Comparison
ChatGPT vs Gemini
ChatGPT vs Gemini in 2026 — how OpenAI's and Google's flagship assistants compare on intelligence, coding, writing, multimodality, pricing and privacy, and which one to choose.
Quick answer: These are the two most-used AI assistants in the world. ChatGPT is the stronger all-rounder — its flagship leads Google’s best shipped model on the independent intelligence index (53 to 41) and on the hardest coding benchmark, and it has the most mature agents and memory, and runs on the broadest platform, powered by GPT-6 Astra on every paid tier. Gemini is the better value and the better choice for long documents, native multimodality and anyone already inside Google’s ecosystem: its Pro model is Gemini 3.1 Pro, which costs a fraction as much on the API, handles up to 1M tokens in-app, and bundles 2TB of cloud storage with its $19.99 plan. Both entry paid tiers cost about $20/month. Pick ChatGPT for the strongest reasoning, coding and the widest feature set; pick Gemini for the best price-to-capability, huge context and deep Google Workspace integration. Two things to know: ChatGPT shows ads on its Free and Go tiers in a growing number of markets, including the US, UK, India and much of Europe, while the Gemini app is currently ad-free (though Google has signalled ads may reach its free tier); and Gemini’s announced next flagship, Gemini 3.5 Pro, is still unreleased after missing several release targets.
At a glance
| ChatGPT | Gemini | |
|---|---|---|
| Maker | OpenAI | |
| Paid model | GPT-6 Astra | Gemini 3.1 Pro |
| Free model | GPT-5.6 Luna (unlimited text chats) | Gemini 3.6 Flash |
| Entry price | Go $8 / Plus $20 | Google AI Pro $19.99 |
| Premium | Pro $100 / $200 | Ultra $99.99 |
| Ads | Yes — Free & Go, in a growing number of markets | No (app currently ad-free) |
| Best at | Reasoning, coding, agents, ecosystem | Value, long context, multimodal, Workspace |
| Image generation | Yes | Yes (Imagen / Nano Banana) |
| Video generation | Yes (Sora) | Yes (Veo) |
| Voice | Yes | Yes (Gemini Live) |
| Web search | Yes | Yes |
| Agents / tasks | Yes (Agent Mode, Codex) | Yes (Project Mariner) |
| In-app context | Up to ~400K tokens | Up to 1M tokens |
| Bundled storage | No | 2TB (Pro) / 30TB (Ultra) |
The models behind them
On paid tiers, ChatGPT runs GPT-6 Astra (every paid tier since 5 September 2026, succeeding GPT-5.6 Sol, which remains selectable), and the Gemini app’s Pro model is Gemini 3.1 Pro (selectable since February 2026, with higher limits on Google AI Pro and Ultra). On the independent Artificial Analysis Intelligence Index (re-based v4.3), GPT-6 Astra scores 53, while Google’s strongest shipped model on the index is Gemini 3.8 Flash on 41. Earlier in 2026 the contest was closer: GPT-5.5, ChatGPT’s paid model from April, scored 55 on the earlier scale at launch (39 on v4.3), and Gemini 3.1 Pro traded wins with it — Google said 3.1 Pro led 13 of the 16 benchmarks it evaluated at launch.
Google’s announced next flagship, Gemini 3.5 Pro, was unveiled at Google I/O on 19 May 2026 with a 2M-token context window and a built-in Deep Think reasoning mode. It is still unreleased, having missed several release targets. On 30 September 2026 Google announced Gemini 4 Argon, which scores 53 on the independent intelligence index, level with GPT-6 Astra, but is limited to vetted cyber defenders in Google’s Fairwind Program, with paid API customers and AI Ultra subscribers next and no date given. Until one of them ships, Gemini 3.1 Pro is the Gemini app’s Pro model and the one that matters for this comparison. OpenAI, by contrast, has shipped two flagships since July: GPT-5.6 Sol (9 July) and GPT-6 Astra (5 September).
