Elite Coding and Logic
DeepSeek V3 API scores 82.6% on HumanEval, making it a powerhouse for automated programming, unit testing, and refactoring tasks.
DeepSeek v3
DeepSeek V3 API delivers frontier-level intelligence with 671B parameters. Optimized for coding and math, this MoE model offers a 128k context window and GPT-4o performance at significantly lower costs through GPTProto.com.
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": "deepseek-v3",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'DeepSeek v3 harga
Chat, agen coding & pekerjaan dokumen. Harga per 1 juta token — input, input yang di-cache, dan output ditagih secara terpisah. GPTProto 40% lebih murah daripada tarif resmi.
| Skenario | Daftar DeepSeek | OpenRouter | GPTProto | Penghematan Anda / bln |
|---|---|---|---|---|
| Pribadi10M token / bln | $4.32 | $4.56 | $2.60 | −$1.73≈ $20.76 / thn |
| Tim100M token / bln | $43.25 | $45.62 | $25.95 | −$17.30≈ $207.55 / thn |
| Bisnis500M token / bln | $216.23 | $228.12 | $129.75 | −$86.48≈ $1037.76 / thn |
Hemat $0.00 / bulan
Penghematan tahunan ≈ $0.00 · bayar sesuai pemakaian
Model Terkait
Semua Model
DeepSeek v3Saat ini
DeepSeek · $0.1622/M input · $0.6487/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
DeepSeek v3Saat ini
DeepSeek
$0.16 / $0.65per 1 juta token
-40%
-43%
—
DeepSeek V3 API Standout Features
Discover the technical innovations that make the DeepSeek V3 API a leader in model efficiency.
Advanced MoE Architecture
With 671B total parameters and 37B active per token, DeepSeek delivers GPT-4o level intelligence with superior inference speed.
Massive 128k Context
Process high-volume documents or entire codebases easily using the DeepSeek V3 API's extensive 128,000 token context window.
Unbeatable API Pricing
Save over 90% on input costs compared to frontier rivals. DeepSeek V3 API offers a standard input price of just $0.14 per 1M tokens.
DeepSeek V3 API Frequently Asked Questions
Find technical details and integration tips for the DeepSeek V3 API to maximize your project performance.
What makes DeepSeek V3 API cost-effective?
DeepSeek uses a Mixture-of-Experts architecture where only 37B parameters are active per token. This efficiency, combined with FP8 precision training, allows us to offer the DeepSeek V3 API at prices significantly lower than GPT-4o while maintaining elite performance in coding and math tasks.
Is the DeepSeek V3 API compatible with OpenAI?
Yes. The DeepSeek V3 API is designed to be fully OpenAI-compatible. Developers can migrate existing workflows by simply updating the base URL and model name in their current SDK setup, making the transition to DeepSeek seamless and immediate.
How does DeepSeek handle long context windows?
DeepSeek supports up to 128,000 tokens. It uses Multi-head Latent Attention (MLA) to manage memory efficiently, ensuring that even large-scale data extraction or long-form synthesis tasks remain fast and reliable via the DeepSeek V3 API.
What are the benchmark scores for DeepSeek V3?
DeepSeek V3 excels in technical fields, scoring 82.6% on HumanEval and 90.2% on MATH-500. These results prove that DeepSeek is a top-tier choice for programming, logic, and scientific applications compared to other frontier models.
Does GPTProto.com offer context caching for DeepSeek?
Yes. DeepSeek natively supports context caching. When you use the DeepSeek V3 API via our platform, repeat prompts can receive up to a 90% discount on input costs, making it the most economical choice for repetitive agentic workflows.
Can the DeepSeek V3 API process images or video?
Currently, the standard DeepSeek V3 API is a text-only model optimized for reasoning and code. For multimodal tasks involving vision, developers should look for specific vision-enabled versions of the DeepSeek model family.
Further Reading
Panduan, perbandingan, dan pembaruan terkait model ini.
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