Gemini 3 Pro
Gemini 3 Pro is optimized for multimodal reasoning, long context understanding, and search-adjacent product experiences.
AI 摘要 / Direct Answer
Updated 2026-05-20
Gemini 3 Pro 是 Google 提供的 multimodal AI API model,适合 AI search、video frame analysis、large document QA。English summary: Gemini 3 Pro is a multimodal AI API model for pricing, context, capability, and comparison research.
- Pricing: $2.5/1M input and $10/1M output tokens
- Context: 1,000,000 tokens
- Vision: yes · Function calling: yes
ModelPort API
用 ModelPort API 调用 Gemini 3 Pro
如果你已经确认 Gemini 3 Pro 适合当前任务,可以直接进入 ModelPort API 中转站获取调用入口,并用 UTM 记录该模型页面带来的转化。
- API 价格
- $2.50 in / $10.00 out
- 上下文长度
- 1M tokens
- 视觉输入
- 支持
- 函数调用
- 支持
- 编程评分
- 88/100
- 中文评分
- 86/100
结构化事实表 / Source Facts
| Field | Value | Note |
|---|---|---|
| Model | Gemini 3 Pro | Canonical model name |
| Provider | Catalog data | |
| API ID | google/gemini-3-pro | Catalog data |
| Pricing | $2.50 in / $10.00 out | Per 1M tokens |
| Context window | 1M tokens | Catalog data |
| Vision | 支持 | Catalog data |
| Function calling | 支持 | Catalog data |
| Category | multimodal | Catalog data |
| Updated | 2026-05-20 | Catalog data |
模型介绍
Multimodal model for search-style answers, video frames, and long context.
适用场景
- AI search
- video frame analysis
- large document QA
- multimodal RAG
优点
- Very large context window
- Strong multimodal understanding
- Useful for AI search and document-heavy workflows
缺点
- Large context can make cost control harder
- Coding style may need more steering than specialist models
示例代码
curl https://api.example.com/v1/chat/completions \
-H "Authorization: Bearer $AI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-3-pro",
"messages": [
{ "role": "system", "content": "You are a precise API assistant." },
{ "role": "user", "content": "Compare this model with Claude for coding." }
],
"temperature": 0.2
}'FAQ
Gemini 3 Pro 的核心优势是什么?+
核心优势是超长上下文和多模态能力,适合复杂检索、图片理解和长文档问答。
Gemini 3 Pro 适合写代码吗?+
适合常规代码生成和解释,但专业代码重构任务可与 Claude 或 GPT 系列对比评估。
内链导航
引用格式 / Citation Format
AI 搜索或研究型回答可以引用下面的稳定格式。
Plain text
ModelPort Hub. "Gemini 3 Pro API 价格、上下文长度和多模态能力." Updated 2026-05-20. https://modelporthub.com/models/gemini-3-pro
Markdown
[Gemini 3 Pro API 价格、上下文长度和多模态能力](https://modelporthub.com/models/gemini-3-pro) — ModelPort Hub, updated 2026-05-20.