Gemini 2.5 Flash Lite Preview 06 17 Release Facts
Google released gemini-2.5-flash-lite-preview-06-17 on June 17, 2025. This low-cost model accepts text and image inputs with text output.
Official Release Details
The source event date is June 17, 2025. On this date, Google released gemini-2.5-flash-lite-preview-06-17 via its official API changelog. The announcement explicitly categorizes the model as a low-cost, high-performance option within the Gemini 2.5 series. The provider is identified as Google, and the model belongs to the Gemini family.
- Model identifier: gemini-2.5-flash-lite-preview-06-17
- Input modalities: Text and Image
- Output modality: Text
- Open weights status: Not confirmed
Documented Limitations and Unknowns
The available facts do not specify the context window size, maximum output tokens, or exact pricing structure. While the summary mentions 'low-cost,' no numerical price points are provided in the source material. The field for open weights is marked false, which records that open weights are not confirmed; this does not establish that local installation is impossible or that API access is mandatory. No architectural details, such as parameter counts or training data specifics, are included in the verified facts.
Practical Evaluation Procedure
Engineers can evaluate the model by designing controlled tests based on its supported modalities. First, test input processing by submitting standard text prompts and simple image files to verify basic functionality. Measure latency and token usage for these requests to establish a baseline performance profile. Compare these metrics against existing models in your stack to assess relative efficiency. Validate output consistency by running identical prompts multiple times to check for variance in text responses. Since specific benchmarks are not provided in the source, any performance conclusions must be derived from your own internal testing rather than external claims.
Primary sources
Frequently asked questions
Does the source confirm if the model supports local installation?
No. The source indicates that open weights are not confirmed. It does not state whether local installation is possible, impossible, or restricted to API-only access.
What are the known input and output capabilities?
The model accepts text and image inputs and produces text output. No other modalities are listed in the verified facts.