Comparison

Gemini vs Grok

Gemini vs Grok in 2026 — how Google's and SpaceXAI's assistants compare on intelligence, coding, context, real-time data, multimodality, pricing and safety, and which one to choose.

Updated September 2026

Quick answer: For most people, Gemini is the better all-rounder, while Grok is the sharper pick for cheap, high-scoring reasoning and real-time data. Gemini, made by Google, runs Gemini 3.1 Pro, handles up to 1M tokens in-app, generates images and video natively (Imagen and Veo), and is woven into Google Search, Android and Workspace across roughly 900 million monthly users. Grok, now made by SpaceXAI (renamed from xAI on 6 July 2026), runs Grok 4.6 — released 12 August 2026 and scoring 44 on the re-based Artificial Analysis Intelligence Index, ahead of every Gemini model (Google’s strongest shipped model on the index, Gemini 3.8 Flash, scores 41) — and it is the only major assistant that reads live X (Twitter) data. Grok 4.6 is also cheaper on the API, at $2/$6 per million input/output tokens versus Gemini 3.1 Pro’s $2/$12. Pick Gemini for value, long context, multimodality, media generation and Google integration; pick Grok for the higher-scoring model of the two on the independent index, real-time social data and fewer content guardrails. Two caveats: Grok 4.6 ships a smaller 500K-token context and has published no SWE-bench coding figure, and Grok carries a 2026 deepfake and child-safety scandal plus far thinner enterprise compliance than Gemini.

At a glance

The models behind them

On paid tiers, Gemini runs Gemini 3.1 Pro (released 19 February 2026, with higher limits on Google AI Pro and Ultra) and Grok runs Grok 4.6 (released 12 August 2026). Grok 4.6 succeeded Grok 4.5, which launched on 8 July 2026 as SpaceXAI’s first model built specifically for coding and agentic work rather than casual chat — Elon Musk described it as an “Opus-class model” (TechCrunch). It is built on a 1.5-trillion-parameter foundation and trained partly on real Cursor coding-session data (SpaceXAI). Google’s own next flagship, Gemini 3.5 Pro, was unveiled at Google I/O on 19 May 2026 with a 2M-token context window and a Deep Think reasoning mode, but it remains unreleased after missing several targets, including a general-availability date around 17 July (Tech Times). Until it ships, Gemini 3.1 Pro is the Gemini flagship that matters for this comparison.

The context here is a company reset. SpaceX’s acquisition of xAI closed on 2 February 2026, and the company changed its name, logo and X handle to SpaceXAI on 6 July 2026 (Yahoo Finance); Grok 4.5 launched two days later as the first flagship under the new brand.

On the independent Artificial Analysis Intelligence Index, re-based as v4.3 on 7 September 2026, Grok 4.6 scores 44 — level with Kimi K3 and behind GLM-5.3 (45) and the leading OpenAI and Anthropic models (GPT-6 Astra and Claude Fable 5.1, both 53), yet still ahead of every Gemini model: Google’s strongest shipped model on the index, Gemini 3.8 Flash, scores 41. Grok 4.6’s launch score of 61, and Grok 4.5’s 54 at its July launch, were on the earlier scale and are not comparable. On the same re-based scale the Grok line has climbed fast: Grok 4.3 scores 25, Grok 4.5 39 and Grok 4.6 44. The two makers’ models are differently shaped, though. Grok 4.6 is a lean, cost-efficient reasoning model; Gemini 3.1 Pro is a broad multimodal generalist with disclosed numbers on the benchmarks it reports.

Here is how the two usable flagships compare on headline benchmarks. Grok 4.6’s index score is from Artificial Analysis, and a dash means no Grok 4.6 figure is on record; Gemini 3.1 Pro figures are Google-reported from its February 2026 launch, with independent context from Artificial Analysis. The harnesses differ, so treat cross-vendor rows as directional rather than same-harness results.

