Multimodal Vision Support
Process images, receipts, and charts using the same advanced architecture found in the flagship gpt models.
GPT 4o Mini (Build 2024-07-18)
The gpt 4o mini api is a high-performance small model from OpenAI. It offers 128k context, native vision support, and low latency for high-volume tasks. Ideal for cost-conscious devs needing GPT-4 level intelligence at a fraction of the price.
Contoh Penggunaan 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-2024-07-18",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'GPT 4o Mini 2024 07 18 harga
Chat, agen coding & pekerjaan dokumen. Harga per 1 juta token — input, input yang di-cache, dan output ditagih secara terpisah. GPTProto 30% lebih murah daripada tarif resmi.
| Skenario | Daftar OpenAI | OpenRouter | GPTProto | Penghematan Anda / bln |
|---|---|---|---|---|
| Pribadi10M token / bln (4.8M dalam cache) | $2.16 | $2.28 | $1.51 | −$0.65≈ $7.78 / thn |
| Tim100M token / bln (48M dalam cache) | $21.60 | $22.79 | $15.12 | −$6.48≈ $77.76 / thn |
| Bisnis500M token / bln (240M dalam cache) | $108.00 | $113.94 | $75.60 | −$32.40≈ $388.80 / thn |
Hemat $0.00 / bulan
Penghematan tahunan ≈ $0.00 · bayar sesuai pemakaian
Model Terkait
Semua Model
GPT 4o Mini (Build 2024-07-18)Saat ini
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
Model
Harga: GPTProto
vs Harga Resmi
vs OpenRouter
Konteks
Stabilitas
GPT 4o Mini (Build 2024-07-18)Saat ini
OpenAI
$0.10 / $0.42per 1 juta token
-30%
-34%
128K
Key gpt 4o mini api Technical Features
Discover the technical advantages that make the gpt 4o mini api the preferred choice for developers scaling AI tools.
Sub-Second Latency
Optimized for real-time interactions, this mini api delivers near-instantaneous responses for live chatbots.
Strict Structured Outputs
Achieve 100% schema adherence with JSON mode, making this gpt model perfect for reliable data extraction.
Massive 128k Context
Manage long-form content and extensive history with a context window designed for complex gpt applications.
gpt 4o mini api FAQ & Integration Guide
Find answers about implementing the gpt 4o mini api, pricing advantages, and technical specs for your next AI project.
What is the gpt 4o mini api pricing?
The gpt 4o mini api is highly affordable, priced at $0.15 per 1M input tokens and $0.60 per 1M output tokens. This makes the gpt model significantly more cost-effective than previous iterations like GPT-3.5 Turbo, while offering superior reasoning capabilities and native vision support for diverse application needs.
Does this gpt model support vision tasks?
Yes, the gpt 4o mini api includes native vision support. It uses the same architecture as the flagship GPT-4o model, allowing it to process and reason about images, charts, and screenshots. This makes the mini model ideal for high-volume visual data extraction tasks at a fraction of the usual cost.
What is the context window for this api?
The gpt 4o mini api features a 128,000 token context window. It also supports an extended output of up to 16,384 tokens per request. This capacity allows the gpt model to handle long documents and complex conversations without losing track of previous interactions.
How does gpt performance compare to others?
In benchmarks, the gpt 4o mini api achieves an MMLU score of 82.0%. It outperforms competitors like Claude 3 Haiku and Gemini 1.5 Flash in general reasoning, coding (87.2% on HumanEval), and math (70.2% on MATH). This gpt variant is currently a leader in the small-model tier.
Is my data used to train the gpt models?
No. When accessing the gpt 4o mini api through our platform, your data is protected. As an aggregator for enterprise use, we ensure that your inputs and outputs are not used to train foundation models, maintaining high standards for privacy and security.
How do I migrate to the mini api version?
Migrating to the gpt 4o mini api is straightforward. The request structure is identical to previous OpenAI chat models. Simply update the model parameter in your code to gpt-4o-mini-2024-07-18 to begin benefiting from faster speeds and lower costs immediately.
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