# AskNews vs OpenAI Platform

AskNews records 11,607 monthly visits with +97.3% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [AskNews](https://openaitools.app/tool/asknews) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://asknews.app | https://openai.com |
| Categories | AI News, AI API, Large Language Models (LLMs), AI Chatbot | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Freemium, Paid, Contact for Pricing | Paid |
| Monthly Visits | 11,607 | 234,678,639 |
| MoM Growth Rate | +97.3% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 4,667 | 105,101,079 |
| Review Score | 4.6 | 4.8 |
| Saved Count | 2 | 144 |
| Supported Platforms | Website | Website |

## AskNews

AskNews is a licensed news infrastructure platform designed for teams that need trustworthy news data inside their AI systems. Instead of scraping pages that break behind paywalls, AskNews resolves articles from hundreds of thousands of web sources and thousands of licensed news outlets into structured context that models can reason over directly. Every data point can arrive with enrichments such as Wikidata entities, geo-coordinates, sentiment, bias scores and key points, and real-time responses are delivered in under 100 milliseconds.

The platform is organized into a single toolbox that spans paywalled news, the open web, X, Wikipedia, Google, Reddit and podcasts, so developers avoid stitching together many separate integrations. Core capabilities include a real-time and historical News API, DeepNews (a multi-step self-learning research agent that iterates and verifies across sources), Alerts for scheduled monitoring and recurring reports, Storylines for tracking how narratives develop, and a knowledge graph that connects people, places and organizations over time.

AskNews is built for developers with REST APIs, Python, TypeScript and PHP SDKs, a CLI, and an MCP server that plugs the same tools into assistants and agent frameworks. Its site states it is used by organizations including the UK Cabinet Office, frontier AI labs, insurance, intelligence, private equity and hedge fund teams, and Ivy League institutions. The company advertises a 99.9% service SLA, roughly 500,000 new articles indexed daily, and more than 200 million historical articles in its archive. Plans range from free and self-serve tiers to enterprise pricing available on request.

**Pricing & Plans:** Freemium with paid tiers; a free tier and API access are available, and enterprise pricing is available by contacting sales. Check the pricing page for current limits and usage-based rates.

- **Real-Time and Historical News API:** Query breaking news in under 100 ms or search archived coverage across years and decades through one consistent API.
- **DeepNews Research Agent:** A multi-step, self-learning agent that iterates, branches and verifies across paywalled news, the open web, X, Wikipedia and more for deep research questions.
- **Alerts and Storylines:** Schedule monitoring of topics, companies and events, receive recurring reports, and follow how narratives evolve with analytics and change logs.
- **AI-Ready Enrichments and Knowledge Graph:** Each data point arrives with entities, geo-coordinates, sentiment, bias scores and key points, linked into a graph of relationships over time.
- **Developer Tooling: SDKs, CLI and MCP:** Python, TypeScript and PHP SDKs, a command-line tool, and an MCP server that connect AskNews directly to agents and assistants.

**Strengths:** Licensed news access plus open web sources in one API, avoiding per-source scrapers; Low-latency structured output with entities, sentiment and bias enrichments; Broad developer support: REST, SDKs, CLI and MCP for agent workflows; Free and self-serve tiers lower the barrier before enterprise commitments

**Limitations:** Licensed news coverage depends on publisher agreements and may vary by region; Pricing and usage limits are not fully transparent without checking the pricing page or sales; Deep research features can consume credits quickly for high-volume users

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

## 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)

## Frequently Asked Questions

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

AskNews has 11,607 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AskNews has a month-over-month growth rate of +97.3%; OpenAI Platform has -9.6%.

### How does pricing compare?

AskNews: Freemium, Paid, Contact for Pricing. Freemium with paid tiers; a free tier and API access are available, and enterprise pricing is available by contacting sales. Check the pricing page for current limits and usage-based rates. 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.

## 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 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 8 | [Tavily](https://openaitools.app/tool/gpt-researcher) | 989,998 | -0.8% | Contact for Pricing | The real-time web access layer for AI agents and deep research | [.md](https://openaitools.app/tool/gpt-researcher.md) |
| 9 | [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) |
| 10 | [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) |

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

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