Two accuracy notes. SpaceXAI has published no SWE-bench figure for Grok 4.6. For Grok 4.5 it reported 64.7% on SWE-bench Pro alongside a token-efficiency claim — resolving SWE-bench Pro tasks in about 15,954 output tokens on average against roughly 67,020 for Claude Opus 4.8 — both vendor-run figures, not independent scores. Gemini 3.1 Pro’s numbers are vendor-reported against Google’s own harness and date from its February 2026 launch; its standardised public SWE-bench Pro placement is lower, at ~46.1%. Vendor numbers are a ceiling; standardised leaderboards are a floor.

The free tiers differ too. Gemini free runs Gemini 3.6 Flash with limited access to Gemini 3.1 Pro, while Grok free runs older Grok 4-class models rather than the Grok 4.6 flagship. For where every model ranks across the field, see best AI models.

Pricing

Gemini is cheaper in the consumer app; Grok is cheaper on the API. Google AI Pro is $19.99/month and bundles 2TB of Google One storage, Veo video generation and a 1M-token context window; Google AI Ultra is $99.99/month (cut from $249.99), adding 30TB of storage, YouTube Premium, and the Deep Think reasoning mode. Grok’s paid plans start at SuperGrok Lite at $10/month (Grok 4.6 access on Lite was not confirmed at launch), with the fuller SuperGrok at $30/month and SuperGrok Heavy at $300/month (adding the multi-agent Grok 4 Heavy). So Grok’s cheapest paid plan is $10 against $19.99 for Google AI Pro, but Gemini’s mid-tier bundles storage and media generation that Grok does not.

On the API the picture inverts on volume. Grok 4.6 costs $2/$6 per million input/output tokens, against $2/$12 for Gemini 3.1 Pro (cached input $0.20) — input is tied, but Grok’s output is half the price, so Grok is materially cheaper for output-heavy workloads. Gemini climbs on very long prompts, billing requests over 200,000 tokens at $4/$18, but Grok’s harder limit is context length: it caps at 500K tokens where Gemini handles 1M.

Neither app shows ads: the Gemini app currently shows none, and the Grok standalone app is ad-free but tied to X, which is ad-supported. For students, Gemini has a clear edge: Google AI Pro is free for a year for university students in the US, UK, Japan, Brazil and Indonesia, with no Grok equivalent.

Coding

This is the reason to consider Grok, though the evidence for its current model is thin. Grok 4.5 was built specifically for coding and agentic work: independent early testing put it roughly on par with GPT-5.5 in the Codex agent at about half the per-task cost, driven by unusually low token consumption (Artificial Analysis), and SpaceXAI reported 64.7% on SWE-bench Pro. Grok 4.6, which succeeded it in August, has published no SWE-bench figure. SpaceXAI’s efficiency claim for Grok 4.5 — resolving SWE-bench Pro tasks in ~4× fewer output tokens than Claude Opus 4.8 — is a vendor figure, but the direction is clear: Grok is a cheap, fast, capable coding line, and the low-cost Grok Code Fast variant is popular for high-volume agentic coding.

Gemini’s coding case is documented benchmarks plus context. Gemini 3.1 Pro posts 80.6% on SWE-bench Verified and 54.2% on the harder SWE-bench Pro (Google-reported), and its 1M-token in-app context lets it hold an entire codebase, long specs or hours of logs in a single prompt — twice Grok 4.6’s 500K ceiling. Grok 4.6 has not published comparable accuracy percentages, so on like-for-like disclosed coding scores Gemini is the safer known quantity, while Grok’s pitch is cost-efficiency and speed. Neither leads the field overall: Artificial Analysis’s independent Coding Agent Index is led by GPT-6 Astra and Claude Fable 5.1 (both 62), with Claude Opus 5 at 60. Full detail in best AI for coding.

