
Lamini is an enterprise LLM platform for building, fine-tuning, controlling and deploying custom large language models. It targets teams that need their own accurate, private models rather than a generic API: you bring your data, fine-tune open models on the platform, and serve them with tuned runtimes designed to reduce hallucinations. It covers use cases like text-to-SQL, classification, RAG and function calling, and is known for running workloads on AMD GPUs.
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | deepseek.com | lamini.ai |
| 定價模式 | 免費增值 | 免費增值、需聯絡報價 |
| 每月造訪次數 | 3.73億 (372,761,591) | 4158 (4,158) |
| 月流量變化量 | +1536.22萬 (+4.3%) | +12 (+0.3%) |
| 主要市場與市佔 | 🇨🇳 中國 (50.5%) | 🇺🇸 美國 (92.9%) |
| 每月直接造訪 | 2.92億 | 1637 |
| 使用者評分 | 4.8 | 4.3 |
| 支援平台 | 網站 | 網站 |
由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。
依託稀疏混合專家架構(V4-Pro 為 1.6T 中的 49B 啟用參數),以極低延遲與記憶體開銷處理最多 100 萬 token。
由 DeepSeek-R1 開創並融入 V3.2 與 V4 思考模式,對複雜數學、邏輯與程式碼除錯展示逐步自驗證過程。
快取命中時,輸入 token 成本降至 Flash 的每百萬 0.003 美元與 V4-Pro 的每百萬 0.022 美元,離峰 UTC 時段費率再低 50%。
在 chat.deepseek.com 及 iOS/Android 上免費提供文件上傳、推理模式與網頁搜尋,核心模型無須付費牆。

Lamini is an enterprise LLM platform for building, fine-tuning, controlling and deploying custom large language models. It targets teams that need their own accurate, private models rather than a generic API: you bring your data, fine-tune open models on the platform, and serve them with tuned runtimes designed to reduce hallucinations. It covers use cases like text-to-SQL, classification, RAG and function calling, and is known for running workloads on AMD GPUs.
Train and fine-tune open large language models on your own domain data so output matches your vocabulary, formats and policies.
Tuned inference runtimes and grounding techniques aimed at cutting hallucinations and raising accuracy on domain-specific tasks.
Supports common enterprise patterns — retrieval-augmented generation, text-to-SQL, text classification and function calling.
Run training and inference workloads on AMD GPUs as an alternative GPU supply path for LLM workloads.

提供巨大的上下文視窗與深度的 Google 生態系整合,但對於純推理任務感覺較不夠專精。
提供巨大的上下文視窗與深度的 Google 生態系整合,但對於純推理任務感覺較不夠專精。

免費 / 開源提供同等級的開源權重基礎模型與多語言效能,但需要自行架構主機或第三方推論設定。
免費 / 開源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
免費 / 開源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.