Google Gemini Flash Latest
Google · released Apr 27, 2026
- Type
- Proprietary
- Input
- $0.30
- Output
- $2.50
- Cached
- Not published
List price · per 1M tokens · Google AI at 1M context · source ↗
Our take
Written Aug 2, 2026Google Gemini Flash Latest is a lightweight multimodal model that can handle up to one million tokens in a single request. It accepts text, images, files, audio and video together, though no benchmark scores are available to verify its quality.
Choose this for long-document workflows where a one-million-token request limit matters, or for native multimodal input across audio, video and files without format conversion. Use the direct Google route rather than OpenRouter for the same model at a lower tier. Skip it if you need verified quality scores, if output costs need to stay low, or if you want to download and self-host the weights.
The case for it
- One-million-token request limit — four times the 262,144 tokens of Gemma 4B A4B in our data.
- Accepts text, images, files, audio and video simultaneously, the broadest modality mix in this snapshot.
- Direct Google hosting sits at a lower tier than the alternative route for the same model.
The case against it
- No benchmark scores recorded; chat, reasoning and coding performance are unverified in our data.
- Output pricing on Google sits at a premium tier with no cheaper option available.
- Total and active parameters are both 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 Flash 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
- $0.30 in / $2.50 out
- Context served
- 1M
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| Google AI | $0.30 / $2.50 | 1M66K out | not measured | Unknown | Unknown | Unknown |
| OpenRouter | $1.50 / $7.50 | 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-flash-latest