The free tiers differ too. ChatGPT free runs GPT-5.6 Luna, its default since August 2026, with unlimited text chats, while Gemini free runs Gemini 3.6 Flash with limited access to Gemini 3.1 Pro (Google) — both capable, but not the top reasoning models. For where every model ranks, see best AI models.
GPT-6 Astra has no published head-to-head with Gemini 3.1 Pro on the benchmarks below, so this table records how Gemini 3.1 Pro compared with GPT-5.5, ChatGPT’s paid model from April to July 2026. GPT-5.5 is no longer ChatGPT’s flagship; its successors GPT-5.6 Sol and GPT-6 Astra score higher on the independent intelligence index (47 and 53 against GPT-5.5’s 39 on v4.3).
| Benchmark | GPT-5.5 | Gemini 3.1 Pro | Edge |
|---|---|---|---|
| SWE-bench Verified (coding) | 82.6% (independent) | 80.6% (Google) | Tie |
| SWE-bench Pro (hard coding) | 58.6% | 54.2% | GPT-5.5 |
| GPQA Diamond (science) | 93.6% | 94.3% | Tie |
| ARC-AGI-2 (abstract reasoning) | 85.0% | 77.1% | GPT-5.5 |
| Context window (API) | ~1.05M tokens | 1M tokens | Tie |
| API price (input / output, per 1M) | $5 / $30 | $2 / $12 | Gemini |
SWE-bench Verified figures are not strictly like-for-like — GPT-5.5’s 82.6% is an independent measurement (vals.ai) while Gemini 3.1 Pro’s 80.6% is Google-reported — but they put the two within two points on standard coding. A widely repeated “88.7%” SWE-bench Verified figure for GPT-5.5 is not from any independent evaluator and should not be relied on.
Pricing
Both land near $20/month for the entry paid tier: ChatGPT Plus is $20 and Google AI Pro is $19.99. ChatGPT adds a cheaper $8 Go tier below Plus, so it has the lower paid entry point. Gemini answers with bundling: Google AI Pro includes 2TB of Google One storage, Veo video generation and a 1M-token context window, which makes it strong value if you would pay for cloud storage anyway.
At the top end, ChatGPT Pro is $100, $200 or $500/month (the $500 plan, added on 29 September 2026, carries 25x Plus usage) and Google AI Ultra starts at $99.99/month (cut from $249.99). Ultra bundles 30TB of storage, YouTube Premium and the Deep Think reasoning mode. On the API, Gemini is clearly cheaper: Gemini 3.1 Pro is $2/$12 per million input/output tokens versus $10/$50 for GPT-6 Astra — a fifth of Astra’s input price and under a quarter of its output price. Even GPT-5.6 Sol ($5/$30 list, $4/$20 on promotion to at least 21 November 2026) costs twice as much or more.
The free tiers are both genuinely useful, but they diverge on ads. Since February 2026, ChatGPT shows ads on its Free and Go tiers in a growing number of markets, including the US, UK, India and much of Europe, as labelled “Sponsored” boxes; Plus, Pro, Business and Enterprise stay ad-free. The Gemini app currently shows no ads on any tier. However, this is less of a firm commitment than a current state: Google has briefed advertisers on bringing ads to Gemini in 2026 (Adweek) and executives have suggested the free app may eventually carry them, even as Google has publicly denied firm plans (Search Engine Land). 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.
Writing and reasoning
This one splits by task. For creative and editorial writing — scripts, marketing copy, blog posts — ChatGPT is generally rated the more natural writer in 2026, with smoother phrasing and fewer structural edits on the first draft. Gemini tends to produce cleaner first drafts for research reports, technical summaries and data-heavy documents, helped by tight grounding in real-time Google Search results. If you want polished prose, lean ChatGPT; if you want a well-sourced, factual draft, Gemini is excellent.
On raw reasoning, ChatGPT has the edge. Its flagship GPT-6 Astra scores 53 on the independent intelligence index (v4.3), twelve points clear of Google’s best shipped model on that index, Gemini 3.8 Flash (41). Even ChatGPT’s previous paid model, GPT-5.5, beat Gemini 3.1 Pro on the hardest abstract tasks — 85.0% on ARC-AGI-2 versus 77.1% — while the two were effectively tied on graduate-level science knowledge, where Gemini 3.1 Pro’s 94.3% on GPQA Diamond narrowly beat GPT-5.5’s 93.6%. For most everyday reasoning you will not notice a gap; for the very hardest logic and abstraction puzzles, ChatGPT is the stronger choice.
