# Orca vs PromptLayer

Orca records 1,025,891 monthly visits with +1% month-over-month growth and Free, Open Source, Enterprise on request pricing. PromptLayer records 85,899 monthly visits with -4.6% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Orca](https://openaitools.app/tool/orca) | [PromptLayer](https://openaitools.app/tool/promptlayer) |
| :--- | :--- | :--- |
| Website URL | https://www.onorca.dev | https://promptlayer.com |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | Prompt Engineering, Large Language Models (LLMs), AI Monitor, AI Developer Tools |
| Pricing Model | Free, Open Source, Enterprise on request | Free Trial, Contact for Pricing |
| Monthly Visits | 1,025,891 | 85,899 |
| MoM Growth Rate | +1% | -4.6% |
| Primary Market | United States | United States |
| Direct Visits | 344,591 | 14,092 |
| Review Score | 4.6 | 4.5 |
| Saved Count | 1 | 3 |
| Supported Platforms | Website | Website |

## Orca

Orca positions itself as an "agent IDE" rather than a classic code editor. The core idea is that IDEs were designed around a single human editor, while AI-era workflows revolve around many agents working at the same time. Orca therefore organises work into projects, workspaces and worktrees: each task gets an isolated environment, and any agent CLI can be pointed at it.

The app bundles the pieces developers normally stitch together by hand — chat or terminal interfaces, a built-in browser with a design-inspection mode, split panes for diffs and files, a notes/editor surface and Git integration. A command-line interface mirrors the GUI, so agents themselves can create worktrees, start workers, drive the browser and schedule automations through Orca's own CLI.

Orca is cross-platform (macOS, Windows, Linux) with companion iOS and Android apps that notify you when an agent needs input so you can reply from your phone. It is distributed as free open-source software, and the project also offers a documented enterprise track and a plugin system for extending the environment.

**Pricing & Plans:** Orca is free and open source; the download and core product require no payment. A separate Enterprise offering is available, priced by contacting the team. The site does not publish a public price list for enterprise plans.

- **Parallel worktrees:** Each agent gets its own isolated Git worktree, so multiple agents can edit, test and build concurrently without conflicts.
- **Bring your own agent CLI:** Works with Claude Code, Codex, Gemini, Cursor CLI, OpenCode, Copilot, Cline and many other command-line agents using subscriptions you already have.
- **Integrated browser and design mode:** A built-in browser lets you click any element to copy its HTML, styles and selector, or screenshot a page and drop that context straight into an agent prompt.
- **Terminal, diffs and split panes:** Review AI output, run commands and arrange terminals, browsers, files and diffs in panes shaped to the task at hand.
- **CLI, plugins and mobile companion:** Orca's own CLI lets agents automate worktrees and workers, a plugin system extends the app, and iOS/Android apps keep you in the loop remotely.

**Strengths:** Free and open source, with no licence cost for the core product; Genuinely parallel workflow thanks to per-task Git worktrees; Vendor-neutral: works with many agent CLIs instead of locking you to one; Cross-platform with iOS and Android companion apps and an extensible plugin system

**Limitations:** Not a traditional IDE, so developers wanting a full editor experience may need a second tool; Newer product with fast-moving releases, which can mean occasional rough edges; Enterprise pricing is only available on request, so costs are not transparent up front

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

## PromptLayer

PromptLayer targets the gap between prototyping with an LLM API and running that application reliably in production. It packages the tooling teams usually end up building themselves: a prompt registry, a visual CMS for editing and versioning prompts, an evaluation harness, and an observability stack that ties production traffic back to the prompt versions that generated it.

The core insight is that prompt quality is a product concern, not only an engineering one. Because prompts live in a dashboard rather than scattered through a codebase, domain experts — product managers, marketers, curriculum designers, support leads — can edit and test them directly, while engineers keep control over what actually ships. Version history, diffs, comments and rollbacks keep that collaboration auditable.

