Gemini 3.7 Flash
Model card

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Gemini 3.7 Flash — 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: August 2026

Model Information

Description
Gemini 3.7 Flash is the next iteration in the Gemini 3 model family, featuring algorithmic
improvements to its core reasoning foundation and support for agentic video understanding.
It supports customizable thinking configurations to control the mix of quality, cost and
latency.

Model dependencies
Gemini 3.7 Flash is based on Gemini 3.6 Flash.

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 3.7 Flash is based on Gemini 3.6 Flash. For more information about the model
architecture for Gemini 3.7 Flash, see the Gemini 3.6 Flash model card.

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Model Data

Training Dataset
Gemini 3.7 Flash is based on Gemini 3.6 Flash. For more information about the training
dataset for Gemini 3.7 Flash, see the Gemini 3.6 Flash model card.

Training Data Processing
For more information about the training data processing for Gemini 3.7 Flash, see the Gemini
3.6 Flash model card.

Implementation and Sustainability

Hardware
Gemini 3.7 Flash is based on Gemini 3.6 Flash. For more information about the hardware for
Gemini 3.7 Flash and our continued commitment to operate sustainably, see the Gemini 3.6
Flash model card.

Software
Gemini 3.7 Flash is based on Gemini 3.6 Flash. For more information about the software for
Gemini 3.7 Flash, see the Gemini 3.6 Flash model card.

Distribution
Gemini 3.7 Flash is distributed in the following channels; respective documentation shared in
line:

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

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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
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 3.7 Flash was evaluated across a range of benchmarks, including reasoning, coding,
agentic tool use, multimodal capabilities, multi-lingual performance, and long-context.
Additional benchmarks and details on approach, results and their methodologies can be
found at: deepmind.com/models/evals-methodology/gemini-3-7-flash.

Results
Results as of August 2026 are listed below:

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For details on our evaluation methodology please see:
deepmind.com/models/evals-methodology/gemini-3-7-flash

Intended Usage and Limitations

Benefit and Intended Usage
Gemini 3.7 Flash is well-suited for users, developers, and enterprises. Some use cases include:
agentic workflows, complex video reasoning, coding tasks, and enterprise workflows.

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Known Limitations
Gemini 3.7 Flash 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 3.7 Flash 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 3.6 Flash model
card.

Acceptable Usage
For more information about the acceptable usage for Gemini 3.7 Flash, see the Gemini 3.6
Flash model card.

Ethics and Content Safety

Evaluation Approach
For more information about the evaluation approach for Gemini 3.7 Flash, see the Gemini 3.6
Flash model card.

Safety Policies
For more information about the safety policies for Gemini 3.7 Flash, see the Gemini 3.6 Flash
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 red teaming. Scores are provided as an absolute percentage increase or
decrease in performance compared to the indicated model, as described below.

Overall, Gemini 3.7 Flash performs similarly to Gemini 3.6 Flash across both safety and tone,
with low unjustified refusals.

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    Evaluation                         Description                          Gemini 3.7 Flash
                                                                            vs. Gemini 3.6 Flash

    Text to Text Safety                Automated content safety             +1.17pp
                                       evaluation measuring safety          Lower is better
                                       policies

    Multilingual Safety                Automated safety policy              -0.48pp​
                                       evaluation across multiple           Lower is better
                                       languages

    Image to Text Safety               Automated content safety             No change​
                                       evaluation measuring safety          Lower is better
                                       policies

    Tone1                              Automated evaluation measuring       -0.47pp​
                                       objective tone of model refusal      Higher is better

    Unjustified-refusals               Automated evaluation measuring       +0.84pp​
                                       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 3.7 Flash 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 3.6 Flash.

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 For tone and instruction following, 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 Flash. We mark improvements in green and regressions in red.
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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
We evaluated Gemini 3.7 Flash as outlined in our latest Frontier Safety Framework (April-2026), and
found that it did not reach any tracked or critical capability levels as outlined in the table below:

 Domain            Key Results for Gemini 3.7 Flash           T/CCL             T/CCL reached?

 CBRN              We can rule out the TCL for the CBRN       Uplift TCL        TCL not reached
                   domain with reasonable confidence
                   based on the results from our testing.
                   While Gemini 3.7 Flash demonstrates
                   high capability in certain theoretical
                   areas, it lacks nuanced expert
                   knowledge and actionable depth
                   necessary to complete priority harm
                   journeys.

                   We continue to deploy mitigations.

                   We can rule out the CCL for the CBRN       Uplift Level 1    CCL not reached
                   domain with reasonable confidence          CCL
                   based on the results from our testing.
                   Expert red teaming demonstrated a
                   modest capability uplift over web
                   baselines and a subset of experts were
                   able to elicit accurate and actionable
                   information across the full harm
                   journey for both tested scenarios,
                   prompting us to assess that the model
                   has reached the alert threshold for this
                   CCL. However, due to modest average
                   red-teaming scores, and a requirement
                   for explicit expert steering to elicit
                   certain details, we have assessed that
                   Gemini 3.7 Flash falls below the CCL
                   threshold.

                   We continue to deploy mitigations.

 Cybersecurity     Gemini 3.7 Flash reaches the alert         Uplift Level 1    CCL not reached
                   threshold for this CCL, but not the CCL.   CCL
                   We continue to deploy mitigations.

 Harmful           Gemini 3.7 Flash demonstrates some         Level 1 CCL       CCL not reached
 Manipulation      ability to influence user beliefs and
                   behaviors during one-on-one direct
                   conversations in human behavioural
                   studies. However, its overall efficacy

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                   falls beneath the CCL alert threshold.
                   Recognizing that testing environments
                   may under-elicit capabilities and threat
                   actors could scale misuse absent
                   mitigations, we continue to develop
                   and evolve our safeguards.

 ML R&D and        On stealth evaluations, Gemini 3.7 Flash   Stealth and     TCL not reached
 Misalignment      performs similarly to Gemini 3.1 Pro; on   Situational
                   situational awareness, the model is        Awareness TCL
                   stronger than Gemini 3.1 Pro. Gemini 3.7
                   Flash is observant enough to correctly
                   assess when it is in a testing
                   environment, but it cannot successfully
                   bypass testing restrictions. The model
                   does not reach the TCL.

                   Gemini 3.7 Flash can complete              Acceleration    CCL not reached
                   individual coding tasks but lacks the      Level 1 CCL
                   independence to chain them into an
                   end-to-end research workflow without       Automation      CCL not reached
                   human intervention. The model does         Level 1 CCL
                   not reach the CCL alert threshold.

We continually work to improve the coverage and robustness of Frontier Safety safeguards. Gemini
3.7 Flash is shipping with updated safeguards to prevent misuse in the domains of Chemical,
Biological, Radiological, and Nuclear (CBRN) and cyber offense.

The Gemini 3.7 Frontier Safety Framework Report is available here.

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