GPT-4o vs GPT-5 nano
GPT-4o vs GPT-5 nano: GPT-5 nano is cheaper for input-heavy usage ($0.05/M vs $2.50/M input tokens), while GPT-4o is better for long-context tasks (128,000 tokens).
Direct answer: choose GPT-5 nano for lower token spend and choose GPT-4o 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-4o
GPT-5 nano
Cost Differences
GPT-5 nano costs less than GPT-4o
Quick Recommendation
Winner for direct API pricing: GPT-5 nano. At the default workload, GPT-5 nano saves about $21.75/month ($264.625/year) versus GPT-4o.
Feature Comparison
| Feature | GPT-4o | GPT-5 nano |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $2.50/1M tokens | $0.05/1M tokens |
| Output Price | $10.00/1M tokens | $0.40/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 16,384 tokens | 8,192 tokens |
| Category | flagship | efficient |
| Capabilities | textvisionaudio | text |
| Release Date | 5/13/2024 | 8/7/2025 |
GPT-4o vs GPT-5 nano: Which Should You Choose?
Choosing between GPT-4o and GPT-5 nano depends on your priorities: cost efficiency, context length, or raw capability. GPT-5 nano is the more affordable option at $0.05/1M input tokens — 98% cheaper than GPT-4o.
These models target different tiers: GPT-4o is a flagship model while GPT-5 nano is efficient. This means they're optimized for different workloads. GPT-4o is built for complex tasks that require deeper reasoning, while GPT-5 nano offers better value for routine operations.
Output costs matter too. GPT-4o charges $10.00/1M output tokens vs $0.40 for GPT-5 nano. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5 nano has the edge here at $0.40/1M output tokens.
Multimodal capabilities: GPT-4o supports vision (image inputs) while GPT-5 nano is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-4o when:
- • You need more capabilities (vision, audio)
- • You need longer outputs (up to 16,384 tokens)
- • You're already using OpenAI's API ecosystem
Choose GPT-5 nano when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
GPT-4o
- • Input pricing: $2.50/M tokens
- • Output pricing: $10.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Higher input cost than GPT-5 nano
- • Higher output cost than GPT-5 nano
GPT-5 nano
- • Input pricing: $0.05/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.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4o (OpenAI)
GPT-5 nano (OpenAI)
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What is the context window difference between GPT-4o and GPT-5 nano?▼
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