Gemini API for Advanced Multimodal Reasoning
The Gemini API opens Google's multimodal LLM family on Atlas Cloud, spanning Flash variants built for low-latency inference and Pro models tuned for advanced reasoning, coding, and long-context work, plus dedicated image generation. Route every call through one unified endpoint with transparent per-call pricing, reliable uptime, and immediate access to new releases, then move from prototype to production without rebuilding your stack. Start building today.
Gemini is developed by Google. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.
Explore the Leading Gemini(5)
Compare Every Gemini API Model by Modality, Capability, and Price
A side-by-side look at each Gemini API endpoint, showing how inputs map to outputs from low-latency Flash inference to Pro-grade reasoning and native image generation, all on transparent pay-as-you-go pricing.
| Modality | Description |
|---|---|
| Gemini 3.5 Flash API (Multimodal → Text) | Optimized for high-throughput and real-time interaction, this multimodal model returns fast text responses for everyday AI tasks. Standard pricing sits at $1.50 per million input tokens and $9.00 per million output tokens, a balanced pick for chat assistants and production workloads that need low latency at scale. |
| Gemini 3 Flash Preview API (Text and Audio → Text) | Reasoning, coding, mathematics, and science are the focus here, with the preview model accepting text and audio input and returning text. Text is billed at $0.50 per million input tokens and $3.00 per million output tokens, while audio input runs $1.00, making it a strong testbed for reasoning-heavy pipelines. |
| Gemini 3.1 Pro Preview API (Multimodal → Text) | When a workload demands deep analysis, long-context comprehension, and multimodal reasoning, this flagship preview steps in. Rates begin at $2.00 per million input tokens and $12.00 per million output tokens, then move to $4.00 and $18.00 once a prompt passes 200,000 tokens, suiting complex research and document-scale agents. |
| Gemini 2.5 Flash Image API (Text and Image → Image) | Feed it a text prompt with optional reference images and it produces generated images rather than text. Text input is priced at $0.30 per million tokens and image output at $30.00 per million tokens, a practical option for product mockups, marketing visuals, and rapid creative iteration. |
| Gemini 3 Pro Image Preview API (Text and Image → Image) | For premium visual generation, this preview endpoint renders images from text and image inputs at the Pro tier. Input text costs $2.00 per million tokens and image output is $120.00 per million tokens, positioning it for high-fidelity creative work where output quality is the priority. |
| Gemini 2.0 Flash API (Text and Audio → Text) | Both text and audio go in, and concise text comes out across reasoning, coding, and analytical tasks. Priced at $0.10 per million input tokens and $0.40 per million output tokens, with audio input at $0.70, it fits high-volume assistants and transcription-driven workflows. |
| Gemini 2.0 Flash Lite API (Text → Text) | Need the most economical way to run straightforward text tasks at scale? This lightweight variant answers text prompts with text at $0.075 per million input tokens and $0.30 per million output tokens, ideal for classification, routing, and simple generation jobs. |
| Gemini 2.5 Pro API (Text → Text) | This model tackles advanced reasoning, coding, mathematics, and scientific problems, returning well-structured text output. Standard rates are $1.25 per million input tokens and $10.00 per million output tokens, scaling to $2.50 and $15.00 beyond 200,000 tokens, which makes it dependable for long-context analysis and production agents. |
| Gemini 2.5 Flash API (Text and Audio → Text) | A dependable default for everyday production traffic, it converts text and audio input into text for reasoning and coding tasks. Pricing is $0.30 per million input tokens, $2.50 per million output tokens, and $1.00 for audio input, balancing capability against cost. |
| Gemini 2.5 Flash Lite API (Text and Audio → Text) | Choose this variant when latency and cost outweigh peak reasoning depth. It accepts text and audio, returns text, and carries low rates of $0.10 per million input tokens, $0.40 per million output tokens, and $0.30 for audio input, well suited to lightweight, high-frequency calls. |
The Gemini API, From Flash Speed to Pro Reasoning
Built on Google's multimodal family, the Gemini API pairs native text, image, audio, and video understanding with long context, adjustable reasoning, tool calling, and built-in image generation, all reachable through one OpenAI-compatible endpoint on Atlas Cloud.
Native Multimodal Understanding
Gemini processes text, images, audio, video, and PDFs together in a single request rather than one modality at a time. Feed it a screenshot, a recording, or a document and receive one synthesized answer.