Writing and reasoning

Gemini is the better general writer; Grok is the stronger raw reasoner on the aggregate index. Gemini 3.1 Pro produces clean, well-sourced first drafts for research reports, technical summaries and data-heavy documents, helped by tight grounding in real-time Google Search results, and it handles everyday prose more naturally than Grok, which SpaceXAI has positioned as a coding-and-knowledge tool rather than a casual chatbot since Grok 4.5. On graduate-level science the two lines have been effectively tied — Gemini 3.1 Pro’s 94.3% on GPQA Diamond narrowly edged Grok 4.5’s 93% (different harnesses). On the aggregate Artificial Analysis Intelligence Index, Grok 4.6 (44) leads every Gemini model, the best of which, Gemini 3.8 Flash, scores 41. For polished, grounded writing choose Gemini; for the highest composite reasoning score of the two, Grok 4.6 is ahead. For prose quality specifically, neither beats Claude.

Context, speed and multimodality

Gemini wins decisively on context and multimodality; the two are close on speed. Gemini handles 1M tokens in-app, against 500K for Grok 4.6 — the same as Grok 4.5 and down from Grok 4.3’s 1M, as SpaceXAI narrowed its newer models’ focus to coding and agentic work. On input, Gemini accepts text, images, video, audio and PDFs natively and can process up to an hour of video in a single prompt; Grok 4.6 accepts text and images only; the video input Grok 4.3 offered did not carry over. On output, both generate images and video — Gemini through Imagen / Nano Banana and Veo, Grok through Aurora and Grok Imagine (paid tiers only). Both are reasoning models with fast sustained output, though Grok’s reasoning modes can be slow to first token. For long documents, whole codebases and multimodal work, Gemini is the clearer tool.

Features and ecosystem

Gemini has the broader consumer and enterprise ecosystem; Grok has real-time X data and a looser personality. Gemini is woven into products billions already use — Search, Android, Chrome and Google Workspace (Gmail, Docs, Sheets, Slides) — and the app passed 900 million monthly active users by mid-2026, second only to ChatGPT. It ships an agentic browser (Project Mariner), custom assistants (Gems), the Deep Research agent and bundled Google One storage.

Grok’s two genuine differentiators are real-time data and voice companions. Grok can read live X posts, trends and sentiment — which no rival accesses directly — and its DeepSearch agent returns cited research reports in under a minute. It offers persistent voice companions (the animated characters Ani and Valentine) with no Gemini equivalent, and it applies fewer content guardrails. But Grok has a far smaller integration ecosystem, no deep productivity-suite tie-in, and its reach outside X and Tesla is limited. If your day runs through Gmail, Docs and Android, Gemini removes friction Grok cannot match; if you need live social data or a less-filtered assistant, Grok is the only option here.

Privacy, safety and data

For consumer tiers, both providers may use your conversations to train their models by default, with an opt-out in settings; for business, enterprise, Workspace and API use, both contractually exclude training by default. Beyond the defaults, the gap is wide. Gemini is unusually well credentialed for enterprise and public-sector work: Google was among the first to certify an AI product to ISO 42001, and Gemini also carries SOC 1/2/3, FedRAMP High, HIPAA and FERPA coverage, with a default 18-month data retention that is configurable.

Grok’s safety record is the standing concern. Grok generated significant controversy in 2026 over deepfake and child-safety incidents that led xAI to restrict image generation, and it holds far fewer enterprise certifications than Gemini. Commentators noted that the SpaceXAI rebrand ties a major corporate brand more tightly to a product with an unusually troubled safety history (Gizmodo). For regulated industries, government use or anything genuinely sensitive, Gemini’s compliance footprint makes it the safer institutional choice; use a business tier regardless of which you prefer.

Choose Gemini if…

• You want the best value and the broadest capability — a $19.99 plan that bundles 2TB of storage, native image and video generation, and a 1M-token context window.
• You work across long documents, whole codebases or multimodal input (video, audio, PDFs), or need image and video generation in the same app.
• You live in Google Workspace, Android and Search, need enterprise compliance (ISO 42001, FedRAMP High, HIPAA), or are a student eligible for a free year of Google AI Pro.

