Google AI
on Orq.ai
Access Google’s AI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Capabilities:
Chat
Reasoning
Vision
Code
Models Supported:
gemini-3.5-flash-lite (Gemini API)
gemini-3.6-flash (Gemini API)
Gemini 3 Pro Image
Nano Banana 2 (gemini-3.1-flash-image)
Nano Banana 2 Lite (gemini-3.1-flash-lite-image)
Nano Banana 2 (gemini-3.1-flash-image-preview)
gemini-3.5-flash
gemini-3.1-flash-lite
gemini-3.1-flash-lite-preview
gemma-4-26b-a4b-it
...
Provider HQ:
Mountain View, California
Access Google AI through Orq.ai’s AI Router
Google AI provides access to models for reasoning, coding, multimodal applications, and general-purpose AI workloads through its developer platform and APIs. Its models support combinations of text, image, audio, video, and other modalities depending on the selected model.
Google AI models available on Orq.ai
Compare the Google AI models currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.
Model
Type
Context
Input / 1M
Output / 1M
gemini-3.5-flash-lite (Gemini API)
chat
Reasoning
Vision
Audio
Video
1M
$0.30
$2.50
gemini-3.6-flash (Gemini API)
chat
Reasoning
Vision
Audio
Video
1M
$1.50
$7.50
Gemini 3 Pro Image
image
Reasoning
Vision
131K
$2.00
$120.00
Why use Google AI through Orq.ai?
Using Google AI through Orq.ai lets teams combine multimodal, reasoning, and coding models with a wider model stack without maintaining separate routing, evaluation, observability, and cost-control logic for each provider.
Capability | Provider | Direct | Through Orq.ai |
|---|---|---|---|
Chat | Google AI models | Call supported Google models directly for chat, reasoning, coding, and multimodal workloads. | Use Google AI models through Orq.ai’s OpenAI-compatible endpoint while applying routing, tracing, evals, budgets, and governance controls around each request. |
Code | Google AI models | Use supported models for code generation, debugging, refactoring, and agentic coding workflows. | Route coding workloads through Orq.ai, compare Google AI with other providers, and monitor cost, latency, and quality from a shared control layer. |
Embeddings / multimodal | Supported Google AI models | Use supported models for multimodal inputs, embeddings, and other specialized workloads where available. | Route multimodal and embedding workloads alongside other providers while keeping observability, evaluation, and governance in the same platform. |
Pricing
Google AI pricing varies by model, modality, usage type, context length, and billing configuration.
You can connect supported Google AI credentials to Orq.ai or use other available access options depending on your workspace configuration. Check Orq.ai and your Google AI setup for current per-model rates, quotas, and billing details.
Compatible frameworks and tools
Orq.ai works with OpenAI-compatible clients and common AI development frameworks. Tools that support compatible APIs or supported integration standards can also connect through Orq.ai where available.
Check the Orq.ai integration documentation for the latest setup options and compatibility information for Google AI.
FAQs
Do I need a separate Google AI account to use Gemini through Orq.ai?
You can connect supported Google AI credentials to Orq.ai or use other available access options depending on your workspace, plan, and region.
Can I route only some workflows to Google AI and others to different providers?
Yes. Orq.ai lets you route different workloads to different providers, so you can use Google AI where multimodal support, context requirements, regional availability, or model capabilities fit the workload while routing other requests elsewhere.
Does using Google AI through Orq.ai add latency?
Orq.ai adds a routing layer between your application and the model provider. Teams can monitor end-to-end latency and use routing, caching, and provider controls where appropriate to manage performance.
Alternatives to
Google AI
Anthropic
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Chat
Reasoning
Vision
Models:
claude-opus-5
claude-sonnet-5
claude-fable-5
Open AI
Access OpenAI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
gpt-5.5 (EU)
gpt-5.6-luna (EU)
gpt-5.6-sol (EU)
AWS
Access foundation models available through Amazon Bedrock using Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
eu.anthropic.claude-opus-5
global.anthropic.claude-opus-5
us.anthropic.claude-opus-5
Z.ai
Access Z.ai’s GLM models through Orq.ai for reasoning, coding, multilingual, multimodal, and other AI workloads through one API.
Chat
Reasoning
Code
Vision
Models:
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glm-5.1
glm-5v-turbo
