Compare AI models
| Specifications | ||
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 1M | 400k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.10 | $15.00 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $0.40 | $120.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.025 | — |
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.10Azure | $15.00OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.40Azure | $120.00OpenAI |
| $40.00OpenAI list price | $9,000OpenAI list price | |
| Overview | ||
| Company | OpenAI | OpenAI |
| Release date | Apr 14 2025 | Aug 7 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
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GPT-4.1 nano and GPT-5 Pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-4.1 nano is cheaper on both input and output: $0.10 vs $15.00 per million input tokens, and $0.40 vs $120.00 per million output tokens. GPT-4.1 nano shipped 115 days before GPT-5 Pro, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (GPT-4.1 nano) vs 400k (GPT-5 Pro).
Direct benchmark comparisons are unavailable — GPT-4.1 nano and GPT-5 Pro don't publish scores on any of the same benchmarks.