Gemini 3.5
Flash-Lite
Model card
Gemini 3.5 Flash-Lite — Model Card

Model Cards are intended to provide essential information on Gemini models, including known
limitations, mitigation approaches, and safety performance. Model cards may be updated from
time to time; for example, to include updated evaluations as the model is improved or revised.
See the Google DeepMind site for a comprehensive list of model cards.

Published: July 2026

Model Information

Description
Gemini 3.5 Flash-Lite is an addition to the Gemini 3 series of highly-capable, natively multimodal,
reasoning models. The model is cost-efficient and fast, optimized for high-volume,
latency-sensitive tasks like translation and classification as well as supporting agentic workflows.

Model dependencies
Gemini 3.5 Flash-Lite is based on Gemini 3.1 Flash-Lite.

Inputs
Text strings (e.g., a question, a prompt, document(s) to be summarized), images, audio, and
video files, with a token context window of up to 1M.

Outputs
Text, with a 64K token output.

Architecture
Gemini 3.5 Flash-Lite is based on Gemini 3.1 Flash-Lite. For more information about the model
architecture for Gemini 3.5 Flash-Lite, see the Gemini 3.1 Flash-Lite model card.

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Model Data

Training Dataset
Gemini 3.5 Flash-Lite is based on Gemini 3.1 Flash-Lite. For more information about the training
dataset for 3.5 Flash-Lite, see the Gemini 3.1 Flash-Lite model card.

Training Data Processing
For more information about the training data processing for 3.5 Flash-Lite, see the Gemini 3.1
Flash-Lite model card.

Implementation and Sustainability

Hardware
Gemini 3.5 Flash-Lite is based on Gemini 3.1 Flash-Lite. For more information about the hardware
for Gemini 3.5 Flash-Lite and our continued commitment to operate sustainably, see the Gemini
3.1 Flash-Lite model card.

Software
Gemini 3.5 Flash-Lite is based on Gemini 3.1 Flash-Lite. For more information about the software
for Gemini 3.5 Flash-Lite, see the Gemini 3.1 Flash-Lite model card.

Distribution

Gemini 3.5 Flash-Lite is distributed in the following channels; respective documentation shared
in line:

   ●​   Gemini App
   ●​   Google AI Studio
   ●​   Gemini Enterprise Agent Platform
   ●​   Gemini API

Our models are available to downstream providers via an application program interface (API)
and subject to relevant terms of use. There is no required hardware or software to use the

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model. For AI Studio and Gemini API, see the Gemini API Additional Terms of Service; for Gemini
Enterprise Agent Platform, see Google Cloud Platform Terms of Service. For more information,
see Gemini Model API instructions and Gemini API quickstart.

Evaluation

Approach
Gemini 3.5 Flash-Lite was evaluated across a range of benchmarks, including reasoning, coding,
agentic, multimodal capabilities, and long-context. Additional benchmarks and details on
approach, results and their methodologies can be found at:
deepmind.com/models/evals-methodology/gemini-3-5-flash-lite.

Results
Results as of July, 2026 are listed below:

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Intended Usage and Limitations

Benefit and Intended Usage
Gemini 3.5 Flash-Lite is well-suited for users, developers, and enterprises, some use cases
include: agentic workflows, coding tasks, as well as high throughput tasks like document
processing or search.

Known Limitations
Gemini 3.5 Flash-Lite may exhibit some of the general limitations of foundation models, such as
hallucinations. In addition to this, we are continually working to improve jailbreak resistance and
have recently strengthened the mitigations across Frontier Safety. There may also be occasional
slowness or timeout issues. The knowledge cutoff date for Gemini 3.5 Flash-Lite is March 2026 –
users can expect updated information for some domains while in others they may experience
the model’s knowledge is limited to January 2025 (in line with the Gemini 3 Model Family). For
more information about known limitations, see the Gemini 3.1 Flash-Lite model card.

Acceptable Usage
For more information about the acceptable usage for Gemini 3.5 Flash-Lite, see the Gemini 3.1
Flash-Lite model card.

