capabilities reviewed 2026-09-26

Method

Step by step

  1. Name the kind of coding task

    A quick syntax question, a one-function rewrite, a tricky bug across several files, and a design review are different jobs. Decide which one you have before picking a model, because it decides how much reasoning and context you need.

  2. Start with the default for small tasks

    GPT-5.4 Mini is Vizify's default and the Basic model available on every account. It accepts text and images and has an adjustable thinking level, which covers explanations, small snippets, regexes, and first-pass reviews.

  3. Raise the thinking level for hard problems

    Many Vizify models expose a Thinking level control next to the composer. Higher levels spend more time reasoning before answering, which helps with subtle bugs and algorithm design; lower levels answer faster for routine edits.

  4. Pick an image-input model for screenshots

    If the problem is on screen, such as an error dialog, a broken layout, or a diagram, choose a model marked for image input. Some models, including the DeepSeek and most GLM models, accept text only.

  5. Paste the code and the error, not a description

    Give the exact code, the full error message, the language and version, and what you expected. Vizify cannot open your repository or run your code, so everything the model needs has to be in the conversation.

  6. Switch models when you are stuck

    Vizify sends each request to the one model you select, and you can change the model before the next request in the same conversation. A second model with a different approach is often the quickest way past a dead end.

  7. Test everything yourself

    Treat generated code as a draft. Run it, test the edge cases, and review it for security before it goes anywhere near production.

Copy and adapt

Prompt examples

Debug with the full error

Python 3.12, FastAPI 0.115. This endpoint returns 422 when the request body looks valid. Here is the route, the Pydantic model, the exact request body, and the full error response. Explain the cause first, then show the smallest fix.

[paste code, request, and error]

Why it works: Versions, the exact input, and the full error leave the model nothing to guess, and asking for the cause before the fix makes the reasoning checkable.

Refactor with constraints

Refactor this TypeScript function to remove the nested callbacks using async/await. Keep the public signature and error behavior identical, do not add dependencies, and list any behavior change you could not avoid.

[paste function]

Why it works: The constraints define what counts as a correct refactor, and the request for a list of behavior changes forces the risky parts into the open.

Review for bugs, not style

Review this Go HTTP handler for correctness and security issues only: race conditions, unchecked errors, input validation, and resource leaks. Ignore formatting and naming. For each issue, give the line and a one-sentence fix.

[paste handler]

Why it works: Narrowing the review scope keeps the answer on the problems that matter and makes it easy to verify line by line.

Read a screenshot

The attached screenshot shows a React Native layout where the footer overlaps the list on Android only. Here is the screen component and its styles. What is causing the overlap and how do I fix it?

[attach screenshot, paste component]

Why it works: The screenshot shows the symptom and the code shows the cause. Send it with a model marked for image input.

Generate a static HTML artifact

Create a single-file HTML page with a pricing table for three plans, using only HTML and inline CSS: no JavaScript and no external libraries. Highlight the middle plan, and make the table stack into cards below 480px wide.

Why it works: Vizify can save an HTML page as an artifact and preview it, but scripts do not run in that preview, so a static, self-contained page is what you can check on screen.

Before you start

Current limitations

  • Vizify does not run your code, tests, or build. HTML artifacts preview with scripts disabled and React artifacts are shown as source, so you have to execute and test code yourself.
  • Vizify cannot open your repository, read files you have not pasted, or search the web for documentation. Paste the code and error text you want it to see.
  • Only GPT-5.4 Mini is included on a Basic account. Switching to any other chat model needs Vizify Pro or a credit pack.
  • Each request goes to one selected model. Vizify does not run one prompt on several models at once or merge their answers.
  • This guide does not rank models or cite benchmark scores. Model fit depends on your task, language, and codebase.

Why this guide does not name a winner

Searches for the best AI model for coding usually return a leaderboard. Leaderboards measure specific benchmarks, and the model that tops one of them is not necessarily the one that handles your framework, your error, or your codebase best. Vizify does not run independent coding benchmarks, so instead of a ranking this guide explains the choices you control in Vizify and how to use them for the job in front of you.