Long Context on the Gemini API
The Gemini API accepts prompts of up to a million tokens, so entire codebases or hours of transcripts fit in one call. No chunking is required, and context stays intact across the full input.
Reasoning You Can Dial Up or Down
Set a reasoning effort of low, medium, or high to trade latency against depth on each request. Lighter settings keep everyday calls fast, while higher settings tackle complex math, analysis, and hard coding problems.
Tool Calling Built for the Gemini API
Connect Gemini to your own functions and external APIs, then constrain every reply to a strict JSON schema. Agents get clean structured output that drops straight into downstream code without parsing guesswork.
Native Image Generation and Editing
Need product visuals? Gemini generates and edits images through its 2.5 Flash Image and 3 Pro Image models. Create product shots and graphics from a text prompt without wiring up a separate image service.
One Gemini API for the Whole Family
One OpenAI-compatible endpoint reaches every Gemini model, from Flash Lite to the 3.1 Pro reasoning tier. Switch models by changing a string, pay per call, and cache repeated context to cut costs.
One Prompt, Three Models: The Gemini API Head-to-Head
Send a single identical prompt to the Gemini API flagship and two rival models, then compare the interactive HTML page each one builds from the same instructions.
Build a complete, single-file HTML page for a polished browser version of the 2048 puzzle game. Put all CSS and JavaScript inline and use zero external dependencies, CDNs, images, or web fonts. Render a 4x4 grid that responds to arrow keys on desktop and swipe gestures on touch screens, animate each tile as it slides and merges, and track a live score alongside a best-score counter saved in localStorage. Give it a modern dark palette with smooth CSS transitions, rounded tiles that shift color as their value climbs, a restart button, and a keep-going overlay once the player reaches 2048. Keep the layout centered, responsive, and fully playable on both phone and desktop.
Generated with Gemini 3.1 Pro Preview on Atlas Cloud
Generated with Grok 4.3 on Atlas Cloud
Generated with Gemini 2.5 Pro on Atlas Cloud
Generate one complete, single-file HTML page for an interactive sales analytics dashboard, with all CSS and JavaScript inline and no external libraries, CDNs, or image links. Lay out a top row of animated KPI cards, a hand-coded SVG line chart of monthly revenue, an SVG bar chart comparing regions, and a sortable, filterable table of recent transactions. Wire a date-range selector and a region dropdown so they update every chart and the table in real time, and reveal a styled tooltip when the user hovers any data point. Finish it with a clean modern theme, a light and dark mode toggle, smooth transitions, and a responsive grid that reflows gracefully on mobile.
Generated with Gemini 3.1 Pro Preview on Atlas Cloud
Generated with Grok 4.3 on Atlas Cloud
Generated with Gemini 2.5 Pro on Atlas Cloud
One Gemini API, Every Workload
From coding agents and long-document analysis to real-time chat and high-volume extraction, the Gemini API lets developers match Flash, Pro, and reasoning tiers to each task through a single OpenAI-compatible key.
Build Coding Agents on the Gemini API
Gemini 3 Pro powers autonomous coding agents that reason across large repositories, plan multistep tasks, and generate production-ready code. Teams shipping IDE plugins, review bots, and refactoring tools route calls through one OpenAI-compatible endpoint.
Long-Context Document Intelligence
With expansive context windows, Pro models digest entire codebases, contracts, and research corpora in one request without chunking. Context caching keeps repeated queries against the same document affordable for analysts and knowledge tools.
Real-Time Conversational Assistants
Flash variants deliver low-latency responses at high throughput, making them ideal for chatbots, support copilots, and interactive assistants. Because pricing scales per call, you serve millions of everyday conversations without fixed infrastructure costs.
Multimodal Understanding with the Gemini API
Send text, images, audio, and PDFs in one prompt, and Gemini reasons over them natively without separate vision or speech services. Product teams use this to build search, tagging, and content moderation across media.
High-Throughput Extraction and Classification
For batch jobs like tagging, sentiment scoring, and structured extraction, Flash Lite handles millions of requests at the family's lowest per-token price. Developers send raw text and receive clean JSON, ready for downstream systems.
Scientific and Analytical Reasoning via the Gemini API
When problems demand step-by-step logic, Gemini's reasoning models tackle mathematics, scientific analysis, and complex data interpretation with strong accuracy. Researchers and analysts lean on Pro tiers for hypothesis testing, quantitative modeling, and technical writing.
