Gemini 2.5 Flash Lite
Google · released Jul 22, 2025
- Type
- Closed
- Input
- $0.10
- Output
- $0.40
- Cached
- None held
List price · per 1M tokens · Google AI at 1M context · machine-readable source ↗
Our take
Written Sep 2, 2026Gemini 2.5 Flash Lite is a proprietary multimodal model from Google that handles up to one million tokens in a single request across text, images, files, audio and video. Its tiered pricing lets you trade speed for cost on the same platform, though no benchmark scores are available to confirm its quality claims.
Pick this for long-context document and media analysis at one million tokens, or budget-conscious batch work where lower throughput is acceptable. Use the faster tier when speed matters more than absolute cost. Skip it if you need measured quality data, want to self-host, or require a disclosed parameter count to assess efficiency.
The case for it
- One-million-token request limit, among the largest disclosed here.
- Handles text, images, files, audio and video in a single model.
- Three tiers on one provider let you choose between cost and speed: throughput ranges over 3× with matching price scaling.
The case against it
- No benchmark scores in our data — chat, reasoning, coding and multimodal capabilities all unverified.
- Proprietary weights with no disclosed licence; cannot self-host or fine-tune independently.
- Parameter count undisclosed, so efficiency claims and compute-cost comparisons are impossible.
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 the cheapest at this context. The strip above and this offer are the same one, compared at 1M of context. One cheaper row below is outside that comparison: a non-standard pricing tier.
- per 1M tokens
- $0.10 in / $0.40 out
- Context served
- 1M
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| Google AI Studioflex tierThrough OpenRouter | $0.050 / $0.20checked 2 hours ago | 1M66K max reply | 62 tok/s | No | Yes55 days | Unknown |
| Google AIDirect | $0.10 / $0.40checked 2 hours ago | 1M66K max reply | not measured | Unknown | Unknown | Unknown |
| Google Vertex AIThrough OpenRouter | $0.10 / $0.40checked 2 hours ago | 1M66K max reply | 65 tok/s | No | No | Confirmed |
| OpenRouterOpenRouter's own listing | $0.10 / $0.40checked 2 hours ago | 1M | not measured | Unknown | Unknown | Unknown |
| Google AI StudioThrough OpenRouter | $0.10 / $0.40checked 2 hours ago | 1M66K max reply | 184 tok/s | No | Yes55 days | Unknown |
| Google Vertex AIeuThrough OpenRouter | $0.10 / $0.40checked 2 hours ago | 1M66K max reply | 108 tok/s | No | No | Confirmed |
| Google AI Studiopriority tierThrough OpenRouter | $0.18 / $0.72checked 2 hours ago | 1M66K max reply | 178 tok/s | No | Yes55 days | Unknown |
Across the 7 listings we hold: 5 say they do not train on prompts, 0 say they do and 2 do not say. 2 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 |
|---|---|---|---|
| Google AI StudioflexThrough OpenRouter | ✓ | ✓ | ✓ |
| Google AIDirect | |||
| Google Vertex AIThrough OpenRouter | ✓ | ✓ | ✓ |
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Google AI StudioThrough OpenRouter | ✓ | ✓ | ✓ |
| Google Vertex AIeuThrough OpenRouter | ✓ | ✓ | ✓ |
| Google AI StudiopriorityThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 6 of 7 listings say yes, 1 publishes no parameter list. JSON output: 6 of 7 listings say yes, 1 publishes no parameter list. Strict schema: 6 of 7 listings say yes, 1 publishes no parameter list.
Models people weigh against Gemini 2.5 Flash Lite
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 7 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 7 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-gemini-2-5-flash-lite