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.
Esempi di utilizzo dell’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"
}
]
}'Prezzi GPT 4o Mini
Chat, agenti di coding e lavoro sui documenti. Prezzi per 1M di token: input, input memorizzato nella cache e output vengono fatturati separatamente. GPTProto costa il 30% in meno rispetto alle tariffe ufficiali.
| Scenario | Listino ufficiale OpenAI | OpenRouter | GPTProto | Risparmi al mese |
|---|---|---|---|---|
| Personale10M token/mese (4.8M nella cache) | $2.04 | $2.15 | $1.43 | −$0.61≈ $7.34 / anno |
| Team100M token/mese (48M nella cache) | $20.40 | $21.52 | $14.28 | −$6.12≈ $73.44 / anno |
| Aziendale500M token/mese (240M nella cache) | $102.00 | $107.61 | $71.40 | −$30.60≈ $367.20 / anno |
Risparmia $0.00 / mese
Risparmio annuale ≈ $0.00 · pagamento a consumo
Modelli correlati
Tutti i modelli
GPT 4o MiniAttuale
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
Modello
Prezzo: GPTProto
vs ufficiale
vs OpenRouter
Contesto
Stabilità
GPT 4o MiniAttuale
OpenAI
$0.10 / $0.42per 1M di 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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