# LiteLLM vs Quick Intel

LiteLLM records 576,967 monthly visits with +7.9% month-over-month growth and Freemium, Contact for Pricing pricing. Quick Intel records 7,800 monthly visits with +35.9% growth and Free pricing.

| Metric | [LiteLLM](https://openaitools.app/tool/litellm) | [Quick Intel](https://openaitools.app/tool/quickintel-io) |
| :--- | :--- | :--- |
| Website URL | https://litellm.ai | https://quickintel.io |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | AI Crypto, Web3, AI API, AI Detector |
| Pricing Model | Freemium, Contact for Pricing | Free |
| Monthly Visits | 576,967 | 7,800 |
| MoM Growth Rate | +7.9% | +35.9% |
| Primary Market | United States | Indonesia |
| Direct Visits | 228,967 | 5,037 |
| Review Score | 4.8 | 4.2 |
| Saved Count | 5 | 5 |
| Supported Platforms | Website | Website |

## LiteLLM

LiteLLM is an open-source AI gateway and Python SDK designed to remove vendor lock-in from LLM applications. The SDK lets you call models from OpenAI, Anthropic, Google Vertex AI, Bedrock, Mistral, Azure and dozens of other providers using the same OpenAI-style request format, so switching models is a configuration change rather than a code rewrite. The same project ships an AI Gateway (often called the proxy) that turns that abstraction into a shared service for an entire organization.

That gateway is where most platform teams find the value. It issues virtual keys scoped by team, project or application, tracks spend per key against budgets, applies rate limits (TPM and RPM), and exposes dashboards for request volume, token usage and cost per model. Routing features include load balancing across deployments, automatic fallbacks when a provider fails, retries and budget-based rerouting, plus guardrails for PII masking, prompt-injection detection and secret detection.

The project is genuinely open source with the code on GitHub (BerriAI/litellm) and a very active community. Enterprise features add SSO, audit logs, and support for agents and MCP servers through the same gateway. Notably, LiteLLM supports day-zero access to new models so teams can adopt them as soon as they ship, and it can also serve self-hosted, fine-tuned and internal models behind the same key. Companies cited on the site include NVIDIA, Netflix, Okta, Lemonade and AT&T.

**Pricing & Plans:** Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team.

- **OpenAI-compatible API for 100+ LLMs:** Call 100+ providers and 1,800+ models using one request format, so you can swap models without changing application code.
- **Virtual keys, teams and budgets:** Issue scoped keys per team, project or app, set monthly spend caps and see exactly who is driving usage and cost.
- **Routing, load balancing and fallbacks:** Distribute traffic across deployments, retry on failure and automatically fall back to another model or provider when one goes down.
- **Observability and spend tracking:** Dashboards for request volume, tokens and cost per model, with support for logging and analytics integrations.
- **Guardrails and policy controls:** Plug in PII masking, prompt-injection detection and secret-detection guardrails, and manage policies centrally instead of in every app.

**Strengths:** Truly open source with a large GitHub community and self-hosting option; Very broad provider coverage with an OpenAI-compatible interface; Enterprise-grade controls: virtual keys, budgets, rate limits and audit logs; Day-zero support for new models and easy fallback when providers fail

**Limitations:** Self-hosting means you own deployment, upgrades and uptime; Feature depth varies between the free open-source version and enterprise plan; The breadth of configuration options can be overwhelming for small projects

[Profile (Markdown)](https://openaitools.app/tool/litellm.md)

## Quick Intel

Quick Intel has evolved into a token security infrastructure layer for Web3 products. Instead of being an end-user scanner alone, it now sells risk intelligence through APIs that builders embed directly into wallets, trading interfaces, DeFi dashboards, and Telegram or Discord bots. The site emphasizes getting mature token risk data without rebuilding scanner infrastructure or negotiating enterprise contracts.

The platform covers a broad set of security signals: token identity and ownership, honeypot detection, buy and sell taxes, price impact, liquidity depth, holder distribution, and contract authority functions such as mint, blacklist, fee modification, max wallet, and pause. It also analyzes deployer history, which helps surface tokens created by wallets with a track record of scams. These checks are returned in normalized responses so results are consistent across chains.