The Gemini API Next to Rival Flagships: Context and Cost
See how the Gemini API stacks up against other top text models on Atlas Cloud across context window, output capacity, and per-token pricing.
| Model | Context Window | Max Output | Input ($/1M) | Output ($/1M) |
|---|---|---|---|---|
| Gemini 3.5 Flash | 1M | 64K | $1.5 | $9 |
| Gemini 3.1 Pro Preview | 1M | 64K | $2 ($4 over 200K) | $12 ($18 over 200K) |
| Gemini 3.1 Flash Lite | 1M | 64K | $0.25 | $1.5 |
| GPT 5.5 | 1.05M | 128K | $5 ($10 over 272K) | $30 ($45 over 272K) |
| Claude Opus 4.8 | 1M | 128K | $5 | $25 |
| Grok 4.3 | 1M | 1M | $1.25 ($2.5 over 200K) | $2.5 ($5 over 200K) |
| DeepSeek V4 Pro | 1M | 384K | $1.74 | $3.45 |
How to Use Gemini on Atlas Cloud
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud's platform.
Create an Atlas Cloud Account
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Why Use Gemini on Atlas Cloud
Combining the advanced Gemini models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Performance & flexibility
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Gemini, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Enterprise & Scale
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Gemini API Questions, Answered for Developers
The Gemini API is the programmatic interface to Google's Gemini family of multimodal large language models, covering everything from fast Flash variants to reasoning-focused Pro models. On Atlas Cloud you reach the full lineup through a single endpoint and one key, so you can call any Gemini model without managing separate integrations. Billing is pay-as-you-go, so you pay only for the tokens each request consumes.
Atlas Cloud provides Day-0 access to the current Gemini text lineup, including Gemini 3.1 Pro Preview, Gemini 3 Flash Preview, Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.5 Flash Lite, Gemini 2.0 Flash, and Gemini 2.0 Flash Lite. Flash variants are tuned for low-latency, high-throughput work, while Pro models handle deep reasoning, complex coding, and long-context analysis.
Sign up, generate one OpenAI-compatible key, and point your existing client at the Atlas Cloud base URL. From there you select any Gemini model by name and start sending requests, with transparent per-call pricing and no subscription required. Start building today.
Yes. The Gemini API on Atlas Cloud follows the OpenAI chat completions format, so you can keep your current OpenAI SDK and only swap the base URL and model name. Streaming responses and standard chat parameters work out of the box, which keeps migration from other providers to a few lines of code.
Every Gemini API call is billed per token with pay-as-you-go pricing and no subscription. Rates scale by model: Gemini 2.0 Flash Lite runs $0.075 per million input tokens and $0.30 per million output tokens, Gemini 3 Flash Preview is $0.50 input and $3.00 output, and the flagship Gemini 3.1 Pro Preview is $2.00 input and $12.00 output per million tokens. You pay only for what you actually use.
Match the model to the job rather than defaulting to the largest one. Reach for a Flash variant such as Gemini 3 Flash or Gemini 2.5 Flash when latency and cost drive the experience, for example chatbots, extraction, and high-volume pipelines. Choose a Pro model like Gemini 3.1 Pro or Gemini 2.5 Pro when the task needs advanced reasoning, complex coding, or long-document understanding.
Gemini is natively multimodal, so a single request can combine text with images, documents, and other inputs for analysis and generation. This lets developers build agents that read a screenshot, reason over a PDF, and return structured output in one call. The exact input types depend on the specific model you select.
Pro models such as Gemini 2.5 Pro and Gemini 3.1 Pro support context windows of up to 1 million tokens, which is enough to process large codebases, long documents, or extended conversations in one request. Flash variants prioritize speed and lower cost with more focused context. Check the model page for the precise limit before designing long-context workflows.
Running Gemini through Atlas Cloud puts your calls behind managed, production-grade infrastructure instead of raw provider quotas, which reduces the 429 rate-limit surprises many developers hit with direct keys. Capacity scales with your usage, and a single OpenAI-compatible key covers the entire Gemini lineup for consistent access across models.
