What is Grok AI and who makes it?

Grok is built by xAI, Elon Musk's AI company. It's designed to be direct and truthful, with native access to X (formerly Twitter). Available to X Premium subscribers and to developers via API.

xAI Grok — what makes it unique among AI models?

Two things stand out: real-time X data access and the lowest measured hallucination rate (~4%) among frontier models. The first makes it unmatched for social trend analysis; the second makes it unusually reliable for factual work.

Grok vs ChatGPT — when should I use Grok?

Pick Grok when factual accuracy is the top priority, when you need real-time social data, or when you're analyzing trends on X. Pick ChatGPT when you need image generation, a broad plug-in ecosystem, or the most polished conversational experience.

Is Grok available via API?

Yes. xAI offers a developer API through the official xAI Developer Console with competitive pricing. Through Setapp AI Gateway, you can use Grok alongside other models without managing separate keys or accounts.

Does Grok have any content restrictions?

Grok is positioned as less restrictive than most frontier models — xAI favors a more permissive approach while still maintaining safety guardrails. That can be useful when you need franker, more direct outputs.

What is DeepSeek AI and who builds it?

DeepSeek is a Chinese AI research lab that builds open-weight large language models. It launched in 2023 and gained attention when its V4 and R1 models competed with the best proprietary alternatives at a fraction of the training and inference cost. Model weights are published, so anyone can verify and self-host.

DeepSeek reasoning model vs chat model — which should I use?

For general-purpose tasks such as writing, coding, and summarization, choose DeepSeek's standard chat model. For mathematical reasoning, complex analysis, and multi-step problem solving, use one of its reasoning models. The exact model names may change over time, but this distinction remains the same.

DeepSeek vs ChatGPT — is DeepSeek really competitive?

DeepSeek is widely considered one of the strongest open-weight AI models available today and performs competitively with leading proprietary models across coding, reasoning, and language tasks. ChatGPT offers a broader ecosystem, including web search, image generation, custom GPTs, and additional productivity features. DeepSeek's key advantage remains its excellent price-to-performance ratio for API-based workloads.

Is it safe to use DeepSeek's cloud API for sensitive data?

DeepSeek's cloud services are operated by a company subject to PRC laws. If your project involves sensitive business or personal data, self-hosting the open-weight models on your own infrastructure provides greater control over privacy, security, and compliance.

Can I run DeepSeek models locally?

Yes. Download the weights and run them through Ollama, vLLM, or any compatible framework. Quantized versions work on consumer GPUs; full-precision models need enterprise hardware. Self-hosting means zero per-token costs, no rate limits, and full data control.

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Grok vs DeepSeek

Grok

xAI

DeepSeek

Grok vs DeepSeek — benchmark comparison

Pick the exact versions you want to compare and see benchmark scores side by side. Data refreshes daily.

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AI model comparison across key benchmarks

Pick any two models and see how they stack up on the metrics that actually matter, side by side.

Model A

Provider

Model

Model B

Provider

Model

Metric

Grok 4.20 Beta1

DeepSeek V4 Pro

Arena Score

Community rating from LMArena, where users blindly vote on responses from two models. Higher scores mean the model wins more head-to-head matchups in real prompts.

1,474.6

1,458.1

Arena rank

Position on the LMArena overall leaderboard. Lower is better.

#38

#65

Votes

Number of blind head-to-head votes behind the score. More votes mean a more stable rating.

27,690

56,906

Context window

How much text the model can process in a single request, measured in tokens. Larger windows fit longer documents, bigger codebases, and more back-and-forth history.

1M tokens

Input price

Cost per million input tokens — the text you send to the model, including prompts, documents, and prior conversation.

$1.25 / 1M

$0.66 / 1M

Output price

Cost per million output tokens — the text the model generates in response. Usually priced higher than input.

$2.50 / 1M

$1.98 / 1M

License

Proprietary models are available only through the vendor; open-weight models can be self-hosted.

Proprietary

Open-weight

Data source: LM Arena (CC BY 4.0) · Last updated: 9 Nov 2026 Scores normalised for display

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Other matchups you might want

Other comparisons involving Grok and DeepSeek — same benchmarks, different pairs.

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