
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.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | deepseek.com | lamini.ai |
| 定价模式 | 免费增值 | 免费增值,定价请咨询 |
| 月访问量 | 3.73亿 (372,761,591) | 4158 (4,158) |
| 月度环比流量变化 | +1536.22万 (+4.3%) | +12 (+0.3%) |
| 主要市场与份额 | 🇨🇳 中国 (50.5%) | 🇺🇸 美国 (92.9%) |
| 直接访问 / 月 | 2.92亿 | 1637 |
| 用户评分 | 4.8 | 4.3 |
| 支持的平台 | 网站 | 网站 |
由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI,token 成本极低。
依托稀疏混合专家架构(V4-Pro 为 1.6T 中的 49B 激活参数),以极低延迟与内存开销处理最多 100 万 token。
由 DeepSeek-R1 开创并融入 V3.2 与 V4 思考模式,对复杂数学、逻辑与代码调试展示逐步自校验过程。
缓存命中时,输入 token 成本降至 Flash 的每百万 0.003 美元与 V4-Pro 的每百万 0.022 美元,非高峰 UTC 时段费率再低 50%。
在 chat.deepseek.com 及 iOS/Android 上免费提供文档上传、推理模式与网页搜索,核心模型不必付费墙。

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.

提供巨大的上下文窗口与深度的 Google 生态系整合,但对于纯推理任务感觉较不够专精。
提供巨大的上下文窗口与深度的 Google 生态系整合,但对于纯推理任务感觉较不够专精。

免费 / 开源提供同等级的开源权重基础模型与多语言效能,但需要自行架构主机或第三方推理设定。
免费 / 开源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
免费 / 开源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.