If you are searching for Gemini 3 Pro API pricing, the most important update is that the original Gemini 3 Pro Preview API model is no longer the current model to build around.
According to Google’s Gemini API deprecation page, gemini-3-pro-preview was shut down on March 9, 2026, and the recommended replacement is gemini-3.1-pro-preview.
That means old Gemini 3 Pro tutorials, pricing tables, or API examples may be outdated. If you are planning a new project, you should check the current Gemini model list and use the newer Gemini 3.1 Pro pricing as your main reference.
Gemini 3 Core Capabilities
Gemini 3 Pro Overview:
Launched on November 18, 2025, Gemini 3 Pro is Google’s most advanced AI model to date. It excels in reasoning, multimodal understanding, and code generation, making it suitable for professional workflows, complex problem solving, and AI-powered creative projects.
- Deep Reasoning – Gemini 3 Pro features the innovative “Deep Think” functionality, enabling human-like deep thinking by evaluating multiple possibilities and checking its own logic before answering complex questions.
- Native Multimodal – The model is fundamentally designed to seamlessly understand and process text, images, audio, video, and code.
- Extended Context Window – Supports up to 1 million tokens of input context and 64,000 tokens of output, ideal for processing long documents and complex conversations.
- Agentic Workflows – Specially optimized for autonomous coding agents and complex zero-shot tasks. With the newly released Bash tools, it can navigate file systems and drive development processes.
- “Vibe Coding” – Supports generating complete applications from natural language descriptions without traditional programming syntax.
Gemini 3 Pro API Pricing
Google’s latest flagship model, Gemini 3 Pro, has launched its API preview with a clear and competitive pricing model. Compared to previous models, Gemini 3 Pro adopts a tiered pricing strategy based on context length, designed to optimize costs for large-scale projects and long-text processing. For contexts under 200,000 tokens, input/output prices are $2.00/$12.00 per million tokens; above 200,000 tokens, they increase to $4.00 and $18.00 respectively.
Core Pricing Overview (Per Million Tokens)
| Context Length | Input Price | Output Price |
| ≤ 200,000 Tokens | $2.00 | $12.00 |
| > 200,000 Tokens | $4.00 | $18.00 |
Gemini 3 Pro API Pricing Mechanism Explained
Gemini 3 Pro API pricing revolves around two key dimensions: token quantity and context window length.
- Core Billing Unit: Tokens
Like most large language models (LLMs), Gemini 3 Pro charges separately for input tokens and output tokens, measured per million tokens (per 1M tokens).
- Input Tokens (Input Price): The volume of data sent to the model—your prompts, documents, code, etc.
- Output Tokens (Output Price): The volume of responses, summaries, code, etc., generated by the model, including tokens used for “thinking.”
- Cost Tiers: The Importance of Context Windows
A standout feature of Gemini 3 Pro is its extremely long context window (up to 1 million tokens). To reflect the computational cost of processing ultra-long contexts, Google introduced tiered pricing:
| Context Length Range | Use Cases | Pricing Rate |
| Standard Context (≤ 200K Tokens) | Common chat, short summaries, standard tasks | Lower rate |
| Long Context (> 200K Tokens) | Legal document analysis, deep research, complex codebase understanding | Higher rate |
Long-context tasks have input/output prices that are double those of standard contexts, reflecting their high value in complex scenarios.
