# OpenLIT vs Use AI

OpenLIT records 6,028 monthly visits with -18.3% month-over-month growth and Free pricing. Use AI records 8,751,848 monthly visits with -10.2% growth and Free Trial, Paid pricing.

| Metric | [OpenLIT](https://openaitools.app/tool/openlit) | [Use AI](https://openaitools.app/tool/use-ai) |
| :--- | :--- | :--- |
| Website URL | https://openlit.io | https://use.ai |
| Categories | Large Language Models (LLMs), AI Developer Tools, AI Monitor, Open Source AI Models | AI Assistant, AI Chatbot, Large Language Models (LLMs), AI Models |
| Pricing Model | Free | Free Trial, Paid |
| Monthly Visits | 6,028 | 8,751,848 |
| MoM Growth Rate | -18.3% | -10.2% |
| Primary Market | United States | United States |
| Direct Visits | 2,375 | 720,337 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## OpenLIT

OpenLIT positions itself as an agent harness engineering platform rather than a single-purpose monitoring tool. The idea is that the model is only one part of a reliable agent; the harness around it — prompts, context, tools, rules, and secrets — is what teams actually need to inspect and fix. OpenLIT brings those pieces together so you can trace what happened, evaluate whether it worked, guard the parts that should not break, and then change the harness without redeploying your application.

Instrumentation is deliberately flexible. Application teams can add an SDK and call openlit.init() to get tracing in-process, while teams that prefer zero-code coverage can use an eBPF-based controller in the Enterprise Edition. For infrastructure visibility there is a GPU collector for NVIDIA, AMD, and Intel cards, and if you already run OpenTelemetry tooling, you can simply point OTLP exporters at your OpenLIT deployment.

Because the project is OpenTelemetry-native and Apache 2.0 licensed, the data path stays portable. Traces and metrics can live in the OpenLIT UI and its ClickHouse-backed store, or be exported to Grafana, Datadog, or any OTLP backend. Storage is built on ClickHouse to keep queries fast across high-volume LLM and agent telemetry, and the whole stack can be self-hosted with Docker Compose or Kubernetes.

**Pricing & Plans:** The open-source edition is the free tier and is licensed under Apache 2.0, covering agent observability, evaluations, guardrails, Prompt Hub, Vault, OpenGround, coding-agent monitoring, and GPU metrics. There is no charge to self-host and no license key required. OpenLIT Cloud is not generally available yet. A separate Enterprise Edition adds capabilities such as the zero-code eBPF controller; check the official pricing page for current enterprise terms.

- **LLM and agent tracing:** Capture OpenTelemetry traces and metrics for every LLM call, tool invocation, retrieval, and agent step, and filter them by user, session, cost, latency, or custom metadata.
- **Evaluations on real traffic:** Score production traffic or experiments with LLM-as-a-judge, heuristic checks, or human review so you can measure accuracy, relevance, and safety over time.
- **Prompt Hub and versioning:** Manage and version prompts in Prompt Hub, then deploy, roll back, and update prompts without shipping new application code.
- **Vault for API keys:** Store and rotate OpenAI, Anthropic, and other LLM API keys outside your codebase with an encrypted, rotating secrets vault.
- **Cost, latency, and GPU monitoring:** Track spend, latency, and quality across AI workloads, and monitor GPU utilization, memory, temperature, and power for NVIDIA, AMD, and Intel hardware.

**Strengths:** OpenTelemetry-native design keeps traces and metrics portable and avoids vendor lock-in; Broad free open-source edition under Apache 2.0 with unlimited self-hosted use; Covers tracing, evals, guardrails, prompts, secrets, cost, and GPU monitoring in one platform; 56+ integrations across LLMs, agent frameworks, and vector databases, plus OTLP ingest from other tools

**Limitations:** Requires you to run and maintain your own ClickHouse and UI deployment to use the open-source edition; OpenLIT Cloud is not generally available, so there is no hosted option for teams that do not want to self-host; Some capabilities like the zero-code eBPF controller are tied to the Enterprise Edition; Feature surface is broad, so new users may need time to navigate the many modules

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

## Use AI

Use AI positions itself as a single AI workspace rather than yet another chatbot. Instead of paying for three or four separate subscriptions and remembering which model is best at what, you get a unified chat surface where Claude, GPT, Gemini, Grok, DeepSeek, Kimi, Qwen, GLM and Meta models all live behind one prompt box. The company is explicit that it simply provides access to third-party models and is not affiliated with any of the providers, so what you are buying is convenience and consolidation rather than a proprietary model.,Around that core chat there is a fuller productivity layer. You can create documents, PDFs, slide decks and spreadsheets from natural-language prompts, generate images with current image models, and run Deep Research jobs that read across dozens or hundreds of web sources to produce cited reports. Projects and knowledge bases keep related conversations and files together, a file library stores your uploads, and 100+ app connectors let the assistant pull in or act on data from tools you already use. Memory and context are carried between sessions, scaling from a limited allowance on the free tier to maximum on Max.,Pricing is straightforward and published: a genuinely usable free tier with no credit card, Pro at $19.99 per month, and Max at $116.99 per month with 5x the usage allowance, maximum reasoning effort and access to the most exclusive models. Premium model usage is metered by a daily-applied monthly allowance, with an unlimited 'Use AI Instant' chat mode available on paid plans under fair use. If your work involves constantly switching between frontier models, that consolidation is the main draw.

