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gemini-3.5-flash
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Model:
Gemini 3.5 Flash API supports chat and coding for production assistants, coding agents, support tools, and structured reasoning workflows.
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Configuration
1.0
1.0
Pricing details

Transparent pricing with no hidden fees. Pay as you go.

Googlegemini-3.5-flash
Input
PoYo price
$0.900/1M tokens
180 credits
Official price
$1.50/1M tokens
Official
You save
40%
Googlegemini-3.5-flash
Output
PoYo price
$5.40/1M tokens
1080 credits
Official price
$9.00/1M tokens
Official
You save
40%

* Actual fees are based on the final output.

Introduction

Complete guide to using Affordable Gemini 3.5 Flash API on PoYo

Affordable Gemini 3.5 Flash API on PoYo

Access Gemini 3.5 Flash API instantly on PoYo with no waitlist. Google DeepMind positions Gemini 3.5 Flash as a preview Flash model for fast agentic workflows, coding, multimodal reasoning, 1M context, and 64K text output. Supports /v1/chat/completions and the existing Gemini Native Format endpoint.

Available Gemini 3.5 Flash API model on PoYo

01

Gemini 3.5 Flash

gemini-3.5-flash is the fast Gemini model for coding agents, long-context multimodal analysis, and tool-using applications. PoYo meters input at 180 credits per 1M tokens and output at 1080 credits per 1M tokens.
View Documentation

Key features of Gemini 3.5 Flash API

Gemini 3.5 Flash focuses on speed, multimodal context, and agentic workflows rather than only single-turn chat.

01

Fast Flash model for agentic workflows

Google DeepMind describes Gemini 3.5 Flash as the next iteration of the Gemini 3 Flash reasoning foundation. It is well-suited for coding tasks, agentic workflows, and long-running enterprise processes that need lower latency than heavier models.

  • Preview Flash model
  • Optimized for agents and coding
  • Good speed-to-quality profile
Gemini API

02

1M context with multimodal input

The official model card lists text, image, audio, and video inputs with a token context window of up to 1M. Use it for large document packets, video or audio analysis, and multimodal product workflows.

  • Text, image, audio, video, and PDF inputs
  • Up to 1M token context window
  • 64K token text output
Gemini text generation

03

Thinking levels for quality, cost, and latency

Gemini 3.5 Flash uses thinking levels to control the mix of quality, cost, and latency. That makes it useful for systems that need fast answers most of the time and deeper reasoning only on harder turns.

  • Control reasoning depth
  • Tune latency and spend
  • Use deeper thinking for harder tasks
Gemini function calling

04

Gemini Native and OpenAI-compatible access

PoYo supports Gemini 3.5 Flash through the existing Gemini Native Format endpoint for full Gemini-style payloads, plus /v1/chat/completions for teams that prefer OpenAI-compatible chat clients.

  • /v1/chat/completions for compatibility
  • /v1beta/models for Gemini Native Format
  • One API key for both paths
Gemini API docs

What can you build with Gemini 3.5 Flash API?

01

Fast AI agents

Build agents that plan, call tools, and iterate quickly while staying cheaper than heavier frontier reasoning models.

02

Coding assistants

Use Gemini 3.5 Flash for repo triage, debugging plans, code explanations, and agentic coding tasks that benefit from fast model turns.

03

Multimodal analysis

Process text, images, audio, video, and PDFs in applications that need broader context than text-only chat.

04

Enterprise knowledge workflows

Summarize long packets, reason over internal documents, and automate repeated knowledge-work steps with 1M context.

Gemini 3.5 Flash vs GPT-5.5 and Claude Opus 4.7

Compare Gemini 3.5 Flash with two premium reasoning models: GPT-5.5 for OpenAI-style coding agents and Responses API workflows, and Claude Opus 4.7 for long-context hybrid reasoning, coding, and computer-use tasks.

FeatureGemini 3.5 FlashGPT-5.5Claude Opus 4.7
ProviderGoogle DeepMindOpenAIAnthropic
Best fitFast multimodal agentsHardest GPT coding and agentsDeep reasoning, coding, and computer use
Context window1M1M1M
Max output64K128K128K
Reasoning styleFast dynamic thinkingxhigh GPT reasoningHybrid reasoning with X-High effort
Endpoint supportChat + Gemini NativeChat + ResponsesChat + Messages
PoYo input price$0.90 / 1M$3.00 / 1M$4.00 / 1M
PoYo output price$5.40 / 1M$18.00 / 1M$20.00 / 1M

Gemini model information is summarized from Google DeepMind and Google AI public documentation checked on May 21, 2026. GPT-5.5 and Claude Opus 4.7 values use the corresponding PoYo model page configuration.

How to use Gemini 3.5 Flash API on PoYo

Step 1: Create a PoYo API key
Sign in, create an API key, and add credits for Gemini chat usage.
Create API Key

Step 2: Choose an endpoint
Use /v1/chat/completions for OpenAI-style clients or /v1beta/models/gemini-3.5-flash:generateContent for Gemini Native Format.

Step 3: Send a request
curl --request POST \ --url https://api.poyo.ai/v1/chat/completions \ --header 'Authorization: Bearer YOUR_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "model": "gemini-3.5-flash", "messages": [{"role": "user", "content": "Plan a fast coding agent."}] }'
View Gemini API docs

Gemini 3.5 Flash API pricing on PoYo

MeterPoYo creditsUSD equivalent
Gemini 3.5 Flash input180 credits / 1M tokens$0.90 / 1M tokens
Gemini 3.5 Flash output1080 credits / 1M tokens$5.40 / 1M tokens

PoYo pricing is positioned about 40% cheaper than official pricing. No subscription fees. Use one API key, dashboard usage tracking, and pay-as-you-go credits.

Frequently asked questions about Gemini 3.5 Flash API

What is Gemini 3.5 Flash best for?

Gemini 3.5 Flash is best for fast agentic workflows, coding tasks, multimodal analysis, and long-context applications that need a strong speed-to-quality ratio.

Which endpoints does PoYo support for Gemini 3.5 Flash?

PoYo supports /v1/chat/completions and the existing Gemini Native Format endpoint /v1beta/models/gemini-3.5-flash:generateContent.

How much does Gemini 3.5 Flash cost on PoYo?

Gemini 3.5 Flash costs 180 credits per 1M input tokens and 1080 credits per 1M output tokens, equivalent to $0.90 input and $5.40 output per 1M tokens.

Does Gemini 3.5 Flash support multimodal input?

Yes. Google DeepMind lists text, image, audio, and video inputs for Gemini 3.5 Flash, with a token context window of up to 1M and text output up to 64K tokens.

Why use PoYo for Gemini 3.5 Flash API access

01

Instant Gemini access

Start using gemini-3.5-flash without separate provider setup, using the same PoYo dashboard and API key.

02

Transparent token pricing

PoYo lists clear input and output token rates, with Gemini 3.5 Flash positioned about 40% cheaper than official pricing.

03

Two integration styles

Use OpenAI-compatible chat for quick migration or Gemini Native Format for Gemini-specific request shapes.

04

Playground to production

Test prompts in the model page, monitor usage, then move the same model ID into production.