Google Fast multimodal agents
Gemini 3.8 Flash
Keep interactive workflows moving without dropping the evidence.
Gemini 3.8 Flash is the flagship Flash route in TokenHot's catalog for software engineering, autonomous agents and complex enterprise workflows. It accepts text, images, audio, video and documents, with a roughly 1.05M context value plus reasoning, tool and structured-output capabilities. Use it when an interactive workflow needs broad input coverage and practical throughput.
- Multimodal input
- Flash throughput
- Tool orchestration
Flash positioning does not mean every task is low latency or low cost. Verify media limits, thinking controls, grounding behavior and tool parameters on the exact Gemini or OpenAI-compatible endpoint you use.
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USD /1M tokens
Pricing
| Group | Input | Output | Cache Read | Cache Write | Image | Audio input |
|---|---|---|---|---|---|---|
| default | $0.7874 | $3.937 | $0.078661 | $0.999998 | $0.7874 | $0.7874 |
Public list prices are shown in USD. Final charges may vary by account group and usage tier.
Overview
What is Gemini 3.8 Flash?
Gemini 3.8 Flash is useful for workflows that switch between modalities: a support ticket with a screenshot, a meeting recording with action items, or an engineering task with logs and diagrams. Keep each source labeled so a fast answer remains auditable.
For complex autonomous work, use explicit tool schemas and escalation rules. A broad input surface helps only when the application validates files, permissions and the final artifact.
Route rich requests quickly
Normalize screenshots, transcripts, clips and documents before sending them. Ask the model to state which source supports each conclusion.
Keep the loop tight
Use issue context, logs and code together, then require a small patch or a precise next action.
Separate retrieval from action
Let the model suggest searches and function calls, but make your application own grounding, permissions and execution.
From brief to deliverable
Put Gemini 3.8 Flash to work
Support engineering teams
Resolve a support issue from mixed evidence
Combine the ticket, screenshot, short recording and known product behavior into a response draft and escalation decision.
- Tools you need
- Media ingestion, retrieval and a ticketing system for the final action.
- Keep in mind
- The model should not infer account state or promise a fix without system evidence.
View a task brief
Use the supplied a user report, screenshots or video, product docs and escalation policy. to plan resolve a support issue from mixed evidence. Return a cited diagnosis, reply draft and next action., state the limits of the evidence and identify the checks required before accepting the result. Do not claim that an output or interaction was verified without direct evidence.
Operations and project teams
Turn a recorded meeting into action items
Use transcript and selected frames to identify decisions, owners and unresolved questions. Keep uncertain speaker or ownership attribution visible.
- Tools you need
- Audio or video transcription, project tracking and human review.
- Keep in mind
- Attribution and deadlines need confirmation when the recording is ambiguous.
View a task brief
Use the supplied transcript, recording metadata, agenda and action-item schema. to plan turn a recorded meeting into action items. Return a dated action list with evidence and open questions., state the limits of the evidence and identify the checks required before accepting the result. Do not claim that an output or interaction was verified without direct evidence.
Software and SRE teams
Inspect logs, screenshots and code together
Ask for a diagnosis that connects the visible symptom to logs and source, then request the smallest next check before a patch.
- Tools you need
- Repository access, log search and a safe execution environment.
- Keep in mind
- A static multimodal explanation is not a live incident command or a proof that a fix works.
View a task brief
Use the supplied logs, screenshots, relevant code, deployment context and runbook constraints. to plan inspect logs, screenshots and code together. Return a prioritized diagnosis and verification plan., state the limits of the evidence and identify the checks required before accepting the result. Do not claim that an output or interaction was verified without direct evidence.
Capabilities in context
Key features
| Feature | What you get | Why it matters |
|---|---|---|
| Multimodal input | Text, image, audio, video and document inputs are listed | Use a shared source manifest and verify file size, duration and encoding before requests. |
| Context capacity | 1,048,576 tokens shown in the catalog | Keep long workflows coherent while still limiting retrieved material and output shape. |
| Agent features | Reasoning, function calling, code execution and structured output are listed | Build schema validation, permissions and audit logs around every tool interaction. |
| Grounding options | Web search is listed by the catalog | Treat retrieval results as inputs that need freshness and source checks, not as automatic truth. |
| Flash positioning | A throughput-oriented family route | Measure latency, correction rate and total cost on interactive and batch workloads separately. |
This page reflects TokenHot catalog metadata for Gemini 3.8 Flash. Verify endpoint-specific media limits, grounding, thinking controls and tool behavior before production use.
Audience & fit
Where Gemini 3.8 Flash fits
Support and operations teams
Bring screenshots, recordings, tickets and docs into one first-pass analysis while keeping system actions and customer promises under review.
Engineering and SRE teams
Connect logs, images and code to form a testable diagnosis, then run the proposed check in a safe environment.
Agent platform builders
Use broad input support with strict schemas, permissions and escalation so speed does not hide uncertainty.
Cost context
Plan the cost of a useful result
Separate media costs
Transcription, storage, retrieval and preprocessing can add more cost than a text-only prompt. Track them with the model request.
Measure interactive quality
Record time to useful answer, correction rate and escalation rate. A fast first pass is valuable only when it reduces total work.
Verify grounding conditions
Search or retrieval parameters can change the evidence available to the model. Keep source URLs, dates and freshness checks in your application.
Use the current pricing table for available rates and account groups. Model IDs and prices come from TokenHot’s catalog; provider pricing and subscriptions are separate.
API
Code examples
curl --location --request POST 'https://api.tokenhot.ai/v1beta/models/gemini-3.8-flash:generateContent' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"contents": [
{
"role": "user",
"parts": [
{
"text": "Hello"
}
}
]
}'FAQ
Frequently asked questions
What is Gemini 3.8 Flash best suited for?
Gemini 3.8 Flash is suited to the input, output, and capability types listed on this page. Test production workloads before choosing it for a critical system.
How is Gemini 3.8 Flash priced?
Pricing is shown in the pricing section above. Actual cost depends on usage volume, account group, and the request payload.
How can I call Gemini 3.8 Flash?
Use the model ID shown above with one of the supported API protocols. Code examples are provided when usage data is available.
What makes Gemini 3.8 Flash different from a simple text model?
The catalog lists text, image, audio, video and document inputs plus tool-oriented capabilities. Confirm the exact endpoint and media limits before using those inputs.
Does the route automatically browse the web?
No automatic browsing is implied. If the endpoint supports grounding or search, your integration must configure it and validate the returned sources.
Can it execute code?
The catalog lists code execution as a capability, but the actual environment, permissions and returned artifacts depend on the endpoint and your application.
When should I use Flash-Lite instead?
For simple, repetitive transformations, compare Flash-Lite on accepted output and total cost. Keep Flash for harder multimodal or tool-orchestration work.
Get started
Build with Gemini 3.8 Flash
API