Grok 4 vs Gemini 3: Which Fits Your Business?

Grok 4 and Gemini 3 represent two different points in the AI release cycle. xAI launched Grok 4 on July 9, 2025, positioning it as its flagship reasoning model. It came with native web search, code execution, and a 256,000-token context window. Google's Gemini 3 Pro is a current-generation model that is generally available now. Pricing is roughly $2 per million input tokens and $12 per million output tokens, with a context window of up to 2 million tokens.

Since then, xAI has released Grok 4.3, 4.5, and 4.6, so Grok 4, also written as Grok-4 or grok4, is no longer the company's flagship. Even so, people still search for it, reference it, and use it in existing deployments. Its published specifications are also stable enough to support a useful comparison. If you want to compare Gemini 3 with xAI's current flagship instead, see our Grok 4.6 vs Gemini 3 comparison.

Here, we compare context windows, pricing, published benchmarks, and compliance to help you decide which model better suits your workload today. We also look at whether it makes sense to move from the original Grok 4 to a newer release.

Grok 4 vs. Gemini 3: Side-by-Side

Suggest a correction — if you work at one of the products above and something here is out of date, tell us and we'll fix it.

Release Timing and Context Window

Grok 4 (also written Grok-4 or grok4) launched July 9, 2025 as xAI's flagship reasoning model, built for multi-step problems rather than fast one-line answers. It ships with native tool use: the model chooses its own web searches and runs code when a question calls for it. It also carries a published 256,000-token context window through its API.

Gemini 3 Pro is Google's current-generation frontier model and the long-context leader in this comparison. Its window runs up to 2 million tokens, roughly eight times Grok 4's published figure. For workloads that mean ingesting very long contracts, codebases, or document sets in one pass, that gap is the practical differentiator.

Neither figure is academic. A 256,000-token window still covers a long contract or several reports in one request. A 2-million-token window covers an entire codebase or a stack of filings. Match the window to your actual document sizes rather than picking the larger number by default.

• Grok 4: 256,000-token context window, published by xAI
• Gemini 3 Pro: up to 2,000,000-token context window, published by Google
• Grok 4 adds native web search and code execution as first-class tool use
• Gemini 3 Pro adds native Google Workspace (Gmail, Drive, Docs, Sheets) integration

Pricing: Gemini 3 Pro Publishes a Rate Card, Grok 4 Does Not

Gemini 3 Pro's per-token pricing is public: roughly $2 per million input tokens and $12 per million output tokens on the Pro tier. Higher rates apply above 200,000 tokens of context.

xAI has not published a per-token API rate for the original Grok 4 in the materials reviewed for this comparison. Consumer access instead runs through SuperGrok or X Premium+ subscriptions, priced at roughly $8 to $40 per month depending on tier, with an API available for developers. If per-token API cost is your deciding factor, confirm the current rate directly with xAI. A later Grok release, 4.3, is priced at $1.25 input and $2.50 output per million tokens, which gives a directional sense of where xAI prices this class of model.

For predictable, budgeted API spend at scale, Gemini 3 Pro's published rate card is the easier number to plan against today.

• Gemini 3 Pro: ~$2 input / ~$12 output per million tokens
• Grok 4: API token price not published. SuperGrok/X Premium+ subscription is $8 to $40/month
• Directional reference: Grok 4.3 (a later release) is priced at $1.25 input / $2.50 output per million tokens

→ Compare per-token pricing for every AI model

Grok 4 vs Gemini 3 Benchmarks: What's Actually Published

Neither xAI nor Google has published a same-day, apples-to-apples benchmark suite pitting Grok 4 directly against Gemini 3 Pro. Treat any comparison here as directional rather than a verified head-to-head.

The most recent published reference points on SWE-bench Verified, a widely cited coding benchmark, include four figures. Claude Opus 4.8 scores about 88.6%, GPT-5 about 74%, Grok 4 about 75%, and Gemini 2.5 Pro, the prior Gemini generation, about 71%. Google has not published a directly comparable Gemini 3 Pro SWE-bench Verified score in the sources reviewed for this page. Treat these figures as directional across generations, not a matched test.

Until both vendors publish a matched, same-generation benchmark run, the more reliable signal is a short pilot on your own tasks: coding, research, or drafting representative of your real workload.

• Grok 4: ~75% on SWE-bench Verified.
• Gemini 2.5 Pro (prior Gemini generation): ~71% on SWE-bench Verified.
• No directly comparable Gemini 3 Pro SWE-bench Verified score was found in the sources reviewed for this page.
• Reference points for context: Claude Opus 4.8 ~88.6%, GPT-5 ~74%.

