Gemini 1.5 Pro vs Gemini 1.5 Flash

1. Breakthrough long-context window up to 1,000,000 tokens

• Can process 1 hour of video, 11 hours of audio, 700k+ words, or 100k+ lines of code in a single prompt.
• Supports advanced retrieval, reasoning, summarization, and cross-document tasks.
• Achieves 99% retrieval accuracy on 1M-token Needle-In-A-Haystack tests.

2. Strong multimodal reasoning across video, audio, images, and text

• Can analyze long videos (e.g., full silent films), track events, infer causality, and identify small details.
• Handles large complex documents like manuals, transcripts, and books.

3. High-performance reasoning and problem solving

• Comparable to Gemini 1.0 Ultra across many benchmarks.
• Excels at code reasoning, multi-step explanations, and large-scale codebase analysis.

4. Advanced code understanding and generation

• Performs problem-solving on codebases exceeding 100,000 lines.
• Capable of cross-file reasoning, debugging guidance, API comprehension, and generating structured code improvements.

5. Efficient Mixture-of-Experts (MoE) architecture

• Activates only relevant expert pathways per input.
• Enables faster training, lower latency, and more efficient serving.
• Dramatically improves scalability and inference speed.

6. Exceptional in-context learning capabilities

• Learns new tasks directly from long prompts without fine-tuning.
• Demonstrated by learning to translate a low-resource language (Kalamang) from a grammar manual.

7. High-fidelity multimodal understanding

• Reads, analyzes, and reasons about long PDFs, code repositories, images, and videos together.
• Enables new classes of applications: legal analysis, scientific review, codebase audits, long-form content generation, etc.

8. Safety and reliability first

• Undergoes extensive ethics, safety testing, and red-teaming.
• Improved representational safety and reduced hallucinations compared to previous generations.

9. Available for developers and enterprises

• Accessible via AI Studio and Vertex AI.
• Supports future pricing tiers for expanded context windows.
• Designed for real enterprise-scale workloads.

10. Widely capable mid-size model

• Positioned between Gemini Pro and Gemini Ultra generations.
• Well-balanced: reasoning, multimodality, long-context, and speed.

1. Extremely fast and cost-efficient

• Designed for ultra-low latency inference.
• Handles high-throughput real-time applications and large-scale pipelines.

2. Strong multimodal capabilities

• Accepts text, images, audio, video, and PDFs.
• Efficient cross-modal understanding suitable for classification, extraction, and captioning.

3. Excellent for long-context tasks

• Supports up to 1M tokens, enabling analysis of long documents, transcripts, and entire codebases.
• Performs well on long-context translation and summarization.

4. Optimized for production workloads

• Low operational cost and fast inference make it ideal for enterprise automation.
• Great for chatbots, customer support systems, and background agent tasks.

5. High throughput with scalable rate limits

• Flash variants support extremely high RPM for high-traffic environments.

6. Reliable performance on everyday tasks

• Good at chat, rewriting, transcription, extraction, and structured reasoning.
• More efficient than Pro for tasks that don't require deep reasoning.

7. Ideal for multimodal high-volume apps

• Strong performance on captioning, OCR-style extraction, audio transcription, and video understanding.

8. Designed for developer workflows

• Supports function calling, structured output, and integration with the Gemini API and Vertex AI.