# Modelflare vs OpenAI Platform

Modelflare records 121,024 monthly visits with +37.5% month-over-month growth and Paid pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Modelflare](https://openaitools.app/tool/modelflare) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://modelflare.dev | https://openai.com |
| Categories | AI API, AI Short Video Generator, Text to Video, Script To Video AI Generator | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Paid | Paid |
| Monthly Visits | 121,024 | 234,678,639 |
| MoM Growth Rate | +37.5% | -9.6% |
| Primary Market | China | United States |
| Direct Visits | 85,002 | 105,101,079 |
| Review Score | 4.3 | 4.8 |
| Saved Count | 0 | 144 |
| Supported Platforms | Website | Website |

## Modelflare

Modelflare's core idea is consolidation. Rather than managing separate accounts, API keys, and invoices for OpenAI, Anthropic, Google, and a growing list of image and video providers, you hold one balance and one key. Requests can be sent with OpenAI SDKs against https://modelflare.dev/v1, or with Anthropic and Gemini SDKs against the bare host, and each model is listed alongside the official rate for its billing unit — tokens, images, or seconds of video.

Reliability is handled at the routing layer. Each model can be served by several routing groups, and where upstream failures allow failover you can configure a primary route plus ordered backups, so a single API key keeps requests flowing even when one provider wobbles. Every request records its token usage and cost, while per-project keys can carry quotas, expiry dates, and model or IP restrictions.

For teams, enterprise accounts add a shared balance with a dedicated console: admins invite members by email, give each an unlimited, one-time, or monthly budget, issue keys prefixed with the company name, top up balances, and review usage, creations, and admin actions. Alerts warn before a balance or member budget runs out, and the service is stated as available in 171 countries and territories. Modelflare also offers an engineering blog, integrations for VS Code, MCP, and n8n, an affiliate program, and Castaly, a no-code studio for image and video generation that shares the same account balance.

**Pricing & Plans:** Modelflare is paid and usage-based. You start with pay-as-you-go credits or choose a subscription plan with an included quota, and each model shows its rate next to the official one in units such as tokens, images, or video seconds. Top-up and refund policies are published, and enterprise accounts add member budgets with prepaid top-ups.

- **One OpenAI-compatible endpoint:** Use a single API key and base URL with OpenAI SDKs and compatible tools, or the bare host with Anthropic and Gemini SDKs, to reach text, image, video, and audio models from many providers.
- **Provider routing with ordered fallback:** Configure a primary route plus ordered backups for a regular API key so requests can fail over to another eligible route when an upstream provider has trouble.
- **Per-request usage and cost tracking:** Every request logs its token usage and cost in the console, with model prices listed beside the official rate for each routing group and billing unit.
- **Enterprise team console:** Invite admins and members by email, assign unlimited, one-time, or monthly budgets, issue keys prefixed with your company name, top up, and audit every action.
- **Castaly creative studio:** Sign in with the same account to pick an image or video model in a no-code studio, describe your idea, and share balance and usage records with the API side.

**Strengths:** One key and one balance across many model providers reduces integration and billing overhead; Routing with ordered fallback keeps requests moving when an upstream provider fails; Granular cost visibility down to the individual request, member, model, and key; No-code Castaly studio shares the same account, so creative users and developers bill together

**Limitations:** Prices vary by model and routing group, so cost forecasting still requires checking each rate; Reseller-style pricing means availability and terms can depend on upstream providers

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

Modelflare has 121,024 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Modelflare has a month-over-month growth rate of +37.5%; OpenAI Platform has -9.6%.

### How does pricing compare?

Modelflare: Paid. Modelflare is paid and usage-based. You start with pay-as-you-go credits or choose a subscription plan with an included quota, and each model shows its rate next to the official one in units such as tokens, images, or video seconds. Top-up and refund policies are published, and enterprise accounts add member budgets with prepaid top-ups. 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 | [Venice AI](https://openaitools.app/tool/venice-ai) | 25,088,401 | +23.8% | Freemium | Private AI for unrestricted creative work | [.md](https://openaitools.app/tool/venice-ai.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 | [Magic Hour](https://openaitools.app/tool/magic-hour) | 3,383,328 | +26.8% | Freemium | One AI studio for video, image, and audio creation | [.md](https://openaitools.app/tool/magic-hour.md) |
| 7 | [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) |
| 8 | [Makefun AI](https://openaitools.app/tool/makefun-ai) | 2,529,417 | +2.4% | Freemium, Contact for Pricing, Free | Free AI video and image generator with avatar, face swap and voice cloning | [.md](https://openaitools.app/tool/makefun-ai.md) |
| 9 | [WaveSpeedAI](https://openaitools.app/tool/wavespeedai) | 2,164,832 | +22.9% | Paid | One API for 1,000+ AI image, video, audio and 3D models | [.md](https://openaitools.app/tool/wavespeedai.md) |
| 10 | [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) |

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

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