# OpenAI Platform vs SciFig

OpenAI Platform records 234,678,639 monthly visits with -9.6% month-over-month growth and Paid pricing. SciFig records 91,473 monthly visits with +4.7% growth and Freemium pricing.

| Metric | [OpenAI Platform](https://openaitools.app/tool/openai) | [SciFig](https://openaitools.app/tool/scifig) |
| :--- | :--- | :--- |
| Website URL | https://openai.com | https://scifig.ai |
| Categories | AI Models, AI API, Large Language Models (LLMs), AI Chatbot | AI Image Generator, AI Background Remover, AI Image Enhancer, AI Image Upscaler |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 234,678,639 | 91,473 |
| MoM Growth Rate | -9.6% | +4.7% |
| Primary Market | United States | United States |
| Direct Visits | 105,101,079 | 23,551 |
| Review Score | 4.8 | 4.1 |
| Saved Count | 144 | 1 |
| 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)

## SciFig

SciFig is built around the observation that most papers need more than one kind of figure, and that juggling several unrelated tools for illustrations, plots and diagrams wastes time. Its Illustration workspace accepts six input modes: a written description, a rough sketch, a lab photo, a PDF of an existing paper, a reference figure to imitate in style, and photo-to-figure conversion. From any of these it produces scientific images of mechanisms, pathways, cross-sections and graphical abstracts, drawing on hundreds of templates across multiple disciplines.

The DataChart workspace is the quantitative side. Upload a CSV or Excel file, describe the chart you want, and SciFig plots it in journal-consistent styles with colorblind-safe palettes. The chart library is deliberately deep and organized by research need — basic and trend charts, distribution and statistics plots such as violin, box and raincloud charts, relationship and model plots like regression and Bland–Altman, biomedical staples including volcano plots and Kaplan–Meier survival curves, plus flows and structures such as heatmaps and Sankey diagrams. Charts ship with the statistics and the Python code that produced them, which matters when a reviewer asks how a figure was made.

FlowChart covers the qualitative diagrams: PRISMA and CONSORT screening flows, model architectures, cycle diagrams and research timelines, described in plain language and returned as editable diagrams rather than static images. Across all three engines the editability is the real differentiator — you can retype a label, redraw one region, switch journal style or palette, or move a box and its arrows without regenerating the whole figure. Export options include editable PPTX, layered SVG, 8K PNG/JPG, and for data charts also PDF, EPS and TIFF, so figures survive poster, manuscript and presentation formats alike.

**Pricing & Plans:** Freemium. New users start with up to 150 free credits and can reach about 250 free credits on day one when joining through an invite, with no credit card required. Paid plans and credit packs are available, and the site states paid credits never expire. Pricing changes with promotions, so check the pricing page for current plan details.

- **Three dedicated engines: Illustration, DataChart and FlowCha:** Three dedicated engines: Illustration, DataChart and FlowChart for scientific images, data plots and protocol diagrams respectively
- **Six illustration input modes: text, sketch, photo, PDF, refe:** Six illustration input modes: text, sketch, photo, PDF, reference figure and photo enhancement, backed by hundreds of discipline-specific templates
- **Data charts straight from CSV or Excel across around 50 char:** Data charts straight from CSV or Excel across around 50 chart types, including volcano plots, survival curves, forest plots and heatmaps
- **Fully editable output: change any label, recolor, redraw a r:** Fully editable output: change any label, recolor, redraw a region or shift a box and its arrows without regenerating the figure
- **Researcher-friendly export: layered SVG, editable PPTX, 8K P:** Researcher-friendly export: layered SVG, editable PPTX, 8K PNG/JPG, plus PDF, EPS and TIFF for charts, with journal styles and colorblind-safe palettes

**Strengths:** Purpose-built for research figures rather than generic AI image generation, with journal styles and colorblind-safe palettes; Strong editability after generation, so a figure can be refined instead of regenerated from scratch; Data charts are plotted from your actual numbers and come with the statistics and Python code; Wide export coverage including layered SVG, editable PPTX and print-grade TIFF/EPS

**Limitations:** Scientific accuracy still depends on your input: descriptions and extracted text must be checked before publication; Credit-based pricing means heavy figure production can consume the allowance quickly; The enormous tool and template catalog can feel overwhelming for a first-time user

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

## Frequently Asked Questions

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

OpenAI Platform has 234,678,639 monthly visits, while SciFig has 91,473. 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%; SciFig has +4.7%.

### 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. SciFig: Freemium. Freemium. New users start with up to 150 free credits and can reach about 250 free credits on day one when joining through an invite, with no credit card required. Paid plans and credit packs are available, and the site states paid credits never expire. Pricing changes with promotions, so check the pricing page for current plan details.

## 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 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [MiniMax](https://openaitools.app/tool/minimax) | 273,687 | -86% | Contact for Pricing | Multimodal foundation models and AI-native products for text, video, image, speech, and music | [.md](https://openaitools.app/tool/minimax.md) |

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

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