Compare AI models

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.
—$0.30
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.
—$2.50
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.
—$0.03
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.
$0.2088GMICloud$0.15Google AI Studio
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.3096GMICloud$1.25Google AI Studio
$57.24GMICloud · fp8$185Google list price
Benchmarks
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better.
13%19%
Overview
CompanyDeepSeekGoogle
Release dateDec 1 2025Apr 17 2025
AccessOpen WeightClosed
Model detailsView modelView model

Frequently asked questions

Gemini 2.5 Flash leads DeepSeek-V3.2 on 1 of the 1 benchmark they both report (BullshitBench v2). Only Gemini 2.5 Flash has a verified first-party API price: $0.30 per million input tokens and $2.50 per million output tokens. No pay-as-you-go API rate is tracked for DeepSeek-V3.2. Gemini 2.5 Flash shipped 228 days before DeepSeek-V3.2, so benchmark comparisons should account for the intervening progress.

DeepSeek-V3.2 is open weight, while Gemini 2.5 Flash is closed.

On BullshitBench v2, Gemini 2.5 Flash leads at 19% vs DeepSeek-V3.2 at 13%.