# Awan LLM

依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，Awan LLM（awanllm.com）是收錄於 AI API 的 AI 平台，每月產生 2838 次造訪，月流量變化量為 -1535（-35.1%）。其主要地理市場為土耳其（流量佔比 100%），並採用付費定價模式。依每月流量計算的主要競爭替代方案包括 Featherless AI（每月 18.18萬次造訪），Venice AI（每月 2508.84萬次造訪），Inworld AI（每月 32.33萬次造訪）。

Awan LLM is a subscription-based LLM inference API that trades the usual pay-per-token model for flat monthly plans with unlimited token generation up to each model's context window. It targets power users, developers, and startups who want unrestricted, uncensored access to open-weight models without watching a token meter.

## 主要觀測資料與規格

| 指標 | 數值 |
| :--- | :--- |
| 工具名稱 | Awan LLM |
| 代稱 | awan-llm |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 官方網域 | awanllm.com |
| 網站網址 | https://awanllm.com |
| 分類 | AI API, Large Language Models (LLMs), AI Agent, AI 助手, AI 角色扮演, AI 程式碼助手 |
| 定價模式 | 付費 |
| 每月造訪次數 | 2,838 |
| 月流量變化 | -1,535 |
| 月成長率 | -35.1% |
| 主要市場 | 土耳其 |
| 市佔率 | 100% |
| 直接造訪 | 1,157 |
| 自然搜尋造訪 | — |
| 社群造訪 | — |
| 推薦流量造訪 | 281 |
| 電子郵件造訪 | 61 |
| 評論分數 | 4.2 |
| 收藏數 | 0 |
| 支援平台 | 網站 |
| 帳務平台 |  |
| 屬性 | 功能: 網站; 價格: 付費 |
| 標籤 | LLM 推論, 雲端服務供應商, 不限 token 數, 高性價比, API, AI 助理, 資料處理, 程式碼自動完成, AI 智慧代理, 角色扮演 |

## 總覽

Awan LLM is a subscription-based LLM inference API that trades the usual pay-per-token model for flat monthly plans with unlimited token generation up to each model's context window. It targets power users, developers, and startups who want unrestricted, uncensored access to open-weight models without watching a token meter.

## 價格與方案

Subscription based, with a free Lite tier (20 requests/minute; capped daily requests by model size), Core at $5/month, Plus at $10/month, Pro at $20/month, and Max at $80/month. Mr. Enterprise pricing is quoted on request with SLA and custom model options. Token generation is advertised as unlimited across all tiers; rate limits and per-day request counts vary by tier and model size.

## 關鍵功能與能力

- **Unlimited tokens on flat plans:** A single monthly subscription covers token generation instead of metering every prompt and completion, which makes costs predictable for heavy workloads.
- **Unrestricted, uncensored access:** Models can be used without the extra alignment or moderation layers common on mainstream providers, which suits creative and roleplay workloads.
- **One API for many workloads:** A REST API that works for assistants, autonomous agents, bulk data processing, and code completion from one endpoint set and one key.
- **Self-hosted GPU infrastructure:** Because the company runs its own datacenters and GPUs, it claims removal of per-token billing overhead and no logging of prompts or outputs.
- **Tiered rate limits by model size:** Published rate limits and daily request caps are tiered by model size, so you can size a plan to the throughput you actually need.

## 主要使用情境

- **Agents that run without token budgeting (AI agent developer):** Run long-horizon autonomous agents without rationing tokens or stopping work mid-task to control spend.
- **Uncensored conversational experiences (Roleplay app builder):** Power AI companions and character chat apps that need unfiltered, unrestricted model responses at predictable cost.
- **High-volume data processing (Data teams):** Push large volumes of text through open-weight models for classification, summarization, or extraction without per-token billing surprises.
- **Limitless code completion (Software engineers):** Wire the API into an editor or IDE for code completions that do not incur a per-token charge on every keystroke.

## 優勢

- Flat monthly pricing removes the anxiety of watching token spend during long agent runs or heavy batch jobs
- Uncensored model access is useful for roleplay, creative fiction, and companion apps
- Self-owned datacenters underpin the unlimited-token economics rather than reselling cloud compute
- Simple, low-cost entry tiers make it easy to test the API before committing

## 限制

- Payments were handled via PayPal at time of review, with limited billing options
- Rate limits (requests per minute/day by model size) still apply despite “unlimited tokens” marketing
- Model catalog is smaller than major frontier API providers and skews toward open-weight Llama-class models
- Enterprise features like SLAs and custom fine-tunes are gated behind a sales conversation

## 常見問題

### How can Awan LLM offer unlimited token generation?
Because Awan LLM owns and operates its own datacenters and GPUs rather than reselling third-party compute, it can charge a flat monthly fee instead of billing per token sent and received.