Evidence comes from evaluation and production. Teams define datasets, run automated and human grading, set up regression tests that fire whenever a prompt changes, and backtest new versions against historical data. In production, traces connect each request to its prompt version, so quality, cost and latency can be compared side by side. Agent workflows get the same treatment: prompts, tool calls, evaluations and logs stay in one place for multi-step runs.

**Pricing & Plans:** PromptLayer has a free tier and three paid tiers. Free is $0/month with 5 users, 2.5k requests per month, 1 workspace, 250 eval cell executions and 10MB datasets. Pro is $49/month and adds unlimited playgrounds, unlimited workspaces and 150MB datasets. Team is $500/month with 25 users, 100k+ requests, 7.5k+ eval cell executions and 1GB datasets. Enterprise offers custom limits plus RBAC, deployment approvals, HIPAA with BAA, self-hosted or EU hosting and dedicated support. Overage is billed per transaction (about $0.003 on Pro, $0.002 on Team).

- **No-code visual prompt CMS:** Edit, version, diff and roll back prompts from a visual dashboard with no coding, so product, marketing and content teams can iterate on prompts while engineers keep control of the deploy.
- **Evaluations and regression testing:** Run dataset-backed tests with human and AI graders, trigger regression evals whenever a prompt changes, backtest new versions against historical data and compare prompts across models.
- **Observability and tracing:** Connect production traces to the exact prompt version that produced them and inspect failures, cost, latency and token usage by feature, model or user.
- **Agent workflow support:** Build, trace and improve agent workflows with prompts, tool calls, evaluations and logs in one place, so multi-step runs can be tested before they ship.
- **A/B testing and usage analytics:** Release new prompt versions gradually, compare live metrics, and see exactly how the LLM application is being used, by whom and how often, without jumping to a separate analytics tool.

**Limitations:** Team plan jumps to $500/month, which is steep for small teams that outgrow Pro; Usage beyond plan limits is billed per transaction, so heavy LLM traffic needs forecasting; Role-based access controls, deployment approvals and SSO are Enterprise-only; Live in the developer ecosystem, so setup expects an LLM API and engineering involvement

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

## Frequently Asked Questions

### How do Orca and PromptLayer compare in monthly traffic?

Orca has 1,025,891 monthly visits, while PromptLayer has 85,899. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Orca has a month-over-month growth rate of +1%; PromptLayer has -4.6%.

### How does pricing compare?

Orca: Free, Open Source, Enterprise on request. Orca is free and open source; the download and core product require no payment. A separate Enterprise offering is available, priced by contacting the team. The site does not publish a public price list for enterprise plans. PromptLayer: Free Trial, Contact for Pricing. PromptLayer has a free tier and three paid tiers. Free is $0/month with 5 users, 2.5k requests per month, 1 workspace, 250 eval cell executions and 10MB datasets. Pro is $49/month and adds unlimited playgrounds, unlimited workspaces and 150MB datasets. Team is $500/month with 25 users, 100k+ requests, 7.5k+ eval cell executions and 1GB datasets. Enterprise offers custom limits plus RBAC, deployment approvals, HIPAA with BAA, self-hosted or EU hosting and dedicated support. Overage is billed per transaction (about $0.003 on Pro, $0.002 on Team).

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor optimized for multi-file generation rather than managing multiple parallel terminal agent worktrees. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides an extensive platform and desktop command center for parallel AI coding agents, but with a heavier proprietary footprint. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE that handles full-project coding tasks, but lacks Orca's multi-agent parallel git worktree orchestration. | [.md](https://openaitools.app/tool/trae.md) |
| 6 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 7 | [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) |
| 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 | [Confident AI](https://openaitools.app/tool/confident-ai) | 83,400 | -3.3% | Freemium, Paid, Contact for Pricing | Standardize LLM evaluation, observability, and red teaming across your whole org | [.md](https://openaitools.app/tool/confident-ai.md) |

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Source: https://openaitools.app/compare/orca-vs-promptlayer

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