**Pricing & Plans:** Freemium with a free trial-style free tier. Free: $0 with generous everyday chat, limited web search and web, iOS and Android access, no credit card required. Pro: $19.99/month (billed quarterly at $59.97) for unlimited Use AI Instant messaging, premium model access, projects, image generation and Deep Research. Max: $116.99/month (billed quarterly at $350.97) with 5x the usage allowance, maximum reasoning and Deep Research. Prices vary by country and promotion.

- **Many frontier models in one app:** Switch between Claude, GPT, Gemini, Grok, DeepSeek, Kimi, Qwen, GLM and Meta Muse models without juggling separate subscriptions.
- **Switch models mid-chat:** Start a conversation on a fast model and hand the same thread to a stronger reasoning model when the task gets harder, keeping context intact.
- **Deep Research with citations:** Run multi-source research that reads up to 200 sources on Pro and up to 1,000 on Max, returning structured reports with references.
- **Documents, slides and sheets:** Create PDFs, slide decks and spreadsheets directly from a prompt, and generate images with leading models such as Nano Banana and GPT Image.
- **Connectors, projects and memory:** Link 100+ external apps, organise work into projects and knowledge bases, and keep long-term memory and context across sessions.

**Strengths:** One subscription and one interface replaces several separate model subscriptions; Free tier is genuinely usable with no credit card required; Model switching mid-conversation keeps context when you escalate to a stronger model; Built-in document, slide, sheet and image generation alongside chat

**Limitations:** You are limited to whichever models the platform has integrated; you cannot plug in arbitrary API keys for every model; Premium model access is metered by a monthly allowance, so heavy users on Pro can run out; Because it resells frontier models, availability of specific named models can change without notice; No self-hosting or on-premise option for teams that need data to stay in-house

[Profile (Markdown)](https://openaitools.app/tool/use-ai.md)

## Frequently Asked Questions

### How do OpenLIT and Use AI compare in monthly traffic?

OpenLIT has 6,028 monthly visits, while Use AI has 8,751,848. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OpenLIT has a month-over-month growth rate of -18.3%; Use AI has -10.2%.

### How does pricing compare?

OpenLIT: Free. The open-source edition is the free tier and is licensed under Apache 2.0, covering agent observability, evaluations, guardrails, Prompt Hub, Vault, OpenGround, coding-agent monitoring, and GPU metrics. There is no charge to self-host and no license key required. OpenLIT Cloud is not generally available yet. A separate Enterprise Edition adds capabilities such as the zero-code eBPF controller; check the official pricing page for current enterprise terms. Use AI: Free Trial, Paid. Freemium with a free trial-style free tier. Free: $0 with generous everyday chat, limited web search and web, iOS and Android access, no credit card required. Pro: $19.99/month (billed quarterly at $59.97) for unlimited Use AI Instant messaging, premium model access, projects, image generation and Deep Research. Max: $116.99/month (billed quarterly at $350.97) with 5x the usage allowance, maximum reasoning and Deep Research. Prices vary by country and promotion.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Delivers industry-leading reasoning and multimodal capabilities in a single model, but lacks multi-model switching options. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Excels at nuanced writing and document analysis using Anthropic models, but does not aggregate alternative frontier providers. | [.md](https://openaitools.app/tool/claude-2.md) |
| 3 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Provides high-efficiency open-weight reasoning models at low cost, but lacks a multi-model aggregator workspace interface. | [.md](https://openaitools.app/tool/deepseek.md) |
| 4 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Focuses heavily on real-time web search with citations, but offers less flexibility for multi-model prompt comparison. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 5 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 6 | [Poe](https://openaitools.app/tool/poe) | 5,894,702 | +9.1% | Freemium | Aggregates diverse frontier models and custom bots into one chat app, but lacks desktop workspace customization. | [.md](https://openaitools.app/tool/poe.md) |
| 7 | [Chatbox AI](https://openaitools.app/tool/chatbox-ai) | 3,291,252 | +3.8% | Paid | Provides multi-model desktop and web workspaces, but requires configuring your own API keys for full flexibility. | [.md](https://openaitools.app/tool/chatbox-ai.md) |
| 8 | [Merlin AI](https://openaitools.app/tool/merlin-ai) | 1,382,634 | +13.1% | Freemium | Integrates multi-model AI directly into your browser workflow, trading deep multi-model chats for contextual page helpers. | [.md](https://openaitools.app/tool/merlin-ai.md) |
| 9 | [Lorka AI](https://openaitools.app/tool/lorka-ai) | 987,622 | -19.2% | Paid | Aggregates major LLMs under a single subscription, but provides fewer specialized creative generation tools. | [.md](https://openaitools.app/tool/lorka-ai.md) |
| 10 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Offers a powerful self-hosted open-source interface for multiple models, requiring technical setup unlike managed web aggregators. | [.md](https://openaitools.app/tool/open-webui.md) |

---
Source: https://openaitools.app/compare/openlit-vs-use-ai

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