Gemini 3 Pro vs Grok 3

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.

1. Strong enterprise-grade reasoning

• Built for deep logical reasoning, structured decision-making, and multi-step analysis.
• Performs exceptionally in domains requiring precision: law, finance, healthcare, and STEM.

2. Excellent at data extraction and summarization

• Optimized for structured extraction from documents, PDFs, tables, and complex text.
• Ideal for enterprise workflows like reporting, compliance automation, or knowledge mining.

3. High-performance coding capabilities

• Excels at code generation, debugging, refactoring, and explaining code.
• Competitive with top-tier coding models for multi-file, long-context code reasoning.

4. Supports function calling and structured outputs

• Integrates cleanly with agent frameworks and external tools.
• Predictable, schema-aligned responses suitable for production systems.

5. Large 131K context window

• Handles long documents, transcripts, contracts, codebases, or multi-document tasks.
• Useful for ingesting highly technical materials in one pass.

6. Efficient cost structure with cached token pricing

• Cached inputs: only $0.75 / 1M tokens, enabling large-scale systems.
• Encourages reuse for powerful retrieval-augmented workflows.

7. Enterprise reliability and availability

• Supported across multiple regions (us-east-1, eu-west-1).
• Consistent rate limits: 600 requests/min.
• Suitable for production-grade apps with stability requirements.

8. Supports advanced search capabilities

• Optional Live Search add-on for real-time knowledge retrieval.
• Pricing: $25 per 1K sources.