# OpenLIT vs Respan

OpenLIT records 6,028 monthly visits with -18.3% month-over-month growth and Free pricing. Respan records 91,503 monthly visits with -14.5% growth and Freemium pricing.

| Metric | [OpenLIT](https://openaitools.app/tool/openlit) | [Respan](https://openaitools.app/tool/respan) |
| :--- | :--- | :--- |
| Website URL | https://openlit.io | https://respan.ai |
| Categories | Large Language Models (LLMs), AI Developer Tools, AI Monitor, Open Source AI Models | AI Developer Tools, Large Language Models (LLMs), AI Monitor, Prompt Engineering |
| Pricing Model | Free | Freemium |
| Monthly Visits | 6,028 | 91,503 |
| MoM Growth Rate | -18.3% | -14.5% |
| Primary Market | United States | United States |
| Direct Visits | 2,375 | 23,119 |
| Review Score | 4.7 | 4.5 |
| 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)

## Respan

Respan pairs a high-throughput gateway with the observability layer that production LLM teams usually have to bolt on separately. You keep using the OpenAI, Anthropic, Google Gemini, Vercel AI SDK, or LangChain clients you already have, and simply repoint the base URL to the Respan endpoint with a single API key. From there Respan handles routing, fallbacks and retries, load balancing across providers or keys, PII redaction before prompts leave your infrastructure, tool access such as memory, web search, code execution and MCP servers, plus per-customer spend limits that halt calls once a budget is reached.

The vendor publishes head-to-head benchmark numbers against alternatives like LiteLLM, Portkey and Bifrost, claiming far higher throughput, dramatically lower added latency, and a much smaller memory footprint. It also markets bulk token rates passed on to customers with a stated 0% routing fee, so the savings come from negotiated provider pricing rather than a markup.

Alongside the gateway, Respan ships tracing and evaluation tooling so you can review logs from the terminal, run evals against real traffic, and iterate on prompts without leaving the platform. Pricing is freemium, with a free tier and a contact-sales path for higher volumes; check the official pricing page for current token discounts and plan limits.

**Pricing & Plans:** Freemium. There is a free tier plus volume-based and enterprise options that require contacting sales; token pricing varies by model, and Respan advertises bulk rates with a 0% routing fee. Verify current figures on the official pricing page.

- **One key, 1,000+ models:** Route to OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen and many other models through a single API key and one OpenAI-compatible endpoint.
- **Drop-in SDK compatibility:** Keep your existing OpenAI, Anthropic, LangChain or Vercel AI SDK code and change only the base URL.
- **Reliability routing:** Automatic fallbacks, retries and load balancing across providers and API keys keep requests answering when a single provider rate-limits or fails.
- **Tracing and evals:** Every call is logged and traceable, with evaluation tooling and a CLI so you can query logs and traces from your terminal.
- **Safety and governance:** PII redaction masks personal data before it reaches the model, and per-customer spend limits stop calls at a configured budget.

**Strengths:** Open-source with an OpenAI-compatible interface, so migration is usually a one-line change; Broad model catalogue plus advertised bulk pricing and a stated 0% routing fee; Fallbacks, load balancing, PII redaction and spend limits in one control point; Combined tracing and evaluation tooling reduces the number of separate tools a team maintains

**Limitations:** Benchmark and discount claims are vendor-published and should be validated against your own traffic; Advanced evaluation and enterprise governance features require talking to sales rather than self-serve signup; Running an extra gateway hop adds an operational dependency you must monitor

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

## Frequently Asked Questions

### How do OpenLIT and Respan compare in monthly traffic?

OpenLIT has 6,028 monthly visits, while Respan has 91,503. 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%; Respan has -14.5%.

### 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. Respan: Freemium. Freemium. There is a free tier plus volume-based and enterprise options that require contacting sales; token pricing varies by model, and Respan advertises bulk rates with a 0% routing fee. Verify current figures on the official pricing page.

## 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 | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [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) |
| 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 4 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |
| 5 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |
| 6 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | AI gateway, observability and guardrails for production LLM apps | [.md](https://openaitools.app/tool/portkey-ai.md) |
| 7 | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | 168,426 | -14.5% | Freemium, Contact for Pricing | One OpenAI-compatible API to route, monitor and control 250+ LLM models | [.md](https://openaitools.app/tool/llm-gateway.md) |
| 8 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |
| 9 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Evaluate, monitor, and govern your AI applications in production | [.md](https://openaitools.app/tool/maxim-ai.md) |
| 10 | [BeatAPI](https://openaitools.app/tool/beatapi-ai-model-data-web-apis-for-agents) | 99,987 | +1,012.7% | Freemium | One API key for 70+ AI models, 1,000+ data APIs and web tools | [.md](https://openaitools.app/tool/beatapi-ai-model-data-web-apis-for-agents.md) |

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Source: https://openaitools.app/compare/openlit-vs-respan

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