kimi-k3 API — MuAPI: AI Large Language Models
Zintegruj model AI kimi-k3 za pomocą wydajnych interfejsów API z niskimi opóźnieniami i płatnością za rzeczywiste zużycie.
Zintegruj model AI kimi-k3 za pomocą wydajnych interfejsów API z niskimi opóźnieniami i płatnością za rzeczywiste zużycie.
About this model
Uzyskaj dostęp programistyczny do modelu kimi-k3 na platformie MuAPI z natychmiastową skalowalnością i niskimi opóźnieniami.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.0001 每次请求 | Token-based 定价 ($0.70/M input tokens, $2.80/M output tokens). |
Token-based 定价 ($0.70/M input tokens, $2.80/M output tokens).
** 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. | Explain the architecture of Mixture-of-Experts models. |
| 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 an expert AI researcher and coding assistant. |
| 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.
Explain the architecture of Mixture-of-Experts models.Optional image URL to include as multimodal input.
undefinedOptional system-level instruction to guide model behavior.
You are an expert AI researcher and coding assistant.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