Compliance: Both Publish an Enterprise Path, Details Differ

xAI states Grok 4 is SOC 2 Type 2 compliant. It also offers a Zero Data Retention (ZDR) option for enterprise accounts, where prompts and responses are not stored after the reply is delivered. For healthcare data, a signed Business Associate Agreement (BAA) is available on request through xAI's questionnaire, alongside the ZDR-enabled API. It is not automatic.

Gemini 3 Pro runs on Google's established enterprise stack via Vertex AI, with regional data residency. It is positioned as SOC 2, ISO, and HIPAA-eligible depending on the specific agreement. Confirm the current certifications and BAA terms directly on Vertex AI's own site before sending regulated data to either model.

• Grok 4: xAI-stated SOC 2 Type 2, Zero Data Retention option, BAA on request
• Gemini 3 Pro: Google Cloud/Vertex AI enterprise stack, regional data residency, SOC 2/ISO/HIPAA-eligible
• Neither model's regulated-data path is automatic. Both require the enterprise agreement, not the consumer product

How to Choose Between Grok 4 and Gemini 3

Choose Grok 4 if your workflow leans on real-time web or X data: brand monitoring, current-events research, or social listening. You should also already be inside the xAI ecosystem or need its specific tool-use pattern.

Choose Gemini 3 Pro if you need a large context window for long documents or codebases, predictable published pricing, or deep integration with Google Workspace and Vertex AI.

If you are starting from scratch rather than maintaining an existing Grok 4 integration, evaluate xAI's current flagship instead: see Grok 4.6 vs Gemini 3 for the up-to-date matchup.

• Pick Grok 4: real-time web/X search, code execution, existing xAI integration
• Pick Gemini 3 Pro: long-context work, published pricing, Google Workspace/Vertex AI fit
• Starting fresh: compare Gemini 3 against Grok 4.6, xAI's current flagship, instead

Who Neither Model Fits Well

Gemini 3 Pro is a poor fit for a team with no existing Google Cloud or Workspace footprint and no plan to build one. Its enterprise compliance path runs through Vertex AI. A team that wants a single API key and a plain monthly invoice, with no cloud console to manage, will find the setup heavier than it needs.

Grok 4 is a poor fit for a team that needs airtight compliance guarantees on day one. Its enterprise paperwork exists, but it is thinner in the public materials reviewed here than Anthropic's or Google's. A healthcare or financial-services buyer that cannot tolerate ambiguity should default to a vendor with a longer public compliance track record instead.

Neither model is the right starting point for a team that only needs occasional, low-volume drafting help. A lower-cost general chat plan covers that case without the API integration work either model requires.

What Would Change This Verdict

This verdict would flip if xAI published a clear per-token API rate and a fuller public compliance package for Grok 4 specifically. The pricing and documentation gap is the main reason Gemini 3 Pro reads as the safer default here, and closing that gap removes the reason.

It would also flip on a workload where Grok 4's published SWE-bench Verified score, about 75%, beats what you measure from Gemini 3 Pro on your own coding tasks. Coding capability is the axis most buyers weigh heaviest, so a workload-specific win for Gemini 3 Pro or a loss against Grok 4 should move your pick.

If your workload genuinely depends on live X-platform data, tracking a specific hashtag or monitoring a competitor's account in real time, no other model here matches Grok 4's native access. That single requirement can outweigh every other factor in this comparison.

How to use Grok 4 and Gemini 3

You do not run hosted models like Grok 4 and Gemini 3 on your own hardware — you reach them through a tool, and the same one can usually drive both. Picking that tool is most of the setup.

The fastest way to put Grok 4 and Gemini 3 to work day to day is inside an AI IDE, and Cursor is the most popular — it supports both directly, so you can be working in minutes. The maker's own option is Antigravity for Gemini 3, if you want the native experience. Prefer a different editor? Windsurf, Zed, and GitHub Copilot drive these models too.

The Verdict

Gemini 3 Pro is the stronger default for most businesses today: a published rate card, an 8x larger context window, and an established enterprise compliance stack through Vertex AI.

Grok 4 still earns its keep for a narrower job: real-time web and X-data search paired with native code execution. But it is xAI's original release from July 2025, and three newer Grok versions (4.3, 4.5, 4.6) have shipped since. If you are not already committed to Grok 4, evaluate the current-generation Grok 4.6 against Gemini 3 instead.

Not sure which generation of either model actually fits your workload? A short pilot on your own tasks beats any benchmark table for a real decision.