# Funnyskill API vs OpenAI Platform

Funnyskill API records 0 monthly visits with 0% month-over-month growth and Paid pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Funnyskill API](https://openaitools.app/tool/funnyskill-api) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://funnyskill.com | https://openai.com |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Paid | Paid |
| Monthly Visits | 0 | 234,678,639 |
| MoM Growth Rate | 0% | -9.6% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 105,101,079 |
| Review Score | 2.3 | 4.8 |
| Saved Count | 0 | 144 |
| Supported Platforms | Website | Website |

## Funnyskill API

Funnyskill API is an API relay, or "中转站", built for teams and individual developers in China and elsewhere who want to reach many large language models without managing separate accounts and keys for each vendor. The core promise is simplicity: a single API key, requested through an interface that follows the OpenAI format, fronts a roster of conversational, vision, image and video models. Because the request format mirrors OpenAI's, existing SDKs and client libraries can usually be repointed to Funnyskill by changing the base URL and key.

The platform positions itself around metered, usage-based billing. According to its public pricing page, chat, image-understanding, image-generation and video models are all charged by real consumption, with input and output tokens counted separately, and credits deducted as you use them after a top-up. This pay-as-you-go model suits projects with unpredictable or spiky demand, since there is no need to commit to a fixed plan upfront.

Funnyskill is one of many relay services in the Chinese AI developer ecosystem, and its value lies in convenience and breadth rather than in being a model creator itself. Buyers should treat it as a third-party intermediary: it routes requests to upstream providers, so availability, rate limits and final model behaviour depend on those upstream sources. Check the live site for the current model list, per-token prices and any promotional credit offers before committing spend.

**Pricing & Plans:** Paid, usage-based. Funnyskill charges by actual consumption with input and output tokens priced separately; users top up a balance and credits are deducted as requests are made. No specific per-token figures are quoted here — check the live pricing page for current rates.

- **Single key, many models:** Access DeepSeek, Qwen, Doubao, Kimi, GPT, Gemini and Claude Code through one API key instead of juggling vendor accounts.
- **OpenAI-compatible interface:** Requests follow the OpenAI format, so most existing SDKs and tools can be pointed at Funnyskill by swapping the base URL and key.
- **Usage-based billing:** Input and output tokens are metered separately and deducted from a topped-up balance, so you pay for what you actually consume.
- **Chat, vision, image and video models:** The catalogue spans conversational text, image understanding, image generation and video generation models.
- **Built for concurrent workloads:** Positioned to handle high-concurrency API traffic for production applications and agents.

**Strengths:** One API key and one interface for a wide range of Chinese and international models; OpenAI-compatible format reduces migration effort for existing integrations; Pay-as-you-go billing suits unpredictable or spiky usage; Covers text, vision, image and video model types

**Limitations:** It is a third-party relay, so uptime and limits depend on upstream providers; Pricing and model lists can change; you must verify current rates on the site; No fixed guarantees of SLA or enterprise support are published on the public pages; Interface and documentation are primarily in Chinese

[Profile (Markdown)](https://openaitools.app/tool/funnyskill-api.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 Funnyskill API and OpenAI Platform compare in monthly traffic?

Funnyskill API has 0 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Funnyskill API has a month-over-month growth rate of 0%; OpenAI Platform has -9.6%.

### How does pricing compare?

Funnyskill API: Paid. Paid, usage-based. Funnyskill charges by actual consumption with input and output tokens priced separately; users top up a balance and credits are deducted as requests are made. No specific per-token figures are quoted here — check the live pricing page for current 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 | [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 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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 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 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | One OpenAI-compatible API key for 500+ AI models | [.md](https://openaitools.app/tool/cometapi.md) |

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Source: https://openaitools.app/compare/funnyskill-api-vs-openai

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