Explore More Families
Seedance 2.5
Seedance 2.5 API is now available on Atlas Cloud! It gives developers ByteDance's newest video model. It generates up to 30 seconds of native video in a single pass from text, a single image, or as many as 50 multimodal references, with synchronized audio and in-frame multilingual text. On Atlas Cloud you reach it through one key, with subject consistency and improved physics keeping long shots coherent. (Update: Seedance 2.5 1080P API Is Available NOW!)
Wan 3.0
Wan 3.0 API is the next generation of Alibaba's Wan video family, built to push long-form generation, multi-reference control, and audiovisual quality to new heights. Atlas Cloud already hosts Wan 2.7, 2.6, and 2.5, and Wan 3.0 runs on the same unified key with no separate setup. Start building today. Scroll down to the showcase to see what Wan 3.0 can create.
MiniMax H3
The MiniMax H3 API opens MiniMax's general purpose multimodal video model, which reads text, images, video and audio as one context instead of one task at a time. Clips run 5 to 15 seconds at 24 FPS across aspect ratios from 21:9 to 9:16, and one prompt can swap characters, replace backgrounds, rewrite dialogue or clone a voice from a reference clip. Atlas Cloud serves it all through one OpenAI-compatible endpoint. Start building today.
Seedream 5.0 Pro
Seedream 5.0 Pro API gives developers ByteDance's controllable image editing model on Atlas Cloud. It places edits precisely with anchors and coordinates, separates images into editable layers, fuses multiple references, and matches exact colors and materials, with multilingual text at 2K and 3K. On Atlas Cloud you reach it through one key!
Seedance 2.0
The Seedance 2.0 API gives you production access to ByteDance's multimodal video model — quad-modal inputs (text, image, video, audio) and an industry-leading "Universal Reference" system that locks composition, camera movement, and character actions across shots. Integrate director-level control with one API call, a flat $0.09/s, instant key, and no waitlist — backed by enterprise-grade uptime and compliance. Seedance 2.0 Native 4K is now live!
GPT Image 2
The GPT Image 2 API gives developers access to OpenAI's latest image model, the successor to GPT Image 1.5. It generates and edits images with accurate text rendering across Latin and CJK scripts, plus strong composition for posters, mockups, and infographics. On Atlas Cloud you reach it through one unified API alongside 300+ models, with free credits, 99.99% uptime, and no OpenAI organization verification required.
Gemini Omni Flash
The Gemini Omni API brings Google DeepMind's multimodal video generation and editing model, introduced at Google I/O 2026, to your stack. Gemini Omni fuses Gemini's reasoning engine with generative media, accepting any mix of text, images, video, and audio to produce consistent, knowledge-grounded output. Refine results through natural conversation, swapping objects, rewriting scenes, and shifting styles while physics, characters, and continuity stay intact. Atlas Cloud serves the full Gemini Omni Flash lineup, text-to-video, image-to-video with up to 7 reference images, and reference-to-video, through one unified API with transparent per-second pricing from $0.112 and no subscription. Start building today.
Grok Imagine
The Grok Imagine API covers xAI's image, video, and speech models, from Image 2.0 to Video 1.5 and xAI TTS v1. Render 1K or 2K stills across 14 aspect ratios, push a scene to 15 seconds of 1080p motion, steer shots with up to 7 reference images, or narrate them in 20 languages. Atlas Cloud runs every mode on one endpoint, priced pay-as-you-go from $0.02 per image and $0.05 per second. Start building today.
Google's most powerful creative models are all available on Atlas Cloud. Veo 3.1 delivers cinematic video generation, Nano Banana 2 powers high-fidelity image creation, and Gemini brings multimodal intelligence to every workflow. Access the full Google model suite through one API key with Day-0 availability and pay-as-you-go pricing.
Seedance 2.0 Mini
The Seedance 2.0 Mini API is the lightest, lowest-cost tier of ByteDance's Seedance video line, built for teams where throughput and unit cost matter more than maximum polish. Use it for batch generation, rapid prototyping, and draft passes, all through one OpenAI-compatible key on Atlas Cloud.
ByteDance
From cinematic video generation to high-fidelity image creation, ByteDance's most powerful models are live on Atlas Cloud. Run Seedance and Seedream at scale with the lowest inference pricing and zero infrastructure overhead.
Alibaba
Atlas Cloud brings together Alibaba's full model lineup under one API: Qwen for language and image tasks, Wan for video generation up to 1080p. Access every model pay-as-you-go with no subscriptions. The Alibaba API is available via a single base URL using your existing OpenAI-compatible client.
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