any-llm API | MuAPI: AI Large Language Models
Jelajahi dan integrasikan model AI any-llm melalui MuAPI. Dapatkan inferensi berkecepatan tinggi dan harga kompetitif.
Jelajahi dan integrasikan model AI any-llm melalui MuAPI. Dapatkan inferensi berkecepatan tinggi dan harga kompetitif.
About this model
Model any-llm menyediakan kemampuan generasi AI mutakhir di platform MuAPI.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.01 per generation | muapiapp provides the most cost-effective solution, being 20-50% more affordable than other leading providers while consistently delivering high-quality results. |
| Fal.ai | $0.015 per generation | Fal.ai offers competitive pricing with a cost of $0.015 per generation. muapiapp is 20-50% cheaper, making it a more budget-friendly alternative without compromising on performance. |
| Replicate | $0.015 per generation | Replicate's pricing is nearly identical to Fal.ai at $0.015 per generation. With muapiapp, you gain a significant cost advantage while enjoying comparable or superior service and performance. |
muapiapp provides the most cost-effective solution, being 20-50% more affordable than other leading providers while consistently delivering high-quality results.
Fal.ai offers competitive pricing with a cost of $0.015 per generation. muapiapp is 20-50% cheaper, making it a more budget-friendly alternative without compromising on performance.
Replicate's pricing is nearly identical to Fal.ai at $0.015 per generation. With muapiapp, you gain a significant cost advantage while enjoying comparable or superior service and performance.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Prompt Teks | string | 用于Hasilkan响应的Prompt teks | Explain the concept of transformers in large language models in simple terms, with a short example. |
| 系统Prompt Teks | string | 用于向模型提供上下文或指令的系统Prompt teks。 | Only answer the question, do not provide any additional information or add any prefix/suffix other than the answer of the original question. Don't use markdown. |
| 模型 | Enum (15 options) | 要使用的模型名称。高级模型按标准模型 10 倍的费率收费，包括：deepseek/deepseek-r1、google/gemini-pro-1.5、openai/gpt-4.1、anthropic/claude-3-5-haiku、openai/gpt-4o、anthropic/claude-3.5-sonnet、openai/o3、meta-llama/llama-3.2-90b-vision-instruct、anthropic/claude-3.7-sonnet、openai/gpt-5-chat。 | google/gemini-2.5-flash |
| 推理 | boolean | 是否将推理内容作为最终答案的一部分。 | false |
| 优先级 | Enum (2 options) | Throughput 是Default选项，适用于大多数使用场景。对于重视低延迟的场景，建议使用 Latency。 | throughput |
| 温度 | int | 此设置会影响模型响应的多样性。较低的值会产生更可预测、更典型的响应，较高的值会鼓励更多样且不常见的响应。为 0 时，模型对给定Input始终返回相同响应。 | 1 |
| 最大 Token 数 | int | 这会设置模型响应可Hasilkan Token 数量的上限。Hasilkan内容不会超过此限制。最大值为上下文长度减去Prompt teks长度。 | null |
用于Hasilkan响应的Prompt teks
Explain the concept of transformers in large language models in simple terms, with a short example.用于向模型提供上下文或指令的系统Prompt teks。
Only answer the question, do not provide any additional information or add any prefix/suffix other than the answer of the original question. Don't use markdown.要使用的模型名称。高级模型按标准模型 10 倍的费率收费，包括：deepseek/deepseek-r1、google/gemini-pro-1.5、openai/gpt-4.1、anthropic/claude-3-5-haiku、openai/gpt-4o、anthropic/claude-3.5-sonnet、openai/o3、meta-llama/llama-3.2-90b-vision-instruct、anthropic/claude-3.7-sonnet、openai/gpt-5-chat。
google/gemini-2.5-flash是否将推理内容作为最终答案的一部分。
falseThroughput 是Default选项，适用于大多数使用场景。对于重视低延迟的场景，建议使用 Latency。
throughput此设置会影响模型响应的多样性。较低的值会产生更可预测、更典型的响应，较高的值会鼓励更多样且不常见的响应。为 0 时，模型对给定Input始终返回相同响应。
1这会设置模型响应可Hasilkan Token 数量的上限。Hasilkan内容不会超过此限制。最大值为上下文长度减去Prompt teks长度。
nullDeveloper documentation
Panduan integrasi cepat untuk any-llm. Hubungkan dengan kunci API MuAPI Anda dan mulai lakukan panggilan inferensi.
Frequently asked
Any LLM 响应速度快、无冷启动，每次生成仅需 $0.01，并提供适用于各种 NLP 任务的丰富功能。其稳健技术确保了高性能和可靠性。
你可以通过设置 `temperature` 参数控制模型响应的多样性。较低的温度值（接近 0）会带来更可预测的响应，而较高的值则会鼓励更多样、更具创意的输出。
可以。Any LLM 的设计具有通用性，支持摘要、文本生成、理解和交互式聊天等多种功能，适合各种应用场景。
`max_tokens` 参数限制生成输出的长度。应根据预期响应长度设置，同时考虑总上下文长度，避免重要内容被截断。