Scale is a central part of the pitch — 60+ chains, over 75 million unique tokens scanned, and more than 15 million API calls weekly, with integrations reaching DEXTools, DexScreener, GeckoTerminal, wallets, bots, and security partners. Quick Intel also ships consumer-facing surfaces: iOS and Android apps, a web app, Discord and Telegram bots, and a MetaMask Snap, so the same intelligence is available at the point of decision and through an API. A free tier lets teams test the endpoints before committing to a paid plan.

**Pricing & Plans:** Quick Intel offers a free tier to try the APIs, with paid API plans that scale by traffic and coverage. Consumer apps and bots are also available. Check the API pricing page for the current tiers.

- **Token identity and qHash matching:** Single-call endpoints return token identity, ownership, and a qHash match so you can identify and compare tokens quickly.
- **Real-time risk signals:** Flags honeypots, buy and sell taxes, transfer restrictions, and other danger signals in real time as trades happen.
- **Contract authority checks:** Detects mint, blacklist, fee-modification, max-wallet, pause, and other scam-capable functions in contract code.
- **Liquidity and holder intelligence:** Track liquidity depth, holder distribution, and deployer history to judge how sound or concentrated a token is.
- **Developer-first API:** Endpoint docs and integrations let you embed security signals in wallets, trading tools, scanners, and bots via REST API.

**Strengths:** Wide chain coverage with normalized API responses; Strong coverage of honeypot, tax, and contract authority checks; Multiple access points: apps, bots, a MetaMask Snap, and APIs; Free tier available for testing and smaller projects

**Limitations:** Focused on developers and API integration, so non-technical traders get less value; Token risk scores are signals, not guarantees — false positives and false negatives happen; Full coverage depends on plan tier and rate limits; Crypto security data can quickly go stale as contracts change

[Profile (Markdown)](https://openaitools.app/tool/quickintel-io.md)

## Frequently Asked Questions

### How do LiteLLM and Quick Intel compare in monthly traffic?

LiteLLM has 576,967 monthly visits, while Quick Intel has 7,800. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

LiteLLM has a month-over-month growth rate of +7.9%; Quick Intel has +35.9%.

### How does pricing compare?

LiteLLM: Freemium, Contact for Pricing. Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team. Quick Intel: Free. Quick Intel offers a free tier to try the APIs, with paid API plans that scale by traffic and coverage. Consumer apps and bots are also available. Check the API pricing page for the current tiers.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Provides a massive hosted model catalog with instant access, but requires trusting a third-party platform instead of self-hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Hosts high-performance open-weight models directly on dedicated serverless infrastructure, but does not route across external providers. | [.md](https://openaitools.app/tool/together-ai.md) |
| 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Delivers automated model failover and budget governance through an API gateway, but with less open-source customization. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 4 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Unified LLM gateway with failover and analytics, but offers less robust open-source developer SDK support. | [.md](https://openaitools.app/tool/zenmux.md) |
| 5 | [AI or Not](https://openaitools.app/tool/ai-or-not) | 375,863 | +12.3% | Freemium, Contact for Pricing | Multi-modal AI detection API that flags synthetic images, text, audio, video and deepfakes | [.md](https://openaitools.app/tool/ai-or-not.md) |
| 6 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | Offers advanced enterprise observability and guardrail tools, but lacks LiteLLM's lightweight self-hosted proxy simplicity. | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 7 | [Eden AI](https://openaitools.app/tool/eden-ai) | 173,828 | +6.5% | Paid, Contact for Pricing | Provides managed multi-provider AI routing and cost tracking, but lacks the native open-source flexibility of LiteLLM. | [.md](https://openaitools.app/tool/eden-ai.md) |
| 8 | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | 168,426 | -14.5% | Freemium, Contact for Pricing | An open-source alternative for unifying LLM providers, but features a less extensive ecosystem of middleware integrations. | [.md](https://openaitools.app/tool/llm-gateway.md) |
| 9 | [Qodex](https://openaitools.app/tool/qodex) | 140,666 | +10.1% | Contact for Pricing | Execution-backed code review that runs real API, UI and security tests on every pull request | [.md](https://openaitools.app/tool/qodex.md) |
| 10 | [Surf](https://openaitools.app/tool/surf) | 116,252 | -18.9% | Free, Pro, Max, API credits | Institution-grade crypto and equities intelligence, delivered through a chat-style AI analyst. | [.md](https://openaitools.app/tool/surf.md) |

---
Source: https://openaitools.app/compare/litellm-vs-quickintel-io

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)