Cost-Effective Intelligence
At $0.15 per million tokens, gpt 4o mini api provides top-tier reasoning at a fraction of the price of flagship models.
GPT 4o Mini
OpenAI's gpt 4o mini api delivers superior intelligence for high-volume tasks. With a 128k context window and multimodal support, this mini model excels in reasoning and structured data extraction while maintaining ultra-low latency and cost.
Ví dụ sử dụng API
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gpt-4o-mini",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'GPT 4o Mini Giá
Trò chuyện, tác tử lập trình và xử lý tài liệu. Tính phí trên mỗi 1 triệu token — token đầu vào, đầu vào được lưu vào bộ nhớ đệm và đầu ra được tính phí riêng. GPTProto thấp hơn 30% so với mức giá chính thức.
| Kịch bản | OpenAI giá niêm yết | OpenRouter | GPTProto | Bạn tiết kiệm / tháng |
|---|---|---|---|---|
| Cá nhân10M token / tháng (4.8M trong cache) | $2.04 | $2.15 | $1.43 | −$0.61≈ $7.34 / năm |
| Nhóm100M token / tháng (48M trong cache) | $20.40 | $21.52 | $14.28 | −$6.12≈ $73.44 / năm |
| Doanh nghiệp500M token / tháng (240M trong cache) | $102.00 | $107.61 | $71.40 | −$30.60≈ $367.20 / năm |
Tiết kiệm $0.00 / tháng
Tiết kiệm hàng năm ≈ $0.00 · trả theo mức sử dụng
Mô hình liên quan
Tất cả mô hình
GPT 4o MiniHiện tại
OpenAI · 128K context · $0.105/M input · $0.42/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Mô hình
Giá: GPTProto
so với giá chính thức
so với OpenRouter
Ngữ cảnh
Độ ổn định
GPT 4o MiniHiện tại
OpenAI
$0.10 / $0.42cho mỗi 1 triệu token
-30%
-34%
128K
gpt 4o mini api Key Features
Advanced capabilities of the gpt 4o mini api designed for modern developers.
Native Vision Support
Analyze images and extract text directly through the gpt 4o mini api, enabling multimodal applications without lag.
128K Context Window
Process massive datasets or long conversations easily with the gpt 4o mini api's extensive memory capacity.
Strict JSON Schema
Ensure 100% data reliability for your apps by using gpt 4o mini api structured outputs with strict schema enforcement.
gpt 4o mini api: Common Developer Questions
Get clear answers about integrating the gpt 4o mini api into your production stack, including pricing, performance, and multimodal features.
Is the gpt 4o mini api really cheaper than 3.5 Turbo?
Yes. The gpt 4o mini api is priced at $0.15 per million input tokens, which is approximately 60% more affordable than the older GPT-3.5 Turbo. Despite the lower cost, it offers significantly higher intelligence, scoring 82.0% on the MMLU benchmark. This makes it the ideal choice for developers who need to balance high-performance reasoning with tight operational budgets in high-volume production environments.
Does gpt 4o mini support image inputs?
The gpt 4o mini api is natively multimodal. It supports both text and image inputs in a single request. You can use it for tasks like optical character recognition (OCR), object detection, and generating descriptive captions for user-uploaded photos. Unlike previous small-scale models, it integrates vision directly into the reasoning process, allowing for sophisticated analysis of visual data without needing a separate model.
How reliable is the gpt 4o mini structured output?
It is exceptionally reliable. By using the "Strict" mode in the gpt 4o mini api, you can ensure 100% adherence to your provided JSON Schema. This is vital for developers building agentic workflows or API chains where the next step depends on predictable data structures. The model eliminates the common problem of hallucinated keys or malformed JSON, ensuring your downstream code never breaks due to unexpected output formats.
What is the context window for gpt 4o mini?
The gpt 4o mini api features a 128,000-token context window. This allows you to process large documents, extensive chat histories, or complex technical manuals in a single prompt. Additionally, it supports up to 16,384 output tokens, which is four times the capacity of standard GPT-4 models. This combination of a massive input window and generous output limit makes it perfect for long-form content generation and deep data analysis.
Can I migrate from GPT-3.5 to gpt 4o mini easily?
Migration is seamless. Since the gpt 4o mini api uses the same chat completion schema as previous OpenAI models, you only need to update the model string in your code to "gpt-4o-mini". All existing parameters like temperature, max_tokens, and frequency_penalty work exactly the same way. Most developers find that their existing prompts perform even better on the mini model without any additional engineering or adjustments required.
Is user data sent to gpt 4o mini used for training?
No. When you access the gpt 4o mini api through our platform, your data is protected under enterprise-grade privacy standards. OpenAI does not use data submitted via the API to train its foundation models. This ensures that your proprietary business data and sensitive user information remain confidential. We prioritize security and compliance, giving you the confidence to build internal tools and customer-facing apps safely.
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