ChatGPT vs Gemini
The short answer
These two differ more by surroundings than by raw capability. ChatGPT has the larger first-party feature set and the wider third-party ecosystem; Gemini has very large context windows and sits inside Google's products and index. If your work already lives in Google Workspace, that proximity decides it. If it does not, the deciding factor is usually which model handles your particular kind of task, and the only way to know is to ask both.
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ChatGPT vs Gemini, side by side
| ChatGPT | Gemini | |
|---|---|---|
| Made by | OpenAI | |
| Premium tier | GPT-5.5 Pro | Nano Banana Pro (Gemini 3 Pro Image) |
| Newest release | GPT-6.1 Terra Pro | Gemini 4 Argon |
| Context window | 1.1M tokens | 66K tokens |
| Output price | 2160 credits / 1M tokens | 144 credits / 1M tokens |
| Released | April 2026 | June 2026 |
| What it is | OpenAI's assistant, built around its own GPT model family, with first-party image generation, voice and a large connector and app ecosystem. | Google's assistant, built around its own Gemini model family and wired into Google's own products and search index. |
| On Zeplik | All OpenAI models | All Google models |
Prices and context windows are read from the model registry Zeplik routes and bills against, not typed into this page. Both rows are derived, so a new release changes this table on its own: the premium tier is each lab's highest-priced current model, and the newest release is its most recent. The context window and price shown are the premium tier's. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Figures as of .
Which to pick, and when
These are STRUCTURAL differences -- what each product is and what it is wired into -- not benchmark results. We have not run a head-to-head evaluation and are not going to publish one we did not run.
- Your documents, mail and calendar are all Google
- Gemini. Proximity beats small capability differences when the assistant can already see the material.
- The input is enormous -- a pile of documents, a long transcript
- Gemini, usually. Very large context windows are the thing Google has pushed hardest, and the table above shows where it currently stands.
- You want voice, image generation and custom apps in one product
- ChatGPT. The first-party surface around the model is wider.
- You are integrating with third-party tools
- ChatGPT. Most products build an OpenAI integration first and others later.
- The question is about something that happened this week
- Either, with grounding. Both can search; what matters is that the answer cites something you can open.
- You cannot tell which is better for your work
- Ask both the same question with the same history. That is a one-click switch in a multi-model chat and a copy-paste exercise anywhere else.
Where each one wins
Where ChatGPT is stronger
- The broadest first-party feature set: voice, image generation, custom GPTs, a large app ecosystem
- The widest third-party support, because most tools integrate with OpenAI first
- Earliest access to OpenAI's newest models, usually before any other product has them
Also one lab, and the same thing follows: whatever another lab leads on this quarter is not in the subscription.
Where Gemini is stronger
- Very large context windows, which matter when the input is a pile of documents rather than a question
- Integration with Google's own products, which is decisive if your work already lives in them
- Grounding against Google's index for questions about the recent world
One lab again, and the deepest integrations assume you are inside Google's ecosystem already.
Use both in one chat
Zeplik routes to 285 models from 53 labs, including OpenAI's and Google's, in a single conversation. The model is chosen per message and the whole history travels with the switch, so you can ask one lab to draft and the other to critique the draft without repeating yourself. The same balance covers image, music and video generation, 465 ready-to-run skills and 900 connected apps. Free to start, no card.
More on Zeplik
- Every modelBrowse every model Zeplik routes to, with live pricing and context windows.
- Model comparisonsOne model against another, built from the same live registry as the table above.
- Assistant comparisonsZeplik against each assistant in turn, including where the other one wins.
- Simple credit pricingOne credit is $0.10 of model usage. Every capability is on every plan.
Frequently asked questions
- Is Gemini better than ChatGPT?
- For very large inputs and for work that already lives in Google's products, Gemini has a structural advantage. For breadth of features and third-party integrations, ChatGPT does. Neither leads everywhere, and which leads on raw capability changes with each release.
- Can I use GPT and Gemini models in the same chat?
- Yes, on Zeplik. The model is chosen per message and the conversation history travels with the switch, so the second model sees what the first one said.
- Which has the larger context window?
- Google has generally pushed hardest on context length, but the numbers move with every release. The table above reads the current figures from the registry Zeplik routes and bills against.
- Which is cheaper?
- Both labs sell several tiers at very different prices, so the honest comparison is per model and per million tokens, which is what the table above shows.
- Do I need both subscriptions?
- No. One Zeplik balance reaches 285 models from 53 labs plus 900 connected apps and media generation.
Stop choosing
Run the same question on ChatGPT and Gemini in one thread, on one balance, and keep the better answer.