Integrasikan model AI any-llm melalui platform MuAPI dengan latensi ultra-rendah. Harga fleksibel bayar sesuai penggunaan, penskalaan instan, dan waktu aktif maksimal.
Model any-llm, tersedia di MuAPI dengan penagihan fleksibel sesuai penggunaan dan konkurensi tinggi.
Tentang model ini
Akses terprogram ke model any-llm di platform MuAPI. Dirancang untuk lingkungan produksi dengan integrasi REST API yang mulus dan keandalan tinggi.
Analisis biaya
| Penyedia | Biaya | Catatan |
|---|---|---|
| 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.
** Harga pesaing diperkirakan berdasarkan arsitektur model dan tingkat penggunaan yang serupa.
Skema konfigurasi
| Parameter | Jenis | Keterangan | Bawaan |
|---|---|---|---|
| cepat | string | cepat | Explain the concept of transformers in large language models in simple terms, with a short example. |
| Perintah Sistem | string | cepat. | 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. |
| Model | Enum (opsi 15) | . 10, : 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, antropik/claude-3.7-soneta, openai/gpt-5-chat. | google/gemini-2.5-flash |
| Penalaran | boolean | . | false |
| Prioritas | Enum (opsi 2) | Throughput bawaan, . , Latensi. | throughput |
| Suhu | int | . , , . 0, masukan. | 1 |
| Token maksimum | int | Tanda. . mengingatkan. | null |
cepat
Explain the concept of transformers in large language models in simple terms, with a short example.cepat.
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.. 10, : 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, antropik/claude-3.7-soneta, openai/gpt-5-chat.
google/gemini-2.5-flash.
falseThroughput bawaan, . , Latensi.
throughput. , , . 0, masukan.
1Tanda. . mengingatkan.
nullDokumentasi pengembang
Kirim permintaan POST ke endpoint model dengan kunci MuAPI Anda di header dan parameter yang diperlukan dalam isi JSON.
Sering ditanyakan