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 | 200k |
| 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. | — | $150.00 |
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. | — | $600.00 |
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. | — | $150.00OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $600.00OpenAI |
| — | $60,000OpenAI list price | |
| Overview | ||
| Company | OpenAI | |
| Release date | Feb 15 2024 | Mar 19 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
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Gemini 1.5 Pro and o1-pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o1-pro has a verified first-party API price: $150.00 per million input tokens and $600.00 per million output tokens. No pay-as-you-go API rate is tracked for Gemini 1.5 Pro. Gemini 1.5 Pro shipped 398 days before o1-pro, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Pro) vs 200k (o1-pro).
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro and o1-pro don't publish scores on any of the same benchmarks.