Model introduction
Gemini 3.5 Flash is Google's multimodal model. It accepts text, images, video, audio, and PDF input and produces text output.
Model capabilities
Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.
Verified specifications
- Input / output
- Text, image, video, audio, PDF / Text
- Context window
- 1,048,576 tokens
- Maximum output
- 65,536 tokens
- Verified capabilities
- Function calling; structured outputs; code execution; file search
Sources: Google Gemini 3.5 Flash model documentation
Independent capability evaluation
Only public measurements matched to the exact model ID and reasoning profile are shown; nearby variants are not substituted.
Intelligence index
50
Cohort rank #20 / 186
Output speed
169.7 tok/s
Cohort rank #25 / 186
First-token latency
20.22s
Reasoning, high effort
Combines a strong composite score with very fast output for multimodal work that values both intelligence and throughput.
Evaluation profile: Reasoning, high effort. Artificial Analysis · Methodology
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 $1.5 · Output $9
Input
$1.5 / 1M tokens
Output
$9 / 1M tokens
Cache read
$0.15 / 1M tokens
Discountx0.8discountInput $1.2 · Output $7.2
Input
$1.2 / 1M tokens
Output
$7.2 / 1M tokens
Cache read
$0.12 / 1M tokens
Access protocols
Available billing groups: Standard, Discount
- openai
- POST
- /v1/chat/completions
- openai-response
- POST
- /v1/responses
- anthropic
- POST
- /v1/messages
- gemini
- POST
- /v1beta/models/{model}:generateContent
About gemini-3.5-flash
This introduction is transcreated for clarity and cross-checked against the cited model material.
Gemini 3.5 Flash is Google's multimodal model. It accepts text, images, video, audio, and PDF input and produces text output.
Core strengths
- Native text, image, video, audio, and PDF input in one model.
- Independent testing shows a strong composite score with very fast output at high reasoning effort.
- Supports function calling, structured output, code execution, search, and a 1M context window.
Limitations
- High reasoning effort decodes quickly but can still add a long thinking delay before the first answer.
- Output pricing is higher than earlier Flash models, so batch workloads should measure real token use.
Selection and production evaluation
Start a gemini-3.5-flash evaluation by mapping its official positioning to real work: Applications that need long documents or several media types in one request, together with tool calling, code execution, or structured output. The first pass should exercise both its main strength, "Native text, image, video, audio, and PDF input in one model.", and its known limitation, "High reasoning effort decodes quickly but can still add a long thinking delay before the first answer.", instead of relying on a single subjective general-chat comparison.
For access, MoleAPI currently lists openai, openai-response, anthropic, gemini protocols and the Standard, Discount billing groups for this Google model; the default price summary is Input $1.5 / 1M tokens · Output $9 / 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.
The capability snapshot uses the exact model ID under the "Reasoning, high effort" public evaluation profile. A launch decision should add your own task accuracy, structured-output validity, tool-call success, and timeout rates while pinning the model ID, prompt, and sample set so version or effort changes do not hide regressions.
The model material on this page was last checked on 2026-07-23. 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 Responses API endpoint and run after you replace the API key.
curl https://api.moleapi.com/v1/responses \
-H "Authorization: Bearer $MOLEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-flash",
"input": "Explain this problem step by step."
}'Frequently asked questions
How is gemini-3.5-flash 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-3.5-flash?
Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.
How do I switch an existing project to gemini-3.5-flash?
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-3.5-flash model details come from?
Capabilities and limitations are checked against Google and the other cited pages. Pricing and available protocols come only from the MoleAPI console.