# Modellix vs OpenAI Platform

Modellix records 9,457 monthly visits with +387% month-over-month growth and Paid pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Modellix](https://openaitools.app/tool/modellix) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://www.modellix.ai | https://openai.com |
| Categories | Image to Video, Text to Image, AI Digital Marketing | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Paid | Paid |
| Monthly Visits | 9,457 | 234,678,639 |
| MoM Growth Rate | +387% | -9.6% |
| Primary Market | India | United States |
| Direct Visits | 1,970 | 105,101,079 |
| Review Score | 3.9 | 4.8 |
| Saved Count | 0 | 144 |
| Supported Platforms | Website | Website |

## Modellix

Modellix is a Model-as-a-Service gateway for generative media. The premise is that teams building image, video or audio features do not want to integrate with Google, OpenAI, ByteDance, Alibaba, MiniMax and half a dozen other providers individually. Instead, Modellix puts a single API in front of all of them, normalizes the parameters, and exposes public pricing so you can compare the cost of, say, a 5-second 1080p video across several video models before choosing one.

For developers this means one API key, one billing relationship, and one place to see what happened: every call is logged with its inputs, outputs and cost, and deposit and usage history are tracked live. The platform deliberately avoids subscriptions — you prepay credits and pay per use, charged in the natural unit of each modality (per image, per second of video, per million characters for speech), with parameter-level variation for things like resolution.

The model line-up is broad and current, spanning image generation and editing (Nano Banana, Seedream, GPT Image, MAI Image), video generation (Seedance, Veo, Kling, Hailuo, Wan, Vidu, PixVerse, Grok Imagine) and speech (CosyVoice, Qwen Audio). Modellix is operated by Metaverse Cloud Pte. Ltd. and built by Aurora Mobile (NASDAQ: JG), and it advertises dual DNV certification under ISO/IEC 27001 and 27701 — relevant for a service that routes prompts and media through many third-party model providers.

**Pricing & Plans:** Pay-as-you-go with prepaid credits and no subscription. Pricing is published per model in the natural unit — USD per image, per second of video, or per million input characters for speech — with variations by parameters such as resolution. Example published rates include OpenAI GPT Image text-to-image from $0.006/img and Seedance 2.0 text-to-video from $0.07/sec. Enterprise plans with custom SLAs and support are available on request.

- **One API for 100+ media models:** Access over 170 endpoints for image, video, audio and speech generation behind one API key, with flattened parameters so you are not juggling nested provider-specific payloads.
- **Transparent per-call pricing:** Every model has public rates in its natural unit — per image, per second of video, per million input characters for speech — plus parameter-level pricing for resolution and duration variants.
- **Full call logs and billing history:** Every request is traceable, capturing inputs, outputs and cost, and your deposit and usage history is tracked in real time for precise spend visibility.
- **Enterprise-grade security:** Dual ISO/IEC 27001 and ISO/IEC 27701 certification from DNV, giving auditors and security teams verifiable safeguards for a platform routed through third-party models.
- **Developer tooling and support:** Rapid assistance over email and Discord, plus CLI tooling, documentation and an API reference to help teams integrate and debug quickly.

**Strengths:** One API key and one billing account replaces integrations with many separate model providers; Public per-model pricing makes cost comparison across models genuinely practical; Very broad, current model catalogue covering image, video, audio and speech; Complete call logs with input, output and cost make debugging and spend audits straightforward

**Limitations:** No subscription tier — you prepay credits, which requires estimating spend in advance; With 100+ models across many providers, choosing the right endpoint takes some reading; Pricing varies by parameter (resolution, duration), so costs are not always a single flat number; Enterprise features such as SLAs and dedicated support require a sales conversation

[Profile (Markdown)](https://openaitools.app/tool/modellix.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 Modellix and OpenAI Platform compare in monthly traffic?

Modellix has 9,457 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Modellix has a month-over-month growth rate of +387%; OpenAI Platform has -9.6%.

### How does pricing compare?

Modellix: Paid. Pay-as-you-go with prepaid credits and no subscription. Pricing is published per model in the natural unit — USD per image, per second of video, or per million input characters for speech — with variations by parameters such as resolution. Example published rates include OpenAI GPT Image text-to-image from $0.006/img and Seedance 2.0 text-to-video from $0.07/sec. Enterprise plans with custom SLAs and support are available on request. 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 | [MiniMax Image-01](https://openaitools.app/tool/minimax-image-01) | 5,253,734 | -13.2% | Contact for Pricing | MiniMax's open-weight model for turning prompts into images | [.md](https://openaitools.app/tool/minimax-image-01.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 | [Kie.ai](https://openaitools.app/tool/kie-ai-affordable-secure-deepseek-r1-api) | 2,275,553 | -22.4% | Pay-as-you-go | One API key for video, image, music, and chat models | [.md](https://openaitools.app/tool/kie-ai-affordable-secure-deepseek-r1-api.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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