deepseek-v4-pro API — MuAPI: AI Large Language Models
Zintegruj model AI deepseek-v4-pro za pomocą wydajnych interfejsów API z niskimi opóźnieniami i płatnością za rzeczywiste zużycie.
Zintegruj model AI deepseek-v4-pro za pomocą wydajnych interfejsów API z niskimi opóźnieniami i płatnością za rzeczywiste zużycie.
About this model
Uzyskaj dostęp programistyczny do modelu deepseek-v4-pro na platformie MuAPI z natychmiastową skalowalnością i niskimi opóźnieniami.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.0002 每次请求 | Flagship multi-step reasoning. |
Flagship multi-step reasoning.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Prompt | string | The user message or instruction for the model. | Solve this complex algorithm challenge in Python. |
| Adres URL obrazu | string | Optional image URL to include as multimodal input. | undefined |
| System Prompt | string | Optional system-level instruction to guide model behavior. | You are a world-class competitive programmer and AI researcher. |
| Temperatura | number | Controls output randomness (0.0 to 2.0). Lower values are more deterministic. | 1 |
| Maksymalna liczba tokenów | integer | Maximum number of tokens to generate. | 4096 |
| Top P (próbkowanie jądrowe) | number | Nucleus sampling parameter (0.0 to 1.0). | 1 |
| Frequency Penalty | number | Frequency penalty (-2.0 to 2.0). Reduces likelihood of repeating words. | 0 |
| Presence Penalty | number | Presence penalty (-2.0 to 2.0). Increases likelihood of new topics. | 0 |
The user message or instruction for the model.
Solve this complex algorithm challenge in Python.Optional image URL to include as multimodal input.
undefinedOptional system-level instruction to guide model behavior.
You are a world-class competitive programmer and AI researcher.Controls output randomness (0.0 to 2.0). Lower values are more deterministic.
1Maximum number of tokens to generate.
4096Nucleus sampling parameter (0.0 to 1.0).
1Frequency penalty (-2.0 to 2.0). Reduces likelihood of repeating words.
0Presence penalty (-2.0 to 2.0). Increases likelihood of new topics.
0Developer documentation
Wyślij żądanie POST do punktu końcowego z wymaganymi parametrami i kluczem API MuAPI.
Frequently asked