AI Wiki

Gemini vs ChatGPT

AI ModelsConversational AILarge Language Models
9 min read
Updated
Suggest editHistory
RawGraph

Last reviewed

Sources

14 citations

Review status

Source-backed

Revision

v1 · 1,887 words

As of July 2026, neither Gemini nor ChatGPT is universally better: they trade wins by task. OpenAI's ChatGPT, led by GPT-5.5, is ahead on coding (SWE-bench Verified 88.7%) and abstract reasoning (ARC-AGI-2 85.0%) and adds a computer-use agent, while Google DeepMind's Gemini, led by Gemini 3.1 Pro and the newer Gemini 3.5 Flash, wins on graduate-level science (GPQA Diamond 94.3%), native video and audio understanding, price, and Google Workspace integration. [1][3][4][7] Short answer: choose ChatGPT for coding, agentic automation, and the widest consumer plus Microsoft reach; choose Gemini for multimodal work, a more generous free tier, long context, and lower cost.

This page pairs the current flagships as of July 2026: OpenAI's GPT-5.5 (the top model inside ChatGPT) against Google's Gemini 3.1 Pro (the frontier reasoning model) and Gemini 3.5 Flash (the newest fast model). GPT-5.5 shipped April 23, 2026, with GPT-5.5 Instant becoming ChatGPT's free default on May 5, 2026. [2][14] OpenAI previewed a successor, GPT-5.6 (Sol, Terra, and Luna), on June 26, 2026, but as of early July it is gated to about 20 partner organizations behind a US government safety review and is not yet available inside ChatGPT. [6] On Google's side, Gemini 3.5 Pro (with a 2M context window and Deep Think) remained in limited Vertex AI preview in the second week of July, so the broadly available Pro flagship is still Gemini 3.1 Pro. [11]

Which is better at each task?

The honest verdict is split. This matrix maps common jobs to the better choice and the evidence behind it.

TaskBetter choiceWhy
Coding and agentic devChatGPT (GPT-5.5)SWE-bench Verified 88.7% vs Gemini 3.1 Pro 80.6%; native computer-use agent [4][7]
Graduate science Q&AGemini (3.1 Pro)GPQA Diamond 94.3% vs GPT-5.5 93.6% [3][7]
Abstract / fluid reasoningChatGPT (GPT-5.5)ARC-AGI-2 85.0% vs Gemini 3.1 Pro 77.1% [3][7]
Native video + audio understandingGeminiVideo, audio, and PDF are first-class inputs to the core model [10]
Long documentsTie at 1M tokensBoth flagships accept 1M input; Gemini 3.5 Pro pushes to 2M once GA [7][11]
Lowest API costGeminiGemini 3.5 Flash $1.50 / $9.00 per 1M vs GPT-5.5 $5.00 / $30.00 [5][8]
Free tierGeminiFrontier-class Flash model with generous caps; cheapest paid entry ($4.99) [13]
Productivity integrationGeminiNative in Gmail, Docs, Sheets, Slides, Meet, Android, Chrome [9]
Consumer reach + enterprise Microsoft channelChatGPTLargest standalone chatbot audience plus Microsoft Copilot / 365 [2]

How do the specs and prices compare?

Standardized spec and price table. Prices are USD per 1,000,000 tokens (standard API tier). A blank benchmark cell is "n/r" (not reported by the developer). Last verified: July 2026.

ModelDeveloperReleaseAccessContext (in / out)GPQA DiamondARC-AGI-2SWE-bench VerifiedInput $/1MOutput $/1M
Gemini 3.1 ProGoogle DeepMind2026-02Proprietary1M / 64K94.3%77.1%80.6%$2.00 (>200K: $4.00)$12.00 (>200K: $18.00)
Gemini 3.5 FlashGoogle DeepMind2026-05Proprietary1M / 64Kn/r72.1%n/r$1.50$9.00
GPT-5.5OpenAI2026-04Proprietary1M (400K in Codex)93.6%85.0%88.7%$5.00$30.00

Notes: Gemini 3.1 Pro pricing has a long-context step above 200K input tokens, and cached input is $0.20 per 1M. [8] GPT-5.5 cached input is $0.50 per 1M, and the reasoning-heavy GPT-5.5 Pro variant is $30.00 / $180.00 per 1M. [5] Gemini 3.5 Flash reports SWE-bench Pro 55.1% and Humanity's Last Exam 40.2% rather than SWE-bench Verified. [10] GPT-5.5 reports Humanity's Last Exam 41.4%. [3]

Which is better for coding?

