Imagine this: You are deep into a huge coding job, loading a 200-page plan, and your AI still remembers every detail from the first page. That is what people are saying about Grok 4 on X and tech groups right now. I gathered the newest info from xAI’s July 2025 release, latest test scores, and real talks from users in October and November, no extra talk, only useful facts. If you are thinking about switching from ChatGPT or Gemini, this will show you the truth, using solid numbers from places like xAI papers and outside checks.
This grok review gets straight to the point. Grok 4 is not just a small change; it is made for tough jobs where memory and exact answers matter most. I looked at the official details, matched them with what users say online, and saw how it works on actual work. Here is the simple truth about who gains a lot and who can wait.
Grok Review: Unpacking Grok 4’s Standout Upgrades
Grok 4 is not just a small step up from Grok 3; it is xAI’s big move to take the top spot in real smarts and handling huge amounts of data. Back in July 2025, they launched it with ten times more training power than before, focusing on making the AI think like a human on tough problems. Everyone is talking about two key things: the huge memory boost and the new Heavy Mode.
These come straight from official xAI specs and early user tests up to November 2025. The first lets you throw in entire books or code projects without it forgetting anything. The second uses a team of five AI agents to double-check answers for near-perfect results. Together, they make Grok 4 feel like a true work partner for coders and researchers, not just a quick chat tool.
The 256K Context Window, Handling Huge Loads Like a Pro
Think of the context window as the AI’s short-term memory. Grok 4 packs 256,000 tokens, which equals roughly 200,000 words. That is enough to hold a full novel or a massive code base in one go without forgetting the start by the time it reaches the end.
Developers love it because they can paste a 180,000-token Python app and still get fixes that make sense across the whole file. It strikes a perfect balance: large enough for serious work yet not so big that it bogs down the system like some other models do.
- ChatGPT o3 stops at 128,000 tokens and often needs you to summarize first.
- Gemini 2.5 goes to one million tokens but gets slow after half that amount.
- Copilot stays at 128,000 and works best for small, fast jobs only.
Heavy Mode at $300 a Month: Powerhouse or Patience Test?
Heavy Mode brings five AI agents together to check each other’s work for the best possible answers. It excels on hard tasks, hitting 50.7 percent on Humanity’s Last Exam, the first model to cross the fifty percent mark, and 61.9 percent on USAMO 2025 math proofs.
The catch is the wait time: replies can take forty-five to sixty seconds, sometimes up to ten minutes for giant problems, while normal mode finishes in about eight seconds. Researchers tackling PhD-level puzzles call it a lifesaver; everyday users stick to the faster regular mode.
- Normal mode scores 79.6 percent on SWE-Bench coding tests.
- Heavy Mode pushes that to 83.1 percent with extra checks.
- Great for accuracy, not ideal if you need instant replies.
How Fast Is Grok 4 Really? A Look at 75 Tokens Per Second
Speed decides how smooth your work feels when you are in the middle of a task. Grok 4 runs at about 75 tokens per second, which means it produces solid answers without rushing, perfect for careful thinking. Users on forums say it feels quick enough for coding sessions but starts to drag during long back-and-forth talks that last hours. The number comes from real tests in November 2025, showing it sits in the middle of the pack, not the fastest but reliable for deep tasks. Many developers like the pace because it matches how they think through problems step by step.
| Model | Speed (Tokens/Second) | What It Feels Like |
| Grok 4 | 75 | Balanced for deep thinking |
| Gemini 2.5 | 110 | Zoomy for big docs |
| Copilot | 90 | Everyday quick fixes |
| ChatGPT o3 | 188 | Lightning for chats |
One X developer put it this way: “Grok’s pace is like a steady hike, gets you there without rushing.”
Grok 4 Benchmarks: Where It Stacks Up Against the Pack
Numbers don’t lie, and Grok 4’s are impressive: 87.5% on GPQA Science and 15.9% on ARC-AGI V2 (nearly double Claude’s). But how does it fare head-to-head? I cross-checked xAI data with 2025 showdowns — Grok leads in reasoning and agents, but Gemini owns long docs.
| Benchmark | Grok 4 Score | ChatGPT o3 | Claude 4 | Gemini 2.5 |
| AIME 2025 Math | 95% | 94.6% | 78% | 86.7% |
| SWE-Bench Coding | 79.6% | 75% | 74.5% | 77% |
| GPQA Science | 87.5% | 88.4% | N/A | N/A |
| Humanity’s Last Exam | 50.7% (Heavy) | N/A | N/A | N/A |
Grok edges out on math and agents, but o3 is more consistent for everyday logic.
Grok 4 vs ChatGPT o3: The All-Rounder Battle
ChatGPT o3 plays the role of the everyday hero that handles almost any job with ease. It shines in quick math, casual chats, and voice replies that feel almost human, coming in under 232 milliseconds. The free tier is generous, letting anyone jump in without paying, and it nails 98 to 99 percent accuracy on AIME math problems when using built-in tools. Where it falls short is memory; the 128,000-token limit means you often have to break big files into pieces or summarize first. For most people doing daily work, writing emails, or brainstorming ideas, o3 feels fast and friendly.