The four choices that matter in Vizify

Thinking level. Vizify shows a Thinking level control beside the composer for models that support it. The GPT-5.4 and GPT-5.5 models range from None to Extra high; the GPT-5.6 and GPT-6 models go up to Max; Claude Sonnet 5, Claude Opus 4.8, and the Claude Fable models range from Off to Extra high; DeepSeek V4 offers Off, High, and Max; GLM-5.3 offers Low, High, and Max. GLM-5 Turbo, GLM-5.1, GLM-5.2, the Kimi K2 models, and MiniMax M3 switch thinking on or off, while Claude Opus 5 and 5.5, Gemini 3.6 to 3.8 Flash, Gemini 3.5 Flash-Lite, Grok 4.6 and 4.7, and Kimi K3 manage thinking themselves. A few models have no thinking control at all.

Image input. 42 of the 52 chat models accept images alongside text. The text-only models are the DeepSeek models, GLM-5 Turbo, GLM-5.1, GLM-5.2, GLM-5.3, Ling 3.0 Flash Fin, MiniMax M3, and Qwen 3.8 2.4T-A95B, so use another model when the bug is visible in a screenshot.

Access. GPT-5.4 Mini is the default and the only Basic model. Switching to any other chat model is a paid entitlement that needs Vizify Pro or a credit pack.

Switching. Each request uses one model. You can change the model for the next request without leaving the conversation, which makes “ask a second model” a cheap way to get a different approach to the same problem.

A practical pattern

Start on the default model for the first pass: explain the error, narrow down where it happens, draft a fix. If the answer is shallow or wrong, raise the thinking level before changing anything else. If that still fails, switch to a different paid model with a higher thinking level and give it the same code and error, plus what the first attempt got wrong. Keep the model on your screen that gave the clearest reasoning, not just the longest answer.

What Vizify will and will not do with code

Vizify can explain, write, refactor, and review code in chat, and it can save a self-contained HTML page or a React component as an artifact. An HTML artifact is previewed in a sandbox with scripts disabled, so layout and styling are visible but interactive behavior is not; a React artifact is shown as source code. Vizify does not execute your programs, run test suites, install packages, open your repository, or look up documentation on the web. Every answer about real code needs to be run and tested by you.

FAQ

Questions people ask

What is the best AI model for coding?

There is no single answer that holds for every task, and Vizify does not publish a ranking. Choose by task: the default model for quick questions, a higher thinking level for hard bugs, and an image-input model when the problem is in a screenshot.

Which Vizify models let me change the thinking level?

Many do, including the GPT-5.4, GPT-5.5, GPT-5.6, and GPT-6 families, Claude Sonnet 5, Claude Opus 4.8, the Claude Fable models, DeepSeek V4, and GLM-5.3. Some models only switch thinking on or off, and some, such as Claude Opus 5.5 and Kimi K3, manage it themselves.

What does the thinking level actually change?

It sets how much the model reasons before it answers. Higher levels usually help with multi-step problems and subtle bugs but take longer; lower levels are faster for routine edits. The available levels differ by model.

Can I paste a screenshot of an error?

Yes, with a model that accepts image input, such as GPT-5.4 Mini, the GPT-5.6 models, or Claude Sonnet 5. DeepSeek, most GLM models, and MiniMax M3 accept text only in Vizify.

Can Vizify run my code?

No. Vizify can explain, write, and review code, and it can save HTML or React code as an artifact. An HTML artifact previews with scripts disabled and a React artifact is shown as source; neither runs your programs or tests, and Vizify does not connect to your repository.

Can I switch models in the middle of a conversation?

Yes. Select another available model before your next request. The conversation stays in place, and the next reply comes from the model you selected.

Which coding models are included without a paid plan?

GPT-5.4 Mini, Vizify's default model, is the Basic model. Every other chat model in Vizify requires Vizify Pro or a credit pack.

How should I give a model a large codebase?

Paste only the files and functions involved in the problem, plus the error and how to reproduce it. Replies have a bounded length, so ask for one file or one change at a time rather than a whole rewrite.

Related

Keep going

Choose for the task

Open Vizify AI chat, pick a model, and paste your code.