ChatGPT leads on the standard coding benchmark. GPT-5.5 posts an OpenAI-reported SWE-bench Verified score of 88.7%, the current top result and ahead of Gemini 3.1 Pro at 80.6%. [4][7] GPT-5.5 also ships with a computer-use capability and a strong terminal and agentic story (it powers OpenAI's Codex, where it runs with a 400K context window). [3] Gemini 3.1 Pro is close behind and pairs its coding ability with a 1M-token window and native repository-scale multimodal context, and Gemini 3.5 Flash is a fast, cheap coding option (SWE-bench Pro 55.1%) for high-volume agentic loops, though Google has not published its SWE-bench Verified figure. [10] For day-to-day software work and autonomous coding agents, ChatGPT (GPT-5.5) is the stronger pick; for cost-sensitive agent fleets, Gemini 3.5 Flash is attractive.

Which is better for reasoning, math, and science?

It splits by benchmark. On GPQA Diamond (graduate-level, Google-proof science) Gemini 3.1 Pro leads at 94.3% to GPT-5.5's 93.6%. [3][7] On ARC-AGI-2, which isolates fluid, novel reasoning, GPT-5.5 is well ahead at 85.0% versus Gemini 3.1 Pro's 77.1% (and Gemini 3.5 Flash's 72.1%). [3][7][10] Both vendors report near-saturated results on competition math such as AIME, so that benchmark no longer separates them. The practical read: Gemini has a slight edge on dense factual science, while ChatGPT is stronger on abstract puzzle-style reasoning. For most research and analysis workloads the two are close enough that ecosystem and price matter more than the reasoning gap.

Which handles multimodal (video and audio) better?

Gemini is the more natively multimodal system. Its models ingest text, images, video, audio, and PDF as first-class inputs to a single model, so you can upload a video and ask about a specific moment, or feed raw audio without a separate transcription step. [10] Gemini 3.5 Flash accepts all of those inputs but outputs text only; image generation is handled by companion models such as Nano Banana and video by Google's generation stack. [10] ChatGPT (GPT-5.5) handles text and image input plus voice, generates images inline, and produces video through the separate Sora model, but it does not ingest long-form video the way Gemini's core model does. Its multimodal differentiator is action rather than perception: a computer-use agent that navigates apps and websites. Choose Gemini for understanding video and audio content; choose ChatGPT when you need an agent that operates software.

Which has the bigger context window?

The generally available flagships are tied at 1M input tokens. Gemini 3.1 Pro accepts 1M input and 64K output, Gemini 3.5 Flash is the same, and GPT-5.5 exposes up to 1M tokens on the API (400K in Codex). [3][7][10] Google will retake the lead once Gemini 3.5 Pro exits preview: it is documented at a 2M-token context window, double the current field, though it was still in limited Vertex AI preview in early July 2026. [11] For today's shipping models, treat context as a tie; if you routinely feed multi-hundred-page corpora or long video, Gemini's 1M window plus its native video handling is the more comfortable fit.

Which is cheaper?

Gemini is cheaper on both the API and consumer sides. On the API, Gemini 3.5 Flash costs $1.50 input and $9.00 output per 1M tokens, and Gemini 3.1 Pro is $2.00 / $12.00 (rising to $4.00 / $18.00 above 200K input); GPT-5.5 is $5.00 / $30.00, roughly 2.5x the Pro-tier Gemini on input and output. [5][8] On consumer plans (US, per month), Google undercuts OpenAI at the entry point: Google AI Plus is $4.99, Google AI Pro is $19.99, and Google AI Ultra is $99.99. [13] ChatGPT offers Go at $8, Plus at $20, and Pro at $200. [12] Google AI Pro matches ChatGPT Plus at about $20, but Google's $4.99 tier and its $99.99 Ultra plan both sit below OpenAI's comparable options. For price-sensitive buyers and high-volume API use, Gemini is the cheaper platform.

Which has the better free tier?

Gemini's free tier is more generous. Free Gemini users get the current fast flagship, Gemini 3.5 Flash, in the Gemini app with relatively high daily limits, while Google reserves Deep Think reasoning and higher caps for the paid Google AI Pro and Ultra plans. [13] ChatGPT's free tier defaults to GPT-5.5 Instant (which replaced GPT-5.3 Instant on May 5, 2026) but applies tighter message caps and routes only limited reasoning before nudging users to Plus. [2][14] Both give free users a genuinely capable model, but Gemini's combination of a frontier-class free Flash model and a $4.99 paid step makes it the stronger no-cost and low-cost entry.

