# Awan LLM

Selon la télémétrie OpenAITools.app vérifiée le 2026-11-11, Awan LLM (awanllm.com) est une plateforme d'IA indexée sous AI API générant 2,84 k visites mensuelles avec un delta de trafic mensuel de -1,54 k (-35,1 %). Son marché géographique principal est Turquie (100 % de part de trafic), et elle fonctionne selon un modèle tarifaire Payant. Les principales alternatives concurrentes par volume mensuel incluent Featherless AI (181,78 k visites/mois), Venice AI (25,09 M visites/mois), Inworld AI (323,33 k visites/mois).

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.

## Télémétrie et spécifications clés

| Métrique | Valeur |
| :--- | :--- |
| Nom de l'outil | Awan LLM |
| Identifiant | awan-llm |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Domaine officiel | awanllm.com |
| URL du site web | https://awanllm.com |
| Catégories | AI API, Large Language Models (LLMs), AI Agent, Assistant IA, Roleplay IA, Assistant de code IA |
| Modèle tarifaire | Payant |
| Visites mensuelles | 2 838 |
| Variation du trafic mensuel | -1 535 |
| Taux de croissance mensuel | -35,1 % |
| Marché principal | Turquie |
| Part de marché | 100 % |
| Visites directes | 1 157 |
| Visites de recherche organique | — |
| Visites sociales | — |
| Visites par référencement | 281 |
| Visites par e-mail | 61 |
| Score d'avis | 4,2 |
| Nombre d'enregistrements | 0 |
| Plateformes prises en charge | Site web |
| Plateformes de facturation |  |
| Attributs | Fonctionnalités: Site web; Tarification: Payant |
| Étiquettes | Inférence LLM, Fournisseur cloud, Tokens illimités, Économique, API, Assistant IA, traitement des données, Complétion de code, Agents IA, jeu de rôle |

## Aperçu

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.

## Tarifs et offres

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.

## Fonctionnalités clés et capacités

- **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.

## Cas d'usage principaux

- **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.

## Forces

- 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

## Limites

- 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

## Questions fréquentes

### 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.

### Quel est le trafic mensuel et la tendance de croissance de Awan LLM ?
Awan LLM reçoit actuellement 2,84 k visites mensuelles, avec une variation de trafic mensuelle de -1,54 k (taux de croissance de -35,1 %). Son marché source principal est Turquie (100 % de part), dont 1,16 k visites directes/mois et — visites de recherche organique/mois.

### Awan LLM est-il gratuit ? Quel est son modèle tarifaire ?
Awan LLM fonctionne selon un modèle tarifaire Payant. 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. Les plateformes de facturation et de paiement prises en charge incluent : non répertorié.

### Quelles sont les meilleures alternatives à Awan LLM en 2026 ?
Sur la base du trafic de catégorie et de l'adéquation des fonctionnalités sur OpenAITools.app, les cinq principales alternatives à Awan LLM sont : 1. Featherless AI (181,78 k visites/mois); 2. Venice AI (25,09 M visites/mois); 3. Inworld AI (323,33 k visites/mois); 4. JanitorAI (125,49 M visites/mois); 5. Modelflare (121,02 k visites/mois).

### Quelles plateformes et capacités d'IA principales Awan LLM prend-il en charge ?
Awan LLM est classé sous AI API, Large Language Models (LLMs), AI Agent, Assistant IA, prend en charge les plateformes suivantes : Site web, et ses étiquettes de capacités principales incluent : Inférence LLM, Fournisseur cloud, Tokens illimités, Économique, API, Assistant IA.

## Alternatives

| Nom de l'outil | Visites mensuelles | Modèle tarifaire | Comparer |
| :--- | :--- | :--- | :--- |
| [Featherless AI](https://openaitools.app/fr/tool/featherless-llm) | 181 781 | Payant | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-featherless-llm) |
| [Venice AI](https://openaitools.app/fr/tool/venice-ai) | 25 088 401 | Freemium | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-venice-ai) |
| [Inworld AI](https://openaitools.app/fr/tool/inworld) | 323 330 | Usage-based (per characters, per audio hour, per tokens) + Enterprise | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-inworld) |
| [JanitorAI](https://openaitools.app/fr/tool/janitorai) | 125 494 484 | Freemium | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-janitorai) |
| [Modelflare](https://openaitools.app/fr/tool/modelflare) | 121 024 | Payant | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-modelflare) |
| [Uncensored Chat by ModelsLab](https://openaitools.app/fr/tool/uncensored-chat-by-modelslab) | 292 816 | Freemium, Payant | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-uncensored-chat-by-modelslab) |
| [deAPI](https://openaitools.app/fr/tool/deapi) | 27 511 | Pay-per-use (free $5 credits, Enterprise plan available) | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-deapi) |
| [UnificAlly](https://openaitools.app/fr/tool/unifically) | 75 611 | Payant | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-unifically) |
| [WaveSpeedAI](https://openaitools.app/fr/tool/wavespeedai) | 2 164 832 | Payant | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-wavespeedai) |
| [Whispy AI](https://openaitools.app/fr/tool/whispy-ai) | 97 677 | Freemium | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-whispy-ai) |
| [Neon AI](https://openaitools.app/fr/tool/neon-ai) | 11 703 | Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-neon-ai) |
| [api4ai](https://openaitools.app/fr/tool/background-removal) | 14 423 | Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/awan-llm-vs-background-removal) |

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Source : https://openaitools.app/fr/tool/awan-llm