Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-5
o1
Cost Differences
o1 costs more than GPT-5
Feature Comparison
| Feature | GPT-5 | o1 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.25/1M tokens | $15.00/1M tokens |
| Output Price | $10.00/1M tokens | $60.00/1M tokens |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Max Output | 131,072 tokens | 65,536 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionaudiocode | textreasoning |
| Release Date | 8/7/2025 | 9/12/2024 |
GPT-5 vs o1: Which Should You Choose?
Choosing between GPT-5 and o1 depends on your priorities: cost efficiency, context length, or raw capability. GPT-5 is the more affordable option at $1.25/1M input tokens — 92% cheaper than o1. Meanwhile, GPT-5 offers a significantly larger context window at 1,000,000 tokens vs 200,000 for o1.
These models target different tiers: GPT-5 is a flagship model while o1 is reasoning. This means they're optimized for different workloads. GPT-5 is built for complex tasks that require deeper reasoning, while o1 offers better value for routine operations.
Output costs matter too. GPT-5 charges $10.00/1M output tokens vs $60.00 for o1. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5 has the edge here at $10.00/1M output tokens.
Multimodal capabilities: GPT-5 supports vision (image inputs) while o1 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-5 when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, audio, code)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Choose o1 when:
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5 (OpenAI)
o1 (OpenAI)
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