GPT-4.1 nano vs GPT-4 Turbo
GPT-4.1 nano vs GPT-4 Turbo: GPT-4.1 nano is cheaper for input-heavy usage ($0.10/M vs $10.00/M input tokens), while GPT-4.1 nano is better for long-context tasks (128,000 tokens).
Direct answer: choose GPT-4.1 nano for lower token spend and choose GPT-4.1 nano when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 nano
GPT-4 Turbo
Cost Differences
GPT-4 Turbo costs more than GPT-4.1 nano
Quick Recommendation
Winner for direct API pricing: GPT-4.1 nano. At the default workload, GPT-4.1 nano saves about $74.10/month ($901.55/year) versus GPT-4 Turbo.
Feature Comparison
| Feature | GPT-4.1 nano | GPT-4 Turbo |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $0.10/1M tokens | $10.00/1M tokens |
| Output Price | $0.40/1M tokens | $30.00/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 8,192 tokens | 4,096 tokens |
| Category | efficient | flagship |
| Capabilities | text | textvisioncode |
| Release Date | 4/14/2025 | 4/9/2024 |
GPT-4.1 nano vs GPT-4 Turbo: Which Should You Choose?
Choosing between GPT-4.1 nano and GPT-4 Turbo 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 — 99% cheaper than GPT-4 Turbo.
These models target different tiers: GPT-4.1 nano is a efficient model while GPT-4 Turbo is flagship. This means they're optimized for different workloads. GPT-4 Turbo targets more demanding workloads, while GPT-4.1 nano provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-4.1 nano charges $0.40/1M output tokens vs $30.00 for GPT-4 Turbo. 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-4 Turbo 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 need longer outputs (up to 8,192 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-4 Turbo when:
- • You need more capabilities (vision, code)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
GPT-4.1 nano
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.40/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Trade-offs are minor in this matchup.
GPT-4 Turbo
- • Input pricing: $10.00/M tokens
- • Output pricing: $30.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 4,096 tokens
Watch out for
- • Higher input cost than GPT-4.1 nano
- • Higher output cost than GPT-4.1 nano
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4.1 nano (OpenAI)
GPT-4 Turbo (OpenAI)
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Which is cheaper, GPT-4.1 nano or GPT-4 Turbo?▼
What is the context window difference between GPT-4.1 nano and GPT-4 Turbo?▼
Which model is better for AI Chatbot?▼
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