Which has the better ecosystem?

This is the clearest strategic split. Gemini is woven through Google's products: it runs inside Gmail, Docs, Sheets, Slides, and Meet, ships on Android and in Chrome, powers Search AI features, and is available to developers via Vertex AI. [9] If your work lives in Google Workspace, Gemini is the native assistant. ChatGPT's ecosystem is anchored by the largest standalone chatbot audience and the GPT app and store, and OpenAI's models also reach enterprises through Microsoft Copilot and Microsoft 365. [2] So the ecosystem question reduces to your stack: Google Workspace favors Gemini, while a Microsoft 365 shop or a team that wants the most widely adopted consumer assistant leans ChatGPT.

Which should you choose?

  • Coding and autonomous agents: ChatGPT (GPT-5.5). Top SWE-bench Verified (88.7%) and a native computer-use agent. [4]
  • Multimodal work (video and audio understanding): Gemini. Native ingestion of video, audio, and PDF in the core model. [10]
  • Research and science Q&A: roughly even. Gemini 3.1 Pro edges GPQA Diamond (94.3%); GPT-5.5 leads ARC-AGI-2 (85.0%). [3][7]
  • Lowest cost: Gemini. Cheaper API tokens and a $4.99 entry plan. [8][13]
  • Best free tier: Gemini. Frontier-class Flash model with generous limits. [13]
  • Long context: tie today at 1M; Gemini 3.5 Pro reaches 2M once it exits preview. [7][11]
  • Ecosystem: Gemini for Google Workspace; ChatGPT for Microsoft 365 and the widest consumer reach. [2][9]

Bottom line: pick ChatGPT (GPT-5.5) if coding, agentic computer use, or Microsoft and consumer reach dominate your needs, and pick Gemini (3.1 Pro plus 3.5 Flash) if you value native video and audio, lower prices, a stronger free tier, or deep Google Workspace integration. Watch for two imminent shifts: Google's Gemini 3.5 Pro (2M context, Deep Think) leaving preview, and OpenAI's GPT-5.6 reaching ChatGPT, either of which can move these verdicts. [6][11]

References

  1. OpenAI, "Introducing GPT-5.5," April 2026. https://openai.com/index/introducing-gpt-5-5/ ↩
  2. Wikipedia, "GPT-5.5." https://en.wikipedia.org/wiki/GPT-5.5 ↩
  3. Vellum, "Everything You Need to Know About GPT-5.5," 2026. https://www.vellum.ai/blog/everything-you-need-to-know-about-gpt-5-5 ↩
  4. SWE-bench Verified leaderboard (GPT-5.5 88.7%, OpenAI-reported), 2026. https://www.vals.ai/benchmarks/swebench ↩
  5. OpenAI API Pricing. https://developers.openai.com/api/docs/pricing ↩
  6. OpenAI, "Previewing GPT-5.6 Sol: a next-generation model," June 26, 2026. https://openai.com/index/previewing-gpt-5-6-sol/ ↩
  7. Google DeepMind, "Gemini 3.1 Pro" model page. https://deepmind.google/models/gemini/pro/ ↩
  8. Google, "Gemini API pricing." https://ai.google.dev/gemini-api/docs/pricing ↩
  9. Wikipedia, "Gemini (language model)." https://en.wikipedia.org/wiki/Gemini_(language_model) ↩
  10. DigitalApplied, "Gemini 3.5 Flash: Benchmarks, Thinking and API Guide 2026." https://www.digitalapplied.com/blog/gemini-3-5-flash-benchmarks-api-guide ↩
  11. MarketScale, "Gemini 3.5 Pro Is Still in Preview Entering the Second Week of July," 2026. https://www.marketscale.com/industries/software-and-technology/gemini-3-5-pro-still-in-preview-what-enterprise-teams-evaluating-a-model-should-do-now ↩
  12. OpenAI, "ChatGPT Plans." https://chatgpt.com/pricing/ ↩
  13. Google, "Google AI Pro and Ultra" subscriptions and Google I/O 2026 pricing updates. https://gemini.google/subscriptions/ ↩
  14. TechCrunch, "OpenAI releases GPT-5.5 Instant, a new default model for ChatGPT," May 5, 2026. https://techcrunch.com/2026/05/05/openai-releases-gpt-5-5-instant-a-new-default-model-for-chatgpt/ ↩

Improve this article

Add missing citations, update stale details, or suggest a clearer explanation.

Suggest edit