# OpenAI Platform vs TechScreen

OpenAI Platform records 234,678,639 monthly visits with -9.6% month-over-month growth and Paid pricing. TechScreen records 28,970 monthly visits with +101.7% growth and Freemium pricing.

| Metric | [OpenAI Platform](https://openaitools.app/tool/openai) | [TechScreen](https://openaitools.app/tool/techscreen) |
| :--- | :--- | :--- |
| Website URL | https://openai.com | https://techscreen.app |
| Categories | AI Models, AI API, Large Language Models (LLMs), AI Chatbot | AI Interview Assistant, AI Assistant, Undetectable AI, AI Code Assistant |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 234,678,639 | 28,970 |
| MoM Growth Rate | -9.6% | +101.7% |
| Primary Market | United States | United States |
| Direct Visits | 105,101,079 | 4,760 |
| Review Score | 4.8 | 3.8 |
| Saved Count | 144 | 0 |
| Supported Platforms | Website | Website |

## OpenAI Platform

While ChatGPT serves end users, openai.com and the OpenAI Developer Platform (developers.openai.com) provide the foundational API, SDKs, and enterprise infrastructure powering thousands of production AI applications worldwide. In late 2026, OpenAI's API catalog is anchored by the GPT-6 and GPT-6.1 model suite—all featuring a 1.05-million-token context window and up to 128K output tokens. The lineup spans GPT-6 Astra for frontier reasoning and mission-critical research, GPT-6.1 Sol for near-Astra intelligence at one-fifth the price, GPT-6.1 Terra for fast visual reasoning and computer use, and GPT-6 Luna for ultra-high-volume, low-latency tasks, alongside specialized models like `gpt-5.3-codex` and `gpt-6-astra-law`.

The OpenAI Platform has evolved well beyond basic chat completion endpoints. Through the unified `v1/responses` API, developers can orchestrate stateful multi-step agents equipped with built-in server-side tools—including live web search, vector file search, code interpreter sandboxes, and GUI computer use—without stitching together external orchestration frameworks. Every flagship model supports configurable reasoning effort (`none`, `low`, `medium`, `high`, `xhigh`, and `max`), strict JSON schema Structured Outputs, and multimodal image/audio inputs, while `gpt-live-1` powers per-second billed speech-to-speech voice agents.

OpenAI bills API usage on a transparent consumption model scaled across usage tiers (Build, Launch, and Grow, scaling up to 40M+ tokens per minute). In 2026, aggressive price cuts on the 6.x generation dropped entry-level intelligence on GPT-6 Luna to $0.10 per million input tokens and $0.50 per million output tokens, while GPT-6.1 Sol runs at $2/$10 and flagship GPT-6 Astra sits at $10/$50. Engineering teams can cut spend by 90% on repeated context using automatic Prompt Caching, save 50% on asynchronous workloads via the Batch API, and enforce regional data residency with a 10% compliance uplift.

**Pricing & Plans:** Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API.

- **GPT-6 & GPT-6.1 Model Lineup with 1.05M Context:** Spanning GPT-6 Astra ($10/$50 per MTok), GPT-6.1 Sol ($2/$10), GPT-6.1 Terra ($1/$5), and GPT-6 Luna ($0.10/$0.50), all with a 1,050,000-token context window and 128K max output.
- **Configurable Reasoning Effort Controls:** Tune thinking token budgets per API request across six granularity levels (`none`, `low`, `medium`, `high`, `xhigh`, `max`) to balance latency, accuracy, and cost.
- **Responses API & Native Computer Use Tools:** Combine model inference with hosted web search, file search, function calling, and autonomous GUI computer-use actions in a single stateful API call.
- **GPT-Live-1 Realtime Voice API:** Build ultra-low-latency multimodal voice agents billed per second ($0.05/minute) without rounding up to whole minutes.
- **90% Prompt Caching Discount & Batch API:** Cached input tokens bill at just 10% of standard input rates, while asynchronous 24-hour Batch API jobs cut both input and output token costs by 50%.

**Strengths:** 100-fold cost flexibility from GPT-6 Luna ($0.10/$0.50 per 1M tokens) up to frontier GPT-6 Astra ($10/$50 per 1M tokens); Unified 1.05M-token context window and 128K output limit across the entire flagship GPT-6 and GPT-6.1 family; 90% discount on cached input tokens and 50% Batch API discount dramatically reduce production inference bills; Industry-standard SDKs, Structured Outputs, and built-in Responses API tools minimize boilerplate agent code

**Limitations:** Long-context requests exceeding the standard window threshold trigger roughly 2x higher per-token billing rates; Flagship GPT-6 Astra ($10 input / $50 output per 1M tokens) is significantly more expensive than Claude Opus 5.5 ($4/$20) and Grok 4.7 ($2/$6); Regional data residency endpoints incur a 10% price uplift on models released after March 2026

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

## TechScreen

TechScreen is a desktop application built around a single promise: giving candidates real-time answers during interviews without the interviewer knowing. It works for coding rounds, system design, and behavioral interviews, accepting questions either typed in or captured from your system audio, which means it can pick up what an interviewer is saying on a call and surface an answer almost immediately.