Choose Grok if…

• You want the higher-scoring model of the two — Grok 4.6 scores 44 on the re-based Artificial Analysis Intelligence Index, ahead of every Gemini model (best: 41) — from a cheap, token-efficient model line.
• You need real-time X (Twitter) data, cited DeepSearch reports, or the cheapest output-heavy API ($2/$6 per million tokens).
• You want voice companions or a less-filtered assistant, and you do not need a 1M-token context or deep enterprise compliance.

Frequently asked questions

Is Gemini or Grok better?

It depends on the job. Gemini is the better all-rounder — it runs Gemini 3.1 Pro, handles up to 1M tokens in-app, generates images and video natively, plugs into Google Search, Android and Workspace, and carries deep enterprise compliance. Grok runs the newer Grok 4.6, which scores 44 on the re-based Artificial Analysis Intelligence Index (ahead of every Gemini model, the best of which scores 41), is cheaper on the API and uniquely reads live X data. For value, multimodality and integration, choose Gemini; for the higher composite reasoning score, real-time data and lower guardrails, choose Grok.

Is Gemini or Grok cheaper?

It depends where. In the consumer app, Grok’s paid plans start at $10/month (SuperGrok Lite) versus $19.99 for Google AI Pro, so Grok’s on-ramp is cheaper — but Gemini bundles 2TB of storage and media generation at that price. On the API, Grok 4.6 is $2/$6 per million input/output tokens versus $2/$12 for Gemini 3.1 Pro, so Grok is about half the price for output-heavy workloads. Gemini is also free for a year for eligible students, which Grok does not match.

Which is better for coding?

They are close on the evidence available, and coding is the strongest reason to consider Grok. Its case rests on its predecessor: Grok 4.5 was built for coding, tested roughly on par with GPT-5.5 in Codex at about half the per-task cost, and reported 64.7% on SWE-bench Pro (vendor); Grok 4.6 has published no SWE-bench figure. Gemini 3.1 Pro has the documented benchmark scores (80.6% SWE-bench Verified, 54.2% SWE-bench Pro) and twice the context (1M vs 500K), which helps on whole-repo work. For the strongest coding overall, GPT-6 Astra and Claude Fable 5.1 share the top of Artificial Analysis’s independent Coding Agent Index. See best AI for coding.

Which has the bigger context window?

Gemini. Gemini handles up to 1M tokens in-app, whereas Grok 4.6 caps at 500K tokens — down from Grok 4.3’s 1M. For very long documents and codebases, Gemini has the clear edge.

Does Grok have real-time data that Gemini doesn’t?

Yes. Grok can read live X (Twitter) posts, trends and sentiment directly, which Gemini cannot — Gemini grounds answers in Google Search results but does not read individual X posts as they are published. Grok’s DeepSearch agent also returns cited reports in under a minute. For live social data and breaking-news monitoring, Grok has a genuine moat.

Is Grok 4.6 better than Gemini 3.1 Pro?

On the aggregate Artificial Analysis Intelligence Index, yes — Grok 4.6 scores 44 on the re-based v4.3 index, ahead of every Gemini model, including Gemini 3.1 Pro (Google’s best, Gemini 3.8 Flash, scores 41). But “better” depends on the task: Gemini 3.1 Pro has a larger 1M-token context, fuller native multimodality, image and video generation, and documented coding benchmarks, while Grok 4.6 leads on composite reasoning score, API cost and real-time data.

Which is better for images and video?

Both generate images and video, but Gemini is the stronger media tool. Gemini generates images with Imagen / Nano Banana and video with Veo, one of the best video generators available, and accepts video and audio as input. Grok generates images with Aurora and short video with Grok Imagine on paid tiers, but its media suite is narrower. If media generation matters, Gemini leads.

Is Grok safe for sensitive or enterprise use?

Gemini is the safer institutional choice. Gemini carries ISO 42001, SOC 1/2/3, FedRAMP High, HIPAA and FERPA coverage, whereas Grok holds far fewer enterprise certifications and was involved in 2026 deepfake and child-safety incidents that led to image-generation restrictions. For regulated industries, government or genuinely sensitive work, Gemini’s compliance footprint makes it the stronger pick; use a business tier in either case.