Grok 4 steps in with a different strength: raw depth on large projects. The 256,000-token memory lets you upload entire code bases or long reports in one shot, and real-time X search pulls in the latest trends without extra steps. It keeps an unfiltered tone that some love for honesty takes on hot topics. Speed sits lower at 75 tokens per second, so it is not the choice for lightning-fast replies, but the Heavy Mode option pushes accuracy higher on tough coding or research tasks. Developers who need to dig into massive data sets find Grok 4 changes how they work.
| Feature | Grok 4 | ChatGPT o3 |
| Context Window | 256,000 tokens | 128,000 tokens |
| Speed | 75 tokens/second | 188 tokens/second |
| Math Accuracy (AIME) | 95% (Heavy Mode boosts further) | 98-99% with tools |
| Voice Response | App-only, natural | 232ms, very human-like |
| Free Tier | Limited messages | Full access |
| Best For | Big code, deep research | Daily tasks, quick answers |
Related Article: ChatGPT vs Gemini vs Claude: How to choose the best?
Grok 4 vs Gemini 2.5: Long-Haul Champs Compared
Gemini 2.5 stands out as the king of handling super-long jobs, thanks to its one million token window that lets it chew through up to 1,500 pages of text in a single pass. It scores 24.4 percent on MathArena, a test where most models stumble on massive data sets, making it a go-to for pulling together huge reports or legal docs without breaking a sweat. The model feels fast at 110 tokens per second, and its multimodal tricks, like understanding images alongside text, add real value for tasks that mix words and visuals. For teams doing deep dives into old archives or building knowledge bases from thousands of pages, Gemini 2.5 just works better out of the box.
Grok 4 holds its own on the memory front with 256,000 tokens, enough for full code projects or detailed research papers, and it pulls ahead in smart planning with scores like 44.4 percent on Humanity’s Last Exam and strong results on Vending-Bench agent tests that simulate real business decisions. The real-time tie-in to X keeps it fresh for current events, which Gemini lacks, and Heavy Mode cranks up accuracy for those marathon sessions. It is not as speedy or as endless in context, but the focus on clear reasoning makes it a solid pick when you need the AI to think like a strategist rather than just store data.
| Feature | Grok 4 | Gemini 2.5 |
| Context Window | 256,000 tokens | 1,000,000 tokens |
| Speed | 75 tokens/second | 110 tokens/second |
| Math Score (MathArena) | 20.1% | 24.4% |
| Agent Tasks (Vending-Bench) | $4,694 simulated sales | Lower performance |
| Multimodal Support | Text and images | Text, images, and video |
| Best For | Reasoning and real-time planning | Massive doc analysis |
What Real Users Say About Grok 4 (Fresh November 2025 Vibes)
Real people using Grok 4 every day tell the true story, and the feedback from November 2025 is all over the place. Coders on X and Reddit threads give it high marks for fixing bugs that other models miss, especially when Heavy Mode kicks in. A quick poll of over 200 developers showed 68 percent love the extra accuracy for hunting down errors in big code files. But 30 percent complain about the wait, saying it feels like pausing for coffee in the middle of a fast sprint.
One researcher shared how Grok 4 read a 200-page PDF and pointed out gaps that Claude only summarized without depth. Casual users are less excited, rating it around 7 out of 10 for fun chats, while pros in coding give it 9 out of 10. The split is clear: power users rave, light users shrug.
- Heavy Mode wins for tough bug fixes and research depth.
- Speed complaints come from those who want instant replies.
- Overall vibe: great for work, okay for play.
Free, $32, or $300? Picking Your Grok Plan
No single plan fits everyone, and the choices line up with how you use the tool. The free option gives 30 messages per hour and a basic 128,000-token context, perfect for trying things out or light questions. Premium+ at thirty-two dollars a month opens full 256,000-token memory and removes all limits on speed and tools, making it ideal for daily coding or writing. The Heavy plan at three hundred dollars a month adds multi-agent checks for the highest accuracy, aimed at pros who need 83 percent or better on complex tests.
| Plan | Price | Key Perks | Ideal User |
| Free | $0 | 30 msgs/hr, 128K context | Curious beginners |
| Premium+ | $32/month | Unlimited, 256K + tools | Daily coders/writers |
| Heavy | $300/month | Multi-agents, 50%+ benches | PhD/research heavies |
My Honest Wrap-Up, Upgrade or Pass?
Grok 4 earns a strong 8.8 out of 10 in my view. It stands out for top-level reasoning and huge memory that change how you handle big files or smart planning. The lower speed and high cost for Heavy Mode keep it from a perfect score, but the strengths are real for serious work.
Jump in if you deal with large projects or need agent-level thinking, it will speed up your flow in ways others cannot. Otherwise, start with the free tier to see if it fits. xAI keeps improving fast, so by December this could feel even better. What’s your take? Heavy Mode hero or hype? Comment below!
Frequently Asked Questions About Grok 4
Is Grok really good?
Yes, especially for coding and big files. It scores 95 percent on tough math and handles 256,000-token projects smoothly. Casual users like it too, but pros love it most.
Is Grok AI better than ChatGPT?
It depends. Grok 4 wins on memory and real-time X data. ChatGPT o3 is faster and cheaper for daily tasks. Pick Grok for deep work, ChatGPT for speed.
What are the disadvantages of Grok?
Heavy Mode is slow (45 to 60 seconds) and costs $300 a month. Normal mode is 75 tokens per second, not the fastest. Free tier limits you to 30 messages per hour.
Is Grok safe to use?
Yes. xAI follows strict data rules. No personal info is stored beyond chats, and you control what you share. Free tier is safe for testing.
Can Grok 4 replace my coding assistant?
For big projects, yes. It fixes bugs across full codebases and explains steps clearly. For quick edits, Copilot or o3 might still be faster.



