# Cursor vs Speko

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Speko records 22,749 monthly visits with -25% growth and Paid, Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Speko](https://openaitools.app/tool/speko) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://speko.ai |
| Categories | AI Code Assistant, AI Copilot, AI Code Generator, AI Developer Tools | AI API, AI Speech-to-Text, AI Text-to-Speech, AI Agent |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 23,297,751 | 22,749 |
| MoM Growth Rate | +8.4% | -25% |
| Primary Market | United States | United States |
| Direct Visits | 14,683,770 | 9,702 |
| Review Score | 4 | 5 |
| 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)

## Speko

The core idea is that no single speech model wins everywhere. Speko's benchmark shows six different models taking the top spot across 18 languages, and notes that a large share of models are only ever measured in English, leaving their ranking in other languages unknown. Instead of committing to one vendor, Speko routes each stage of a voice pipeline — STT, LLM and TTS — to whichever model performs best for the language your users actually speak, with measured selection and failover before the response starts.

Two commercial shapes are offered. On Speko infrastructure you pay a single bundled rate of $0.09 per minute covering all three legs. Alternatively, managed routing adds 5% on top of a provider's published rate and lets you use your own provider keys, in which case the provider bills you directly. The router is hosted at router.speko.dev with typed contracts and public OpenAPI and AsyncAPI documentation.

The platform layer targets teams that need working phone agents, not just model access. You can map a call step by step, connect calendars, CRMs, your own APIs and documentation into any step, buy a phone number, test drafts against simulated callers including adversarial ones, and score every live call against checks you write in plain language. Native integrations exist for LiveKit and Pipecat, and an MCP server exposes Speko to Claude, ChatGPT, Grok, Cursor and Claude Code. Speko states it is backed by Y Combinator and that new accounts receive $10 in credit.

**Pricing & Plans:** Two models. On Speko infrastructure, a flat $0.09 per minute bundles STT, LLM and TTS; calls bill from answer to hang-up and unanswered calls cost nothing. With managed routing, you pay the selected provider's published rate plus 5%. $10 in signup credit applies to every account. Phone numbers cost $1 setup and $2 per month for most numbers, and calls on Speko numbers add the carrier charge plus 20%.

- **Language-aware model routing:** STT, LLM and TTS are selected per language based on an independent benchmark covering 89 models across 18 languages, with pre-response failover.
- **Voice agent platform:** Design a call step by step, plug calendars, CRMs, your APIs and docs into any step, then run it with inbound, outbound and call-list support.
- **Simulated caller testing:** Draft agents are tested against simulated callers, including red-team scenarios that try to break the flow, before they go live.
- **Plain-language call scoring:** Every live call is scored against checks you write in everyday language, for example reading back a date or never quoting a price.
- **Framework and MCP integrations:** Native Gateway services for LiveKit and Pipecat, plus an MCP server for Claude, ChatGPT, Grok, Cursor and Claude Code.

**Strengths:** Independent, language-by-language benchmark rather than a single accuracy claim; Provider-neutral routing with the option to bring your own keys; Clear, simple pricing: $0.09 per minute bundled or 5% on routed provider spend; Agent platform includes phone numbers, evaluation and live call monitoring

**Limitations:** Public preview with no SLA and email-only support outside enterprise; The benchmark and model catalogue move quickly, so routing decisions need periodic review; Telephony costs sit on top of the per-minute rate, and international routes can exceed the US minimum

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

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Speko has 22,749. 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%; Speko has -25%.

### 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. Speko: Paid, Contact for Pricing. Two models. On Speko infrastructure, a flat $0.09 per minute bundles STT, LLM and TTS; calls bill from answer to hang-up and unanswered calls cost nothing. With managed routing, you pay the selected provider's published rate plus 5%. $10 in signup credit applies to every account. Phone numbers cost $1 setup and $2 per month for most numbers, and calls on Speko numbers add the carrier charge plus 20%.

## 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 | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Anthropic's frontier AI workspace powered by Claude 5.5 for agentic coding, analysis, and nuanced writing. | [.md](https://openaitools.app/tool/claude-2.md) |
| 3 | [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) |
| 4 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 5 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 6 | [DeepL](https://openaitools.app/tool/deepl) | 95,110,871 | -1.7% | Freemium | Enterprise-grade neural machine translation, AI writing refinement, and real-time voice translation across thirty-plus global languages. | [.md](https://openaitools.app/tool/deepl.md) |
| 7 | [ElevenLabs](https://openaitools.app/tool/elevenlabs-io) | 42,396,771 | +26.1% | Freemium, Paid, Contact for Pricing | AI audio platform for speech, agents, music and dubbing | [.md](https://openaitools.app/tool/elevenlabs-io.md) |
| 8 | [Code Arena](https://openaitools.app/tool/code-arena) | 35,827,928 | +19.4% | Free | Battle-test AI coding models side by side | [.md](https://openaitools.app/tool/code-arena.md) |
| 9 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 10 | [ZeroGPT](https://openaitools.app/tool/zerogpt) | 32,864,541 | +19.7% | Freemium, Paid | AI content detection and a full writing toolkit in one place | [.md](https://openaitools.app/tool/zerogpt.md) |

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

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