# BigModel vs LabFig

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. LabFig records 4,976 monthly visits with +44.9% growth and Freemium pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [LabFig](https://openaitools.app/tool/labfig) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://labfig.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Image Generator, Image to Image, Text to Image |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 5,700,686 | 4,976 |
| MoM Growth Rate | -17% | +44.9% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 1,627 |
| Review Score | 4.6 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## BigModel

BigModel is Zhipu AI's developer-facing platform, offering API access to the company's GLM series of large language models and a broad set of multimodal capabilities. Instead of juggling separate vendors, teams can call text generation, vision-language understanding, OCR, speech recognition, speech synthesis, image generation, and video generation endpoints from one account and one set of credentials.

Beyond raw model access, the platform targets application builders. It includes an agent framework, MCP service support, knowledge-base tooling for retrieval-augmented generation, model fine-tuning workflows, and a model playground for quick testing in the browser. There are also adjacent offerings such as an AI coding assistant and visual/low-code building experiences aimed at teams that want to ship without heavy ML engineering.

For organizations with stricter requirements, BigModel supports private instance deployment and on-premise options, alongside token-based pay-as-you-go and enterprise contracts. This makes it a fit for both individual developers prototyping on a budget and enterprises that need data to stay inside their own infrastructure.

**Pricing & Plans:** BigModel follows a freemium, token-based model: new users typically receive free trial credits, then pay-as-you-go for API usage by tokens consumed. Larger volumes, private instance deployment, and on-premise installations are arranged through contact-for-pricing enterprise agreements. Always confirm current rates on the official pricing page.

- **GLM text and multimodal APIs:** Unified access to GLM large language models plus vision, OCR, speech, image, and video endpoints through one account.
- **Agent and MCP support:** Build tool-using agents and expose or consume MCP services to connect models to external systems.
- **Knowledge base and RAG tooling:** Create managed knowledge bases and retrieval pipelines so models can answer with your own documents.
- **Fine-tuning and playground:** Tune models on your data and prototype prompts interactively in the browser before shipping.
- **Private and on-premise deployment:** Run models in a private instance or on your own hardware for data-residency and compliance needs.

**Strengths:** Broad model coverage, from LLMs to vision, speech, and video, under one platform; Officially backs the GLM family, so model documentation and updates are first-party; Supports private and on-premise deployment for strict data requirements; Includes agent, knowledge-base, and fine-tuning tooling beyond raw API access

**Limitations:** Pricing and documentation are primarily Chinese-first, which can slow English-only teams; Some enterprise capabilities require sales contact rather than transparent self-serve pricing; Token costs can grow quickly for high-volume multimodal workloads

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

## LabFig

LabFig targets a very specific pain point in academic work: producing clean, consistent scientific figures without a design background. Instead of learning vector software or paying a designer, researchers describe a figure in words, drop in a paper, upload a sketch, or take a photo of a whiteboard, and the tool returns a structured draft with panels, labels, and arrows laid out. It supports journal-oriented aesthetics, with styles modelled on Nature, Cell, or IEEE conventions so figures in the same manuscript look like a set.

What sets LabFig apart from generic image generators is the editing layer. Figures are vector-first: text, arrows, shapes, and colours remain editable after generation, and individual regions can be replaced or regenerated with a short prompt through a feature called Vector Canvas. Exports include SVG and PDF alongside PNG, which matters when a submission template expects resizable artwork. There is also a Figure Enhancer path for cleaning up an existing figure's colour and line weights.

The workbench runs in seven modes covering text, image, PDF, sketch, reference, photo, and enhancer inputs, with credits consumed per generation. Pricing is credit-based across Starter, Standard, and Premium tiers, and academic discounts are available for verified students and educators. LabFig is explicit that AI-generated drafts should be reviewed by a scientist before publication, which is a sensible framing for a tool aimed at manuscript work.

**Pricing & Plans:** Credit-based subscription plans: a Starter tier aimed at occasional figure work, a Standard tier for active PhD students and postdocs, and a Premium tier for high-throughput labs. Annual billing reduces the monthly rate, and verified students and educators receive a discount. Monthly list prices run roughly from about $29.9 to about $149.9 before discounts.

- **Six-plus input modes:** Generate from text descriptions, hand sketches, reference figures, research PDFs, or lab photos.
- **Vector Canvas editing:** Labels, arrows, shapes, and colours stay editable, and single regions can be regenerated with a prompt.
- **Journal-grade styles:** Match the visual conventions of Nature, Cell, or IEEE with one-click styles, or keep a consistent set across a paper.
- **Resizable vector export:** Export SVG and PDF for submissions plus 300 dpi PNG, so figures drop into templates without rework.
- **Figure Enhancer:** Improve the colour balance and line weights of a figure you already have instead of starting over.

**Strengths:** Works from the inputs researchers actually have, from PDFs and sketches to whiteboard photos; Figures stay vector-editable after generation, unlike one-shot image generators; Journal-oriented styles help keep every figure in a manuscript visually consistent; Academic discount available for verified students and educators

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

## Frequently Asked Questions

### How do BigModel and LabFig compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while LabFig has 4,976. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; LabFig has +44.9%.

### How does pricing compare?

BigModel: Freemium. BigModel follows a freemium, token-based model: new users typically receive free trial credits, then pay-as-you-go for API usage by tokens consumed. Larger volumes, private instance deployment, and on-premise installations are arranged through contact-for-pricing enterprise agreements. Always confirm current rates on the official pricing page. LabFig: Freemium. Credit-based subscription plans: a Starter tier aimed at occasional figure work, a Standard tier for active PhD students and postdocs, and a Premium tier for high-throughput labs. Annual billing reduces the monthly rate, and verified students and educators receive a discount. Monthly list prices run roughly from about $29.9 to about $149.9 before discounts.

## 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 | Delivers exceptional open-weight reasoning performance at very low cost, but lacks BigModel's broad enterprise multi-modal agent building suite. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Provides industry-leading frontier intelligence and developer ecosystems, but lacks BigModel's specialized GLM architecture and native Chinese language optimizations. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Offers massive context windows and robust multimodal Gemini APIs, but differs in model architecture and regional enterprise tooling. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of global models under one API endpoint, whereas BigModel provides direct native infrastructure for Zhipu's GLM models. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.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 serverless open-source model hosting and dedicated GPU clusters, but provides less native proprietary GLM model integration. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers ultra-fast inference speeds for open-weight models, but focuses less on proprietary enterprise agent building toolkits than BigModel. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 9 | [Rendair AI](https://openaitools.app/tool/rendair-ai-platform) | 496,201 | +5.7% | Contact for Pricing | The AI workspace that turns architectural sketches and 3D models into client-ready visuals | [.md](https://openaitools.app/tool/rendair-ai-platform.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Offers highly cost-effective serverless inference for open models, but lacks BigModel's integrated enterprise knowledge base and agent tools. | [.md](https://openaitools.app/tool/deep-infra.md) |

---
Source: https://openaitools.app/compare/bigmodel-vs-labfig

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)