Google Gemini Pro Latest
Google · released Apr 27, 2026
- Type
- Closed
- Input
- $2.00
- Output
- $12.00
- Cached
- None held
List price · per 1M tokens · Google AI at 1M context · machine-readable source ↗
Our take
Written Sep 24, 2026Google Gemini Pro Latest is a hosted-only model, so using it means choosing a host rather than downloading anything. Nothing in our data measures how good its answers are, which leaves its very large request capacity and its price as the reasons to consider it.
Reach for it when a single request has to carry a long document alongside images, audio or video, and splitting the material up would be the real cost. It suits teams already inside Google's ecosystem, or anyone who would rather reach it through OpenRouter, since both listed offers carry the same rate. Skip it if you need measured evidence of coding, reasoning or chat quality, or if you need to run the model on your own hardware.
The case for it
- One request can carry a lot of material, so long documents need not be split up first and reassembled afterwards.
- Text, images, files, audio and video all go in together, so a recording, a scan and a question can arrive in the same request.
- The two listed offers are priced identically, so the choice between Google and OpenRouter is not a price decision.
The case against it
- No benchmark scores are supplied, so quality has to be judged on your own work rather than on any figure we hold.
- Neither listed host carries a measured speed, so a large request capacity says nothing about how long a long request will take.
- Our data carries no licence for it, so what you may do with its output is not something this page can tell you.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 2 hours ago — each listing carries its own date.
Google AI, direct
The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Google AI on 1M of context.
- per 1M tokens
- $2.00 in / $12.00 out
- Context served
- 1M
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $2.00 / $12.00checked 2 hours ago | 1M | not measured | Unknown | Unknown | Unknown |
| Google AIDirect | $2.00 / $12.00checked 2 hours ago | 1M66K max reply | not measured | Unknown | Unknown | Unknown |
OpenRouterAcross the 2 listings we hold: 0 say they do not train on prompts, 0 say they do and 2 do not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Google AIDirect |
Tool calling: 1 of 2 listings says yes, 1 publishes no parameter list. JSON output: 1 of 2 listings says yes, 1 publishes no parameter list. Strict schema: 1 of 2 listings says yes, 1 publishes no parameter list.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- 1 of 2 listings publishes no parameter list, so what its API accepts is unknown to us.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 2 of 2 listings do not say whether they train on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images, audio, video and documents in, text out
- Catalogue slug
- google-google-gemini-pro-latest