GPT-4o — API Pricing & Benchmarks
GPT-4o is OpenAI's previous-generation model, released in 2024-05. The API costs $2.50 per 1M input tokens and $10.0 per 1M output tokens ($4.38 blended at a 3:1 ratio), with cached input at $1.25. It supports a 128K-token context window. On the independently measured Artificial Analysis Intelligence Index it scores 12.3, ranking #64 of 68 models tracked on this site.
Explore provider routes and additional benchmark sources for GPT-4o
| Provider | OpenAI |
| Input price / 1M tokens | $2.50 |
| Output price / 1M tokens | $10.0 |
| Cached input / 1M tokens | $1.25 |
| Blended price (3:1) | $4.38 |
| Context window | 128K |
| Max output tokens | 16K |
| Knowledge cutoff | 2023-10 |
| License | proprietary |
| Input modalities | T+I |
| Output speed (tok/s) | — |
| Released | 2024-05 |
| Artificial Analysis Intelligence Index | 12.3 |
| GPQA Diamond | 65.5% |
| Humanity's Last Exam | 4% |
Where GPT-4o fits
On a blended 3:1 basis GPT-4o costs $4.38 per 1M tokens, cheaper than 24% of the 80 priced models in this index. It is a previous-generation model: usually only worth choosing if you have an existing integration, negotiated pricing, or need its specific behavior, since newer siblings offer better price-performance. Cached input is priced at $1.25 (50% below standard input), which rewards prompt structures with long stable prefixes — see our caching guide.
Price history
| Period | Input $/1M | Output $/1M | Cached $/1M |
|---|---|---|---|
| 2026-08-25 → current | $2.50 | $10.0 | $1.25 |
No list-price changes recorded since tracking began. Full dataset: price-history.json (CC BY 4.0).
Alternatives at a similar price
- Command A (Cohere) — $4.38/1M blended, AA Index 7.5
- GPT-5.6 Terra (OpenAI) — $4.50/1M blended, AA Index 56.6
- Gemini 3.1 Pro (Google) — $4.50/1M blended, AA Index 47.7
- Claude Sonnet 5 (Anthropic) — $4.00/1M blended, AA Index 55.3
About OpenAI
OpenAI builds the GPT series. GPT-6 Astra (September 2026) sits at the top at $10/$50, and beneath it the GPT-5.6 generation ships in three sizes — Sol, Terra and Luna — that share the same 1.05M-token context window and tooling, so teams can move workloads between price points without changing integration code.