Ethics and Content Safety

Evaluation Approach
For more information about the evaluation approach for Gemini 3.5 Flash-Lite, see the Gemini 3.1
Flash-Lite model card.

Safety Policies
For more information about the safety policies for Gemini 3.5 Flash-Lite, see the Gemini 3.1
Flash-Lite model card.

Training and Development Evaluation Results
Results for some of the internal safety evaluations conducted during the development phase are
listed below. The evaluation results are for automated evaluations and not human evaluation or

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red teaming. Scores are provided as an absolute percentage increase or decrease in
performance compared to the indicated model, as described below.

Overall, Gemini 3.5 Flash-Lite outperforms Gemini 3.1 Flash-Lite across both safety and tone.
There was a slight regression in unjustified refusals, however we see this because the model is
more likely to refuse to answer on sensitive topics to remain safe. We mark improvements in
bolded green and regressions in red.

    Evaluation                Description                              Gemini 3.5 Flash-Lite
                                                                       vs. Gemini 3.1 Flash-Lite​
                                                                       (percentage point
                                                                       increase/decrease)

    Text to Text Safety       Automated content safety evaluation      -8.14%
                              measuring safety policies                Lower is better

    Multilingual Safety       Automated safety policy evaluation       -0.92%​
                              across multiple languages                Lower is better

    Image to Text Safety      Automated content safety evaluation      0%​
                              measuring safety policies                Lower is better

    Tone1                     Automated evaluation measuring           +3.04%​
                              objective tone of model refusal          Higher is better

    Unjustified-refusals      Automated evaluation measuring           +5.32%​
                              model’s ability to respond to            Lower is better
                              borderline prompts while remaining
                              safe

We continue to improve our internal evaluations, including refining automated evaluations to
reduce false positives and negatives, as well as update query sets to ensure balance and
maintain a high standard of results. The performance results reported below are computed with
improved evaluations and thus are not directly comparable with performance results found in
previous Gemini model cards.

We expect variation in our automated safety evaluations results, which is why we review flagged
content to check for egregious or dangerous material. Our manual review confirmed losses were
overwhelmingly either a) false positives or b) not egregious.

Human Red Teaming Results
We conduct manual red teaming by specialist teams who sit outside of the model development
team. High-level findings are fed back to the model team. For child safety evaluations, Gemini 3.5

1
 For tone, a positive percentage increase represents an improvement in the tone of the model on
sensitive topics and the model’s ability to follow instructions while remaining safe compared to Gemini 3.1
Flash-Lite.
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Flash-Lite satisfied required launch thresholds, which were developed by expert teams to
protect children online and meet Google’s commitments to child safety across our models and
Google products. For content safety policies generally, including child safety, we saw similar or
improved safety performance compared to Gemini 3.1 Flash-Lite. Additionally, the scope of red
teaming covered potential issues outside of our strict policies, compared performance to
Gemini 3.1 Pro, and found no egregious concerns.

Frontier Safety Assessment
Gemini 3.5 Flash-Lite is part of the Gemini 3 series of models. We evaluated Gemini 3.1 Pro for
Frontier Safety as it was the most generally capable model as of publication of this model card,
and it did not reach any Critical Capability Levels (CCLs) outlined in our Frontier Safety
Framework. Our assessments have shown that, while Gemini 3.5 Flash-Lite excels at agents and
coding, it does not have meaningful new capabilities or material increases in performance with
respect to the domains outlined in our Frontier Safety Framework compared to Gemini 3.1 Pro;
therefore, based on Gemini 3.1 Pro results, we are confident that Gemini 3.5 Flash-Lite is also
unlikely to reach any CCLs.

For more information on our Frontier Safety Assessment, read the Gemini 3.1 Pro Model Card.

Risks and Mitigations
To see additional information about the risks and mitigations for Gemini 3.5 Flash-Lite, see the
Gemini 3.1 Pro model card.

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