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LLM ComparisonGemini 1.5 ProGrok 3 Mini

Gemini 1.5 Pro vs Grok 3 Mini

Compare Gemini 1.5 Pro and Grok 3 Mini. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGemini 1.5 ProGrok 3 Mini
ProviderGooglexAI
Model Typetexttext
Context Window1,000,000 tokens131,072 tokens
Input Cost
$3.50/ 1M tokens
$0.30/ 1M tokens
Output Cost
$7.00/ 1M tokens
$0.50/ 1M tokens

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Strengths & Best Use Cases

Gemini 1.5 Pro

Google

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.

Grok 3 Mini

xAI

1. Lightweight but thoughtful reasoning

  • Designed to 'think before responding' with accessible raw thought traces.
  • Excellent for logic puzzles, lightweight reasoning, and systematic tasks.

2. Extremely cost-efficient

  • Only $0.30 per 1M input tokens and $0.50 per 1M output tokens.
  • Cached token support lowers cost to $0.075 per 1M tokens.

3. Fast and responsive

  • Optimized for low-latency applications and high-throughput use cases.
  • Suitable for chatbots, assistants, and automation flows.

4. Supports modern developer features

  • Function calling for tool-augmented workflows.
  • Structured outputs for schema-controlled responses.
  • Integrates cleanly with agents and pipelines.

5. Large 131K context window

  • Can understand and work with long documents, transcripts, or multi-turn sessions.

6. Great for non-domain-heavy tasks

  • Useful for summarization, rewriting, extraction, everyday reasoning, and app logic.
  • Does not require domain expertise to operate effectively.

7. Compatible with enterprise infrastructure

  • Stable rate limits: 480 requests per minute.
  • Same API structure as all Grok 3 models.

8. Optional Live Search support

  • $25 per 1K sources for real-time search augmentation.

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