### How do I get started with the API?
You sign up for an account and then follow the Quick-Start guide to call the API endpoints. Keys are issued per account, and the docs cover the supported endpoints.

### Are my prompts and outputs logged?
No. The project states that prompts and generations are not logged, and points to its Privacy Policy for the full detail on data handling.

### Is there a hidden usage limit?
The “unlimited” promise refers to tokens rather than throughput. Awan LLM publishes request rate limits and per-day request caps by model size (small, medium, large) on its Models and Pricing pages, and you are subject to those.

### Is this cheaper than self-hosting an LLM?
Probably not. Awan LLM's pitch is that a flat subscription is far cheaper than renting cloud GPUs or paying for the electricity to run your own hardware, especially at high, steady usage.

### Awan LLM 的每月流量與成長趨勢為何？
Awan LLM 目前每月有 2838 次造訪，月流量變化為 -1535（成長率 -35.1%）。其主要來源市場為土耳其（佔比 100%），其中包含每月 1157 次直接造訪與每月 — 次自然搜尋造訪。

### Awan LLM 是免費的嗎？其定價模式為何？
Awan LLM 採用付費定價模式。Subscription based, with a free Lite tier (20 requests/minute; capped daily requests by model size), Core at $5/month, Plus at $10/month, Pro at $20/month, and Max at $80/month. Mr. Enterprise pricing is quoted on request with SLA and custom model options. Token generation is advertised as unlimited across all tiers; rate limits and per-day request counts vary by tier and model size. 支援的帳務與結帳平台包括：未列出。

### 2026 年最佳的 Awan LLM 替代方案有哪些？
依據 OpenAITools.app 的分類流量與功能契合度，Awan LLM 的前五大替代方案為：1. Featherless AI（每月 18.18萬次造訪）; 2. Venice AI（每月 2508.84萬次造訪）; 3. Inworld AI（每月 32.33萬次造訪）; 4. JanitorAI（每月 1.25億次造訪）; 5. Modelflare（每月 12.1萬次造訪）。

### Awan LLM 支援哪些平台與核心 AI 能力？
Awan LLM 分類於 AI API, Large Language Models (LLMs), AI Agent, AI 助手，支援以下平台：網站，其核心能力標籤包括：LLM 推論, 雲端服務供應商, 不限 token 數, 高性價比, API, AI 助理。

## 替代方案

| 工具名稱 | 每月造訪次數 | 定價模式 | 比較 |
| :--- | :--- | :--- | :--- |
| [Featherless AI](https://openaitools.app/tw/tool/featherless-llm) | 181,781 | 付費 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-featherless-llm) |
| [Venice AI](https://openaitools.app/tw/tool/venice-ai) | 25,088,401 | 免費增值 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-venice-ai) |
| [Inworld AI](https://openaitools.app/tw/tool/inworld) | 323,330 | Usage-based (per characters, per audio hour, per tokens) + Enterprise | [比較](https://openaitools.app/tw/compare/awan-llm-vs-inworld) |
| [JanitorAI](https://openaitools.app/tw/tool/janitorai) | 125,494,484 | 免費增值 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-janitorai) |
| [Modelflare](https://openaitools.app/tw/tool/modelflare) | 121,024 | 付費 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-modelflare) |
| [Uncensored Chat by ModelsLab](https://openaitools.app/tw/tool/uncensored-chat-by-modelslab) | 292,816 | 免費增值、付費 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-uncensored-chat-by-modelslab) |
| [deAPI](https://openaitools.app/tw/tool/deapi) | 27,511 | Pay-per-use (free $5 credits, Enterprise plan available) | [比較](https://openaitools.app/tw/compare/awan-llm-vs-deapi) |
| [UnificAlly](https://openaitools.app/tw/tool/unifically) | 75,611 | 付費 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-unifically) |
| [WaveSpeedAI](https://openaitools.app/tw/tool/wavespeedai) | 2,164,832 | 付費 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-wavespeedai) |
| [Whispy AI](https://openaitools.app/tw/tool/whispy-ai) | 97,677 | 免費增值 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-whispy-ai) |
| [Neon AI](https://openaitools.app/tw/tool/neon-ai) | 11,703 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-neon-ai) |
| [api4ai](https://openaitools.app/tw/tool/background-removal) | 14,423 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/awan-llm-vs-background-removal) |

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來源：https://openaitools.app/tw/tool/awan-llm