benchr
Picture a story breaking an hour ago. A product just got recalled, a match just ended in chaos, a stock is moving on a rumor that's only on X. Ask a model trained months ago and you'll get a confident answer about a world that no longer exists. That gap, between what a model learned and what's true this minute, is the whole reason this comparison exists.
In the documentation snapshot cited here, xAI lists two retrieval tools: Web Search and X Search, with keyword, semantic, user, and thread operations. That is a documented product difference worth testing. It does not prove exclusive access, better coverage, more reliable sources, or stronger answers than every other assistant.
Grok 4.3 arrived in spring 2026 as a reasoning-capable model with a 1-million-token context window, taking text and image input. A note on hype, though: despite third-party claims, xAI's own docs do not list native video input, so don't plan around it. And xAI hasn't published clean Grok 4.3 benchmark scores, so this page leans on what's documented, the live-context tooling and the pricing, not on leaderboard numbers that don't exist yet.
| Grok 4.3 | ChatGPT (GPT-5.5) | |
|---|---|---|
| Real-time access | Web Search + X Search tools, live X firehose | ChatGPT Search, free, no live X |
| API price ($/M) | $1.25 in / $2.50 out | $5 in / $30 out |
| Context window | 1M tokens | 1.05M tokens |
| Inputs | Text + image | Text + image |
| Consumer plan | SuperGrok, ~$30/mo (reported) | Plus, $20/mo |
How to decide in one pass
You don't need a benchmark to make this call. You need to ask one question about your task, and the answer routes you cleanly.
Breaking news, a live event, prices or sentiment moving right now. If yes, you want fresh data, not a trained-in memory.
Live reactions, a developing thread, or a specific account. Test Grok's documented X Search against other available search surfaces for coverage, freshness, and citations.
For reasoning, drafting, coding, and explanation, use the same acceptance set and record accuracy, edits, latency, and cost.
Where ChatGPT stays the default
For general tasks, include ChatGPT and Grok only if their current plans and interfaces fit your workflow. The cited sources do not establish a 90% usage split or prove one model better at sustained reasoning, writing, or coding. Build a held-out set and compare current versions; verify live plan limits before relying on a free or no-signup claim. The GPT-5 review and Grok 4.3 review separate provider facts from evaluation questions.
It's also worth being precise about what "real-time" means. On the API, Grok's web and X search are tools an app or developer turns on, not an unconditional behavior of the raw model. In the consumer Grok app they're part of the experience. So Grok can reach the live web and X, but it isn't magically always doing it, and ChatGPT isn't blind to the web either. The honest gap is narrower than the marketing, and it's specifically about X.
The agent angle
If you're building rather than chatting, Grok 4.3's cheap tokens plus live tools make it a natural fit for monitoring agents, things that watch a topic, a ticker, or a set of accounts and report changes. ChatGPT's broader reasoning suits agents that plan and execute multi-step work. The wider state of agent tooling is in AI agents, eighteen months in, and if your real need is sourced answers rather than a chat assistant, compare the dedicated tools in the AI search engines piece.
Shortlist Grok when X-centered retrieval matters, and include ChatGPT when its general workflow or search surface fits. Test both on the same time-sensitive and evergreen questions, scoring source coverage, citation correctness, answer quality, latency, and full workflow cost. There is no universally correct two-subscription setup.
If you're still sorting out which general assistant should be your home base before you add Grok for live context, start with the ChatGPT vs Claude vs Gemini comparison.