NEWVectors or files. Pick a path.Start →
    Provider APIVideo and image Q&AVerified 2026-11-05

    Gemini 3.8 Flash

    gemini-3.8-flash

    Gemini 3.8 Flash is a video understanding model. Called on Mixpeek through the provider API.

    Mixpeek calls the provider's API by name. Provider terms apply.

    New opens the Designer in Studio. For an existing namespace, open it in Studio and use its Designer tab.

    No demo for Gemini 3.8 Flash yet

    A video, image, slideshow or playground goes here once we record one on our own data.

    What it is good and bad at

    Best at
    Brand, artist, venue and moment tags per shot (the Live Nation ln_shots plugin default tag_model).
    Worst at
    Price matches 3.6 Flash; no Mixpeek evaluation of tag quality on its own.
    Task
    Video and image Q&A
    Input
    Video, Audio, Image, Text, Document
    Output
    Text, Structured data
    Use cases
    Video understanding, Tagging, Captioning, OCR, Brand detection

    Templates that use it

    No template uses this model yet. Browse templates.

    Input and output

    Input

    video
    frames
    1 frame per second by default (static mode); custom fps via the processing config
    tokens_per_frame
    258 at default media_resolution, 66 at low
    audio
    32 tokens per second of audio track
    max_length
    about 1 hour at default resolution or 3 hours at low resolution in a 1M-token context
    videos_per_request
    up to 10 (Gemini 2.5 and later)
    formats
    mp4, mpeg, mov, avi, x-flv, mpg, webm, wmv, 3gpp; public YouTube URLs (preview)
    prompts
    free-form instructions; response_schema for JSON output
    max_tokens
    1M-token input context (Flash family)

    Output

    text
    free-form or JSON matching response_schema (tags, descriptions, timestamps MM:SS)

    How Mixpeek wires it

    Extractors
    None today
    Feature URIs
    None today
    Vector indexes
    None
    Retriever stages
    llm_enrich, llm_filter, summarize
    Combines with
    • scene splits -> Gemini Flash per scene -> tags and descriptions -> E5 text vectors + BM25
    • retriever results -> llm_enrich with this model -> structured fields

    How it runs

    Status
    Provider API Provider API; accepted by name wherever the platform takes a Gemini model (shared/models/llm/gemini_models.py GEMINI_GENERATION_MODELS). Newest Flash on the models page (read 2026-11-05).
    Serve apps
    None
    Runtime
    Google Gen AI SDK (Gemini API / Vertex AI) via shared/models/llm/providers/google.py
    Weights
    Provider API, no remote code
    Parameters
    Not recorded
    Size on disk
    Not recorded
    Preprocessing
    Upload video through the Files API or pass a URI; set fps and media_resolution as needed.
    Postprocessing
    Parse JSON when response_schema is set; meter tokens by modality (shared/billing/model_prices.py).
    Serving
    both
    Hardware
    Provider API

    Scale to zero

    Minimum replicas
    Not recorded
    Maximum replicas
    Not recorded
    Idle timeout
    Not recorded
    Memory
    Not recorded
    CPUs
    Not recorded
    GPUs
    Not recorded
    Cold start, node warm
    Not recorded
    Cold start, new node
    Not recorded

    Measured cost

    Unmeasured

    Provider price, not a measurement: input 1.50, output 7.50 USD per 1M tokens (server/shared/billing/model_prices.py). Per-video cost is unmeasured.

    Our evaluations

    Unmeasured

    We have not evaluated this model on our own data yet. Publisher results are in the sources below.

    Questions

    What is Gemini 3.8 Flash best at?
    Brand, artist, venue and moment tags per shot (the Live Nation ln_shots plugin default tag_model).
    What are the limits of Gemini 3.8 Flash?
    Price matches 3.6 Flash; no Mixpeek evaluation of tag quality on its own.
    Can Gemini 3.8 Flash be used commercially?
    Yes. Google Gemini API paid-tier terms; outputs usable commercially; paid-tier data is not used to train Google models.
    How does Gemini 3.8 Flash run on Mixpeek?
    Provider API; accepted by name wherever the platform takes a Gemini model (shared/models/llm/gemini_models.py GEMINI_GENERATION_MODELS). Newest Flash on the models page (read 2026-11-05).