Choose ChatGPT if…
- Broad general capability across reasoning, code and everyday tasks
- The deepest tooling ecosystem: code execution, data analysis, image generation, voice
A polished general assistant against a blunt, real-time one.
ChatGPT is the safer default for professional work and has far more built-in tooling. Grok is more current, more direct, and competitive on hard reasoning.
Last updated 22 September 2026
The quick answer
Start with the job you need to do. You do not need a single winner.
Rileva’s answer: use Auto when you want the right model chosen for the task, or Council when you want both perspectives compared.
At a glance
The facts that matter most, side by side.
| Feature | ChatGPTOpenAI | GrokxAI |
|---|---|---|
| Consumer price | Free tierPlus around $20/monthPro tier for heavy use | Limited free accessSuperGrok around $30/monthX Premium+ bundles |
| Free tier | Yes, with lower limits and a smaller model | Limited |
| Flagship model family | GPT-5 series | Grok 4 series |
| Web & research | Built-in browsing with citations | Live web and real-time X/social data |
| Coding | Strong across languages, with a code interpreter and agent-style tooling | Strong on hard reasoning and agentic, tool-driven coding |
| Files & documents | File uploads, spreadsheets and data analysis in-chat | Large context; document work is capable but less of a focus |
| Voice & multimodal | Voice conversations, image input and image generation | Image input, voice, and separate image generation |
| Long-context work | Large context on paid tiers; strongest on structured, staged work | Large context, with good performance on difficult analysis |
Same prompt
A clear example of how the two models approach the same brief.
The prompt
“What is the current sentiment among developers about our new pricing change, and what are the strongest objections?”
Browses published coverage and community posts, cites them, and organises the objections into three clear themes with balanced framing.
Pulls the live conversation, quotes specific recent posts, and states plainly which objection is gaining traction rather than treating all three as equal.
How their thinking differed
ChatGPT produced the more careful structure; Grok produced the more current picture and took a position on which objection matters most.
Illustrative example, not benchmark data.
Balance
Honest strengths and the trade-offs that come with them.
By task
Choose a task to see where each model’s working style fits.
Comfortable across most stacks, and unusually good at multi-step technical work where it can run code, inspect the result and iterate. Strong at debugging from a stack trace and at turning a vague requirement into a plan.
Competitive on difficult, reasoning-heavy problems and on agentic work where the model has to plan, call tools and correct itself.
Browses the live web and cites what it used. Best when the question needs synthesis across several sources rather than a single authoritative lookup.
Unusually good on what is happening right now, because it draws on live web and public social data as well as search.
Grok's access to live public conversation makes it noticeably better on what is being said right now, as opposed to what has been published.
Fast, clear and consistent, and excellent at structured formats — briefs, summaries, outlines. Distinct voice usually needs explicit direction.
Concise and direct, with little filler. Less suited to long-form work that needs a carefully controlled voice.
Grok is shorter and blunter by default; ChatGPT is more polished and more predictable in a professional setting.
Handles uploaded files and spreadsheets well, and can compute over them rather than only reading them. Very long inputs are better split into staged passes.
Handles large inputs, and is good at critical reading — arguing with a document rather than only summarising it.
Produces a wide spread of options quickly and organises them without being asked. Good for divergence, then narrowing.
Contrarian by temperament, which is useful for stress-testing an idea or finding the objection nobody raised.
Rileva
Auto chooses for youRileva routes your task to the model that fits it.
Council compares themSeveral models answer, then Rileva shows where they agree and differ.
FAQ
Keep reading
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Claude vs Gemini
The careful writer against the widest context window.
Claude vs Grok
Considered and careful against fast and direct.
Gemini vs Grok
The broadest input against the freshest information.