The core technical claim is that invisibility comes from the operating system rather than a visual workaround. The app window is excluded from screen capture at the platform level, so when you share your screen on Zoom, Microsoft Teams, Google Meet, Webex, Amazon Chime, CoderPad, Codility, HackerRank, or similar tools, your audience sees the interview question but not the assistant's answer. The site notes that Zoom 6.16+ requires enabling window-filtering in the screen-share settings, and states that platform compatibility is re-checked daily.

The interface is designed around keyboard shortcuts so nothing on screen hints that help is being requested. Screenshots, conversation mode, sending answers, hiding the window, and repositioning it are all bound to hotkeys, and the window floats above your IDE, browser, and call. Users can configure programming language, spoken language, role, and custom prompts, and the vendor advertises that no user has been detected to date.

**Pricing & Plans:** TechScreen offers a free trial that does not charge a card, after which you pick a subscription plan. The company states every plan includes the full app, there are no hidden fees and no $1,000-plus tiers, and you can change or cancel at any time. Check the official pricing page for current amounts.

- **Screen-share invisibility:** The app window is excluded from screen capture by the operating system, so it does not appear in Zoom, Teams, Meet, or session recordings.
- **Typed and audio question capture:** Reads questions from typed text or live system audio, so answers appear as soon as the interviewer finishes asking.
- **Keyboard-only control:** Show, hide, move, and send responses entirely through keyboard shortcuts, with no mouse movement that could give it away.
- **Custom prompts and profiles:** Set your programming language, spoken language, role, and custom prompts so answers match the interview you are walking into.
- **Multi-format interview support:** Covers software engineering, product, and other roles across programming and behavioral formats, with no visible app icon in the dock or tray.

**Strengths:** Invisibility is implemented at the OS level, so it survives screen shares and recordings.; Reads live system audio, letting it react to spoken questions quickly.; Keyboard-only operation keeps the workflow discreet during a call.; Supports coding, system design, and behavioral rounds across languages and roles.

**Limitations:** Only macOS 13+ and Windows 10+ are supported; no Linux build is listed.; On Zoom 6.16+ users must manually enable the window-filtering screen-capture setting for invisibility to hold.; Using an interview assistant raises genuine ethical and policy questions with employers and interview platforms.; Effectiveness still depends on the candidate explaining answers convincingly rather than just reading them.

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

## Frequently Asked Questions

### How do OpenAI Platform and TechScreen compare in monthly traffic?

OpenAI Platform has 234,678,639 monthly visits, while TechScreen has 28,970. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OpenAI Platform has a month-over-month growth rate of -9.6%; TechScreen has +101.7%.

### How does pricing compare?

OpenAI Platform: Paid. Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API. TechScreen: Freemium. TechScreen offers a free trial that does not charge a card, after which you pick a subscription plan. The company states every plan includes the full app, there are no hidden fees and no $1,000-plus tiers, and you can change or cancel at any time. Check the official pricing page for current amounts.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 2 | [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) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unifies hundreds of third-party models under a single API key, offering greater model choice than OpenAI's curated catalog. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Provides developer APIs for Zhipu AI's proprietary GLM models, serving as an alternative enterprise foundation model stack. | [.md](https://openaitools.app/tool/bigmodel.md) |
| 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Optimized for lightning-fast serverless execution of generative media and image models, rather than general text LLMs. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in high-performance serverless inference and dedicated GPU clusters for open-source models, bypassing closed commercial restrictions. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [ParakeetAI](https://openaitools.app/tool/parakeetai) | 1,094,780 | +12.6% | Paid | Real-time AI interview copilot that answers while you are still talking | [.md](https://openaitools.app/tool/parakeetai.md) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on running and fine-tuning open-source vision and language models via simple APIs, unlike OpenAI's hosted closed models. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Delivers ultra-low-cost serverless inference for open-weight models, though with fewer enterprise orchestration tools than OpenAI. | [.md](https://openaitools.app/tool/deep-infra.md) |

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Source: https://openaitools.app/compare/openai-vs-techscreen

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