Compare GPT-4.1 Nano and Gemini 3 Pro. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 Nano | Gemini 3 Pro |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 1,000,000 tokens |
| Input Cost | $0.10/ 1M tokens | $4.00/ 1M tokens |
| Output Cost | $0.40/ 1M tokens | $18.00/ 1M tokens |
1. Ultra-Fast, Low-Latency Performance
2. Most Cost-Efficient GPT-4.1 Variant
3. Solid Instruction Following
4. Strong Tool Calling Capabilities
5. Basic Multimodal Input
6. Text-Only Output
7. 1M-Token Context Window
8. Ideal Use Cases
9. Broad API Integration
1. State-of-the-art reasoning
2. World-leading multimodal capabilities
3. Exceptional coding + agentic workflows
4. Powerful for long-context tasks
5. Strong information synthesis and interpretation
6. High reliability for enterprise tasks
7. Optimized for production agents
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Create a step-by-step negotiation plan for land deals using MAO, comps, and risk-based justifications for price reductions.
Design detailed, standards-aligned lesson plans with engaging activities, assessments, and differentiated instruction strategies.
Develop a thought leadership series that addresses persona challenges and showcases your expertise and USP.
Generate named entities and natural insertion points to improve semantic depth and topical coverage.
Convert common sales objections into underlying fears and create educational content ideas that overcome them before the sales call.
Create clear, measurable learning objectives aligned to standards using Blooms Taxonomy action verbs.
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