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GPT-5 Pro vs Gemini 3 Pro

Compare pricing, context windows, and strengths for GPT-5 Pro by OpenAI and Gemini 3 Pro by Google - and see how to put either to work in Appaca.

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GPT-5 Pro

A premium GPT-5 variant that uses more compute to deliver consistently smarter, more precise reasoning for the toughest problems.

View GPT-5 Pro
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Gemini 3 Pro

Google's most intelligent multimodal model designed for advanced reasoning, coding, and agentic tasks.

View Gemini 3 Pro

GPT-5 Pro vs Gemini 3 Pro at a glance

Specs and pricing side by side, from the Appaca AI models directory.

Spec GPT-5 Pro Gemini 3 Pro
Provider OpenAI Google
Model type Text Text
Context window 400K tokens 1M tokens
Input price $15 / 1M tokens $4 / 1M tokens
Output price $120 / 1M tokens $18 / 1M tokens
Status Current Superseded by Gemini 3.1 Pro
Key differences

How GPT-5 Pro and Gemini 3 Pro differ

What the numbers mean in practice when choosing between GPT-5 Pro and Gemini 3 Pro.

  • Gemini 3 Pro is 73% cheaper on input tokens ($4 vs $15 per million), which adds up quickly in document-heavy workloads.

  • Gemini 3 Pro is 85% cheaper on output tokens ($18 vs $120 per million) - the bigger factor for tools that generate long documents.

  • Gemini 3 Pro's 1M tokens context window is roughly 2.5x larger than GPT-5 Pro's 400K tokens, so it can work across bigger codebases, contracts, or archives in one pass.

  • Gemini 3 Pro has been superseded by Gemini 3.1 Pro - for new builds, consider the newer model first.

Strengths side by side

Where each model shines, according to benchmarks and provider positioning.

GPT-5 Pro

1. Highest reasoning quality in the GPT-5 family

  • Uses significantly more compute to "think harder" before responding.
  • Designed for the toughest reasoning tasks where answer quality matters more than speed.
  • Produces more precise, reliable, and detailed outputs than standard GPT-5.

2. Advanced multi-turn reasoning via Responses API

  • Available only in the Responses API to support:
    • Multi-turn internal model interactions before returning a reply.
    • Advanced control patterns (e.g., background mode for long-running jobs).
  • Ideal for complex workflows, deep planning, and multi-step analysis.

3. Configured for maximum effort by default

  • Always runs with reasoning.effort: 'high' (no lower-effort mode).
  • Prioritizes depth and correctness over latency and cost.

4. Multimodal input

  • Accepts text + image as input.
  • Outputs text, with strong instruction-following and analysis capabilities.

5. Tooling and ecosystem integration

  • Supports Web Search, File Search, and Image Generation (as tools).
  • Supports MCP and other Responses API tooling patterns.
  • Does not support Code Interpreter and does not support Computer Use, keeping focus on pure reasoning + tools.

Gemini 3 Pro

1. State-of-the-art reasoning

  • Top performance across academic reasoning, scientific knowledge, math, and complex problem-solving.
  • Excels at long-horizon, multi-step workflows and deep logical interpretation.

2. World-leading multimodal capabilities

  • Natively understands text, images, videos, audio, and code.
  • Ranked highest on benchmarks like MMMU-Pro, Video-MMMU, ScreenSpot-Pro.

3. Exceptional coding + agentic workflows

  • Strong in competitive coding and real-world agentic tasks (SWE-Bench Verified, Terminal-Bench, LiveCodeBench).
  • Improved tool calling, planning, and execution for autonomous or semi-autonomous agents.

4. Powerful for long-context tasks

  • Effective at 128K-1M context windows with high retrieval accuracy.
  • Ideal for document-heavy workflows, research, analysis, multi-file coding, and multi-document reasoning.

5. Strong information synthesis and interpretation

  • Outperforms peers in chart reasoning, OCR, structured extraction, and screen understanding.
  • Excellent at combining multimodal inputs into coherent, concise answers.

6. High reliability for enterprise tasks

  • Benchmarks show superior factuality, grounding, and parametric knowledge.
  • Strong multilingual accuracy and global commonsense performance.

7. Optimized for production agents

  • Designed for complex multi-step planning, simultaneous task execution, and improved consistency.
  • Works across coding, research, creative workflows, UI generation, and data-heavy applications.
Appaca

Use GPT-5 Pro or Gemini 3 Pro - or both

Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5 Pro or Gemini 3 Pro - connected to your real data and ready for your whole team. No code, no deployment.

Describe it, and it's built

Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-5 Pro or Gemini 3 Pro. No code, no API keys, no deployment.

Switch models without rebuilding

Start on GPT-5 Pro, test the same tool on Gemini 3 Pro, and keep whichever performs better - the rest of your app stays exactly as it is.

Automated for the whole team

Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.

Describe it, and it's built

Tell the Appaca agent what your team needs and it builds a working app powered by GPT-5 Pro or Gemini 3 Pro - connected to the tools you already use.

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FAQs

Is GPT-5 Pro cheaper than Gemini 3 Pro?

Gemini 3 Pro is generally cheaper: $4 input / $18 output per million tokens, versus $15 / $120 for GPT-5 Pro. Actual cost depends on how many tokens your workload reads and writes.

Which has the larger context window, GPT-5 Pro or Gemini 3 Pro?

Gemini 3 Pro has the larger context window at 1M tokens, compared to 400K tokens for GPT-5 Pro. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.

Should I use GPT-5 Pro or Gemini 3 Pro?

It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT-5 Pro, test the same tool on Gemini 3 Pro, and switch at any time without rebuilding anything.

Can I use GPT-5 Pro and Gemini 3 Pro without writing code?

Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-5 Pro, Gemini 3 Pro, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.

Build AI tools with GPT-5 Pro or Gemini 3 Pro

Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.