Coding
ChatGPT leads for most production coding, but Gemini’s context is a real advantage on large codebases. GPT-6 Astra published no SWE-bench figure, but it scores 62 on the independent Artificial Analysis Coding Agent Index, level with Claude Fable 5.1. On the harder, multi-language SWE-bench Pro, GPT-5.6 Sol, still selectable in ChatGPT, scores 64.6% against Gemini 3.1 Pro’s 54.2%; even the older GPT-5.5 led (58.6%), and on SWE-bench Verified GPT-5.5 and Gemini 3.1 Pro were effectively tied (~82.6% independent vs ~80.6% Google-reported). Pair ChatGPT’s models with OpenAI’s Codex agent and you get the stronger setup for debugging, refactoring and shipping clean production code.
Gemini’s counter is whole-repo work: its 1M-token context (1M in-app, versus roughly 400K in ChatGPT) lets it hold an entire codebase, long specs or hours of logs in a single prompt, and its native multimodality helps with design-to-code and screenshot debugging. The rough rule in 2026: choose ChatGPT and Codex for production code quality, and Gemini for repo-scale analysis and multimodal front-end work. Full detail in best AI for coding.
Multimodality and media
Gemini is the more capable native multimodal model. It accepts text, images, video, audio and PDFs as input in a single prompt, where ChatGPT’s strengths are text, images and files plus real-time voice. On the output side, both apps generate media: ChatGPT produces images natively and video through Sora, while Gemini produces images through Imagen / Nano Banana and video through Veo, which is widely regarded as among the best video generators available. Both offer real-time voice — ChatGPT’s GPT-Live and Gemini Live. If your work involves feeding in long videos, audio or mixed media, Gemini is the stronger tool; if you want the tightest text-plus-image-plus-voice experience with the deepest agent tooling, ChatGPT holds up well.
Features and ecosystem
ChatGPT has the broader third-party ecosystem; Gemini has the deeper first-party one. ChatGPT is the larger platform — around 900 million weekly active users — with the widest set of integrations, custom GPTs (3M+), the most mature memory, an autonomous Agent Mode and Pro-exclusive proactive briefings (ChatGPT Pulse). If you want one app with the deepest ecosystem of add-ons, ChatGPT is the safe pick.
Gemini’s advantage is that it is woven into products billions already use — Search, Android, Chrome and Google Workspace (Gmail, Docs, Sheets, Slides). Google eliminated the separate Gemini add-on fee, so AI is now bundled into standard Workspace plans, and the app passed roughly 900 million monthly active users by mid-2026 — comparable in reach, though ChatGPT’s ~900M figure is weekly, so it remains the more heavily engaged app. It also ships an agentic browser (Project Mariner) and bundles Google One storage. If your day runs through Gmail, Docs and Android, Gemini removes friction ChatGPT cannot match.
Privacy and data
For consumer tiers, both providers may use your conversations to train their models by default, with an opt-out in settings — so the defaults are broadly similar, and anyone handling sensitive material should change those settings or move to a business tier. For business, enterprise, Workspace and API use, both contractually exclude training by default and add admin controls.
On certifications, Gemini is unusually well credentialed: Google was among the first to certify an AI product to ISO 42001 and carries SOC 1/2/3, ISO 27001, FedRAMP High, HIPAA and FERPA coverage, reflecting its enterprise and education footprint. ChatGPT holds SOC 2 Type 2 and the ISO 27001 family, offers Enterprise Key Management and data-residency options on Enterprise, and provides granular consumer controls (memory toggles, Temporary Chat). The main consumer-privacy difference today is ads: ChatGPT shows them on its lower tiers, while the Gemini app does not — for now. For anything genuinely sensitive, use a business tier regardless of which app you prefer.
