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LLM ComparisonGPT-5.2Gemini 3 Pro

GPT-5.2 vs Gemini 3 Pro

Compare GPT-5.2 and Gemini 3 Pro. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.2Gemini 3 Pro
ProviderOpenAIGoogle
Model Typetexttext
Context Window400,000 tokens1,000,000 tokens
Input Cost
$1.75/ 1M tokens
$4.00/ 1M tokens
Output Cost
$14.00/ 1M tokens
$18.00/ 1M tokens

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Strengths & Best Use Cases

GPT-5.2

OpenAI

1. Advanced Reasoning for Diverse Domains

  • Built to tackle coding and agentic workflows across multiple industries, with configurable reasoning support.

2. Multi-Modal & Long-Form Capabilities

  • Handles both text and image inputs, producing text output.
  • Allows up to 128 k output tokens for lengthy responses.

3. Large Context & Updated Knowledge

  • 400 k token context window accommodates extensive codebases or documents.
  • Knowledge cut-off of Aug 31 2025 keeps it current with recent developments.

Gemini 3 Pro

Google

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.

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