GPT-4.1 nano vs GPT-5.4 mini
Compare OpenAI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 nano
GPT-5.4 mini
Cost Differences
GPT-5.4 mini costs more than GPT-4.1 nano
Feature Comparison
| Feature | GPT-4.1 nano | GPT-5.4 mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $0.10/1M tokens | $0.75/1M tokens |
| Output Price | $0.40/1M tokens | $4.50/1M tokens |
| Context Window | 128,000 tokens | 1,050,000 tokens |
| Max Output | 8,192 tokens | 65,536 tokens |
| Category | efficient | efficient |
| Capabilities | text | textvisioncode |
| Release Date | 4/14/2025 | 3/6/2026 |
GPT-4.1 nano vs GPT-5.4 mini: Which Should You Choose?
Choosing between GPT-4.1 nano and GPT-5.4 mini depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 nano is the more affordable option at $0.10/1M input tokens — 87% cheaper than GPT-5.4 mini. Meanwhile, GPT-5.4 mini offers a significantly larger context window at 1,050,000 tokens vs 128,000 for GPT-4.1 nano.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: GPT-4.1 nano would save you roughly $810.00/month compared to GPT-5.4 mini. For startups and indie developers, that difference can be significant.
Output costs matter too. GPT-4.1 nano charges $0.40/1M output tokens vs $4.50 for GPT-5.4 mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4.1 nano has the edge here at $0.40/1M output tokens.
Multimodal capabilities: GPT-5.4 mini supports vision (image inputs) while GPT-4.1 nano is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-4.1 nano when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5.4 mini when:
- • You need a larger context window (1,050,000 tokens)
- • You need more capabilities (vision, code)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4.1 nano (OpenAI)
GPT-5.4 mini (OpenAI)
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