deepseek-v4-flash API — MuAPI: AI Large Language Models
Integrera AI-modellen deepseek-v4-flash via ett högpresterande API med låg latens och ren förbrukningsbaserad prissättning.
Integrera AI-modellen deepseek-v4-flash via ett högpresterande API med låg latens och ren förbrukningsbaserad prissättning.
About this model
Få tillgång till deepseek-v4-flash programmatiskt på MuAPI med omedelbar skalbarhet, automatisk redundans och minimal latens.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.0001 每次请求 | Low-latency inference. |
Low-latency inference.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Prompt (Instruktion) | string | The user message or instruction for the model. | Explain DeepSeek V4 Flash architecture and efficiency optimizations. |
| Bild-URL | string | Optional image URL to include as multimodal input. | undefined |
| System Prompt | string | Optional system-level instruction to guide model behavior. | You are an expert AI software engineer. |
| Temperatur | number | Controls output randomness (0.0 to 2.0). Lower values are more deterministic. | 1 |
| Maximalt antal tokens | integer | Maximum number of tokens to generate. | 4096 |
| Top P (Nucleus-urval) | 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.
Explain DeepSeek V4 Flash architecture and efficiency optimizations.Optional image URL to include as multimodal input.
undefinedOptional system-level instruction to guide model behavior.
You are an expert AI software engineer.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
Skicka en autentiserad POST-förfrågan till slutpunkten med dina valda parametrar och din MuAPI-nyckel.
Frequently asked