# Cursor vs Relace

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Relace records 8,865 monthly visits with -48.5% growth and Freemium, Paid pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Relace](https://openaitools.app/tool/relace) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.relace.ai |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Developer Tools, AI Agent, AI Code Assistant, AI Code Generator |
| Pricing Model | Freemium | Freemium, Paid |
| Monthly Visits | 23,297,751 | 8,865 |
| MoM Growth Rate | +8.4% | -48.5% |
| Primary Market | United States | United States |
| Direct Visits | 14,683,770 | 3,579 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

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

## Relace

Relace provides an API-first inference service for open-weight frontier models. Developers sign up, get an API key, and call models such as DeepSeek, Kimi and GLM variants directly, paying only for the tokens they use. All models are billed per token on a pay-as-you-go basis with no subscription or minimum spend, and prompts that reuse a cached prefix are discounted substantially. The company reports serving tens of trillions of tokens per month and consistently ranks among the top providers on OpenRouter, often as the cheapest option for the models it hosts.

Rather than training its own models, Relace focuses on the efficiency of the serving stack — scheduling, batching and GPU utilization — so that it can pass lower costs on to customers. The same models are also reachable through OpenRouter if you prefer a routing layer, while direct access gives you the lowest latency and volume pricing. Team members are reachable by email for large token spenders, GPU partners and hiring conversations.

The product is aimed at developers and companies building AI applications that need reliable, cheap access to strong open models at scale. Because prices are repriced frequently, the rate returned by the API at request time is the one you pay.

**Pricing & Plans:** Pay-as-you-go, per-token pricing with no subscription or minimum. Input, cached input and output tokens are billed separately; volume pricing is available on request. Some model listings may also appear as free on routing platforms.

- **Pay-as-you-go per-token API:** No subscription or minimum commitment — you are billed only for the input, cached input and output tokens you consume.
- **Discounted cached input:** Reusing a cached prefix costs a fraction of the standard input price, which lowers cost for repetitive or agentic workloads.
- **Open-weight frontier models:** Serve popular open models such as DeepSeek, Kimi and GLM families through one consistent endpoint.
- **High-throughput serving stack:** Optimized scheduling and GPU utilization help Relace rank among the top providers by daily token volume on OpenRouter.
- **Direct key or OpenRouter access:** Get an API key for direct low-latency calls, or reach the same models through the OpenRouter routing layer.

**Strengths:** Very competitive per-token pricing, often cheapest for the models served; No subscription or minimum spend — pure pay-as-you-go; Large cached-input discounts reward prompt reuse; High daily token volume and strong OpenRouter rankings suggest reliable scale

**Limitations:** As an open-weight serving provider it does not train or host proprietary frontier models; Pricing changes frequently, so costs can shift over time; The website notes it is updated infrequently, so some marketing pages lag the product

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

## Frequently Asked Questions

### How do Cursor and Relace compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Relace has 8,865. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; Relace has -48.5%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. Relace: Freemium, Paid. Pay-as-you-go, per-token pricing with no subscription or minimum. Input, cached input and output tokens are billed separately; volume pricing is available on request. Some model listings may also appear as free on routing platforms.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 8 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 9 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 10 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) |

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Source: https://openaitools.app/compare/cursor-vs-relace

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