Choose ChatGPT if…
- You want the strongest reasoning and hardest-task coding — GPT-6 Astra scores 53 on the independent intelligence index against 41 for Google’s best shipped model, and OpenAI’s models lead Gemini 3.1 Pro on SWE-bench Pro.
- You value the broadest third-party ecosystem, custom GPTs, mature memory and autonomous agents.
- You want the cheapest paid entry point (the $8 Go tier) and the most polished creative writing.
Choose Gemini if…
- You want the best value — a fraction of the API price and a $19.99 plan that bundles 2TB of storage.
- You work across long documents or whole codebases (1M-token context in-app) or feed in video and audio.
- You live in Google Workspace, Android and Search, or you are a student eligible for a free year of Google AI Pro.
Frequently asked questions
Is ChatGPT or Gemini better?
It depends on the job. ChatGPT is the stronger all-rounder — it leads on reasoning and hard coding, has the most mature agents and memory, and runs GPT-6 Astra on the broadest platform. Gemini is better value and better for long documents, native multimodality and Google-ecosystem users, with Gemini 3.1 Pro at a fifth of Astra’s API input price. For the widest, strongest all-round assistant, choose ChatGPT; for value, huge context and Google integration, choose Gemini.
Is ChatGPT or Gemini cheaper?
Gemini is cheaper overall. The entry paid tiers are almost identical (ChatGPT Plus $20, Google AI Pro $19.99), but Google AI Pro bundles 2TB of storage, and on the API Gemini 3.1 Pro ($2/$12 per million tokens) costs a fifth of GPT-6 Astra ($10/$50) on input and under a quarter on output. ChatGPT does have a cheaper paid entry point — the $8 Go tier — and Gemini is free for a year for eligible students.
Does ChatGPT or Gemini have the bigger context window?
Gemini, in the app. Gemini handles up to 1M tokens in-app, versus roughly 400K tokens on ChatGPT’s top tier. At the API level the gap was narrow in 2026 (GPT-5.5 offered ~1.05M, Gemini 3.1 Pro 1M), and Google’s announced but unreleased Gemini 3.5 Pro targets 2M tokens. For very long documents and codebases, Gemini has the edge.
Which is better for coding?
It is close, and it depends on the task. OpenAI’s models lead the harder SWE-bench Pro (GPT-5.6 Sol 64.6% vs Gemini 3.1 Pro 54.2%), GPT-6 Astra scores 62 on the independent Coding Agent Index, and ChatGPT paired with Codex is the stronger setup for production code. Gemini’s 1M-token context makes it better for whole-repo analysis and multimodal front-end work. Many developers use both. See best AI for coding.
Which is better for writing?
ChatGPT is generally rated the more natural writer for creative and editorial content, with fewer edits on the first draft. Gemini produces cleaner, better-sourced drafts for research and data-heavy documents thanks to real-time Google Search grounding. Pick ChatGPT for prose, Gemini for grounded factual writing.
Does Gemini show ads?
Not currently. The Gemini app shows no ads on any tier today. However, Google has briefed advertisers about bringing ads to Gemini in 2026 and executives have hinted the free app may eventually carry them, so it is not a firm ad-free commitment. ChatGPT already shows labelled “Sponsored” ads on its Free and Go tiers, in a growing number of markets, including the US, UK, India and much of Europe; its paid tiers remain ad-free.
Is Gemini 3.5 Pro out yet?
No. Gemini 3.5 Pro was announced at Google I/O on 19 May 2026 with a 2M-token context window and Deep Think reasoning, but it is still unreleased, having missed several release targets. Gemini 4 Argon, announced on 30 September 2026, is limited to vetted cyber defenders. The Gemini app’s Pro model is Gemini 3.1 Pro.
Which is better for students?
Gemini, on cost. Google AI Pro is free for a year for university students in the US, UK, Japan, Brazil and Indonesia, and it plugs directly into Docs, Gmail and Drive. ChatGPT is the stronger reasoning and writing tool but has no equivalent free student year. For most students, Gemini’s free access and Workspace integration win; for the best writing help, ChatGPT is worth the $20 (or $8 Go).