Model introduction
Gemini 3 Flash is the Gemini 3 model for low latency, high throughput, and cost-efficient multimodal work.
Model capabilities
Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.
Verified specifications
- Official positioning
- Fast, efficient Gemini 3 model
- Context window
- Up to 1,000,000 tokens
- Input / output
- Text, image, audio, video, PDF / Text
- Best operating profile
- Low latency, high throughput, multimodal
Sources: B.AI Gemini 3 Flash model guide
Model pricing and access
Prices are read directly from the MoleAPI console catalog and shown by current billing group and context tier.
Your final charge follows the account group shown in the console.
Live pricing source
Pricing table
USD / 1M tokensStandardx1defaultInput $0.5 · Output $3
Input
$0.5 / 1M tokens
Output
$3 / 1M tokens
Cache read
$0.05 / 1M tokens
Discountx0.8discountInput $0.4 · Output $2.4
Input
$0.4 / 1M tokens
Output
$2.4 / 1M tokens
Cache read
$0.04 / 1M tokens
Access protocols
Available billing groups: Standard, Discount
- openai
- POST
- /v1/chat/completions
- gemini
- POST
- /v1beta/models/{model}:generateContent
About gemini-3-flash-preview
This introduction is transcreated for clarity and cross-checked against the cited model material.
Gemini 3 Flash is the Gemini 3 model for low latency, high throughput, and cost-efficient multimodal work.
Core strengths
- Fast responses fit direct interaction and high-concurrency services.
- Natively covers text, image, audio, video, and PDF input.
- Long context and lower cost suit batch document and media tasks.
Limitations
- Very difficult professional reasoning and quality-first work favor Pro.
- High reasoning effort reduces the latency advantage of a Flash model.
Selection and production evaluation
Start a gemini-3-flash-preview evaluation by mapping its official positioning to real work: Real-time chat, moderation, batch extraction, mobile applications, and high-concurrency multimodal processing. The first pass should exercise both its main strength, "Fast responses fit direct interaction and high-concurrency services.", and its known limitation, "Very difficult professional reasoning and quality-first work favor Pro.", instead of relying on a single subjective general-chat comparison.
For access, MoleAPI currently lists openai, gemini protocols and the Standard, Discount billing groups for this Google model; the default price summary is Input $0.5 / 1M tokens · Output $3 / 1M tokens. Pricing, protocols, and groups come from the live catalog, so production planning should still price representative requests using real context length, output size, and cache-hit assumptions.
No independent ranking is shown unless it matches this exact model ID and reasoning profile, so nearby variants are not used as a proxy. Before launch, pin the model ID, prompt, and sample set, then compare task accuracy, structured-output validity, tool-call success, and timeout rates under the same conditions.
The model material on this page was last checked on 2026-07-24. When upstream model cards, context limits, or tool support change, update the cited bilingual facts before changing the recommendation; live MoleAPI price changes remain separate and update from the catalog automatically.
Code examples
These examples use MoleAPI's OpenAI-compatible endpoint and run after you replace the API key.
curl https://api.moleapi.com/v1/chat/completions \
-H "Authorization: Bearer $MOLEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-flash-preview",
"messages": [{"role": "user", "content": "Hello"}]
}'Frequently asked questions
How is gemini-3-flash-preview priced?
This page reads prices from the MoleAPI console API and updates with model prices, context tiers, and account groups.
How can I access gemini-3-flash-preview?
Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.
How do I switch an existing project to gemini-3-flash-preview?
Keep the MoleAPI API address and key, replace the model parameter with the model ID on this page, then check protocol-specific parameter differences.
Where do the gemini-3-flash-preview model details come from?
Capabilities and limitations are checked against B.AI and the other cited pages. Pricing and available protocols come only from the MoleAPI console.