Cost Estimation Examples: How Developers Can Budget
Understanding real-world use case costs helps businesses and developers accurately plan budgets. Here are several cost estimates based on current preview pricing:
Example 1: Standard Customer Service Chatbot (Low Context)
Assumptions:
- Input: 5,000 Tokens
- Output: 1,000 Tokens
- Context: 5,000 Tokens (≤ 200K)
| Cost Type | Calculation | Cost (USD) |
| Input | 5,000 × $2.00 / 1M | 0.01 |
| Output | 1,000 × $12.00 / 1M | 0.012 |
| Single Request Total | =$0.022 |
Example 2: Document Analysis & Summarization (Medium-Long Context)
Assumptions:
- Input: 150,000 Tokens (analyzing a long report)
- Output: 8,000 Tokens (generating summary)
- Context: 150,000 Tokens (≤ 200K)
| Cost Type | Calculation | Cost (USD) |
| Input | 150,000 × $2.00 / 1M | 0.3 |
| Output | 8,000 × $12.00 / 1M | 0.096 |
| Single Request Total | =$0.4 |
Example 3: Deep Research Task (Ultra-Long Context)
Assumptions:
- Input: 350,000 Tokens (analyzing multiple documents)
- Output: 15,000 Tokens (generating detailed report)
- Context: 350,000 Tokens (> 200K, higher rate applies)
| Cost Type | Calculation | Cost (USD) |
| Input | 350,000 × $4.00 / 1M | 1.4 |
| Output | 15,000 × $18.00 / 1M | 0.27 |
| Single Request Total | =$1.67 |
Gemini 3 Pro vs Gemini 3.1 Pro Pricing
Gemini 3 Pro and Gemini 3.1 Pro are easy to confuse because the names are close, but they are not the same API pricing target anymore.
The older gemini-3-pro-preview model has been shut down, so developers should not use it as the main pricing reference for new projects. The more useful comparison today is between old Gemini 3 Pro pricing expectations and the current Gemini 3.1 Pro pricing structure.
| Model | Current API status | Input price | Output price | What it means |
|---|---|---|---|---|
| Gemini 3 Pro Preview | Shut down | No longer current | No longer current | Do not base new API budgets on old gemini-3-pro-preview examples. |
| Gemini 3.1 Pro Preview, prompts up to 200K tokens | Current replacement path | $2.00 / 1M tokens | $12.00 / 1M tokens | Main reference point for advanced Gemini API pricing. |
| Gemini 3.1 Pro Preview, prompts above 200K tokens | Current replacement path | $4.00 / 1M tokens | $18.00 / 1M tokens | Use this when working with very large context windows. |
| Gemini 3.1 Pro Preview, batch/flex up to 200K tokens | Lower-cost processing option | $1.00 / 1M tokens | $6.00 / 1M tokens | Useful for async workloads that do not need immediate standard-priority responses. |
The key point: Gemini 3 Pro is now mostly a legacy search term for API pricing, while Gemini 3.1 Pro is the better current pricing reference.
If you want the full cost breakdown, read our Gemini 3.1 Pro cost and pricing guide. If you are trying to understand the model differences, see our comparison of Gemini 3.1 Pro vs Gemini 3 Pro.
Conclusion
Gemini 3 Pro pricing is no longer just a question of “how much does Gemini 3 Pro cost?” The more important question is which Gemini model you are actually using.
If you mean the old API model ID gemini-3-pro-preview, it has been shut down. For current developer projects, Gemini 3.1 Pro Preview is the safer pricing reference, especially for advanced reasoning, coding, long-context analysis, and multimodal workflows.
Before building or budgeting with Gemini API, check three things:
- Whether the model ID is still active.
- Whether your workload fits Pro, Flash, or Flash-Lite.
- Whether standard, batch, flex, or cached pricing gives the best value.
For most users, the practical path is simple: use Gemini 3.1 Pro for complex work, use lighter Gemini models for routine high-volume tasks, and compare alternatives like GPT, Claude, and Perplexity when quality, cost, or workflow flexibility matters. If you want to try multiple leading models in one place, GlobalGPT can help you compare Gemini-style workflows with other AI tools without switching between separate platforms.
FAQ
Is Gemini 3 Pro Preview still available in the API?
Google’s Gemini API deprecation page lists gemini-3-pro-preview as shut down, with gemini-3.1-pro-preview as the recommended replacement. Developers should check the current model list before using old Gemini 3 Pro API examples.
What is the current Gemini 3.1 Pro API price?
On the paid standard tier, Gemini 3.1 Pro Preview starts at $2.00 per 1M input tokens and $12.00 per 1M output tokens for prompts up to 200K tokens. Prompts above 200K tokens cost more.
Is Gemini 3.1 Pro cheaper with batch or flex pricing?
Yes. Google’s Gemini API pricing lists lower batch and flex prices for Gemini 3.1 Pro Preview than the standard tier. These modes can be useful for workloads that do not need immediate standard-priority responses.
