Google Gemini Pro Latest
Google · released Apr 27, 2026
- Type
- Proprietary
- Input
- $1.25
- Output
- $10.00
- Cached
- Not published
List price · per 1M tokens · Google AI at 1M context · source ↗
Our take
Written Aug 2, 2026Google Gemini Pro Latest is a hosted-only multimodal model released in April 2026 that can handle up to one million tokens in a single request. It accepts text, images, files, audio and video, though no benchmark scores or parameter details are available in our data.
Choose this when you need Google's native multimodal pipeline with a one-million-token request limit, or for long-document analysis where context length matters more than measured quality scores. Use it if you are already inside Google Cloud and want the direct pricing tier. Skip it if you need verified quality scores, if output cost is a primary concern, or if you want to run the model on your own hardware.
The case for it
- One-million-token request limit, the figure given in this model's own data.
- Accepts text, images, files, audio and video in a single model.
- Direct Google pricing is cheaper than the alternative tracked host.
The case against it
- No benchmark scores recorded — chat, reasoning, coding and multimodal performance are all unverified in our data.
- Output pricing is high, with no throughput or efficiency data to justify the cost.
- Google does not publish total or active parameter counts, so architecture and scale are undisclosed.
How good is it?
We hold no score for this model.
We look for every model we track on every board we watch, and none of them has turned up Google Gemini Pro Latest — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.
Or rent it from someone else
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
- $1.25 in / $10.00 out
- Context served
- 1M
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| Google AI | $1.25 / $10.00 | 1M66K out | not measured | Unknown | Unknown | Unknown |
| OpenRouter | $2.00 / $12.00 | 1M | 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 rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| Google AI | |||
| OpenRouter | ✓ | ✓ | ✓ |
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
Dates behind this page
Prices last checked 9d ago
What we do not know about this model yet
- No board we watch has turned up a score, so we hold no quality figures at all.
- 1 of 2 listings publish no parameter list, so what their 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.
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
Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.
Identifiers
- Modality record
- text+image+file+audio+video->text
- Catalogue slug
- google-google-gemini-pro-latest