# BigModel vs ExactScience

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. ExactScience records 0 monthly visits with 0% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [ExactScience](https://openaitools.app/tool/exactscience) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://www.exactscience.io |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI SEO Tools, AI Marketing, AI Digital Marketing |
| Pricing Model | Freemium | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 5,700,686 | 0 |
| MoM Growth Rate | -17% | 0% |
| Primary Market | China | Global |
| Direct Visits | 4,230,503 | 0 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 1 |
| 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)

## ExactScience

ExactScience positions itself as a modern alternative to rank trackers that still assume a search results page is ten blue links. Instead it captures the whole SERP with context: ads, featured snippets, rich results and organic listings, along with pixel and device data, so teams can see where they actually appear on a real device rather than just an abstract position number. An AI-driven Content Relevance Score, delivered through an Orbitwise integration, sits next to the search results and helps determine whether a page needs better content or more links to move up.

The platform is data-source agnostic and built for scale. It can normalize data from several SERP providers, handle very large keyword volumes, and lets teams choose refresh cadence from every 15 or 30 minutes up to daily. It also supports the things large organizations need: tracking many brands and competitors in one consolidated view, importing historical rankings from other tools so you keep your timeline, tagging keywords by site section, topic or buyer's journey stage, blending Google Search Console data for CTR and impression validation, and exporting everything to CSV. Slack alerts for significant ranking changes are listed as coming soon.

Pricing is deliberately credit-based. Instead of paying per keyword per domain, a credit covers one keyword refreshed daily for a month, so the same keyword across multiple domains and competitors does not cost extra. Public plans start at $99 per month for 2,000 credits and scale up through $499 for 10,000 credits and $1,249 for 25,000 credits, with an enterprise tier above that. A 7-day free trial covers 30 keywords tracked daily and requires no credit card.

**Pricing & Plans:** Credit-based subscription with a 7-day free trial (30 keywords, daily tracking, no credit card). Published tiers: Niche at $99/month for 2,000 credits, Vertical at $499/month for 10,000 credits, and Multi-Vertical at $1,249/month for 25,000 credits. A Multi Site Enterprise plan with 50,000+ credits is quote-only. Credits are priced at roughly $0.05 each and assumed daily refreshes; more frequent updates consume more credits.

- **Full-SERP absolute rank tracking:** Records ads, featured snippets, rich results and organic listings together with pixel and device data, so rankings reflect how results actually appear on a user's screen rather than an idealized top-ten list.
- **AI Content Relevance Score:** An Orbitwise integration scores how relevant a ranking page is to its target keyword, helping you decide whether to improve content quality or build more links to climb.
- **Credit-based keyword pricing:** One credit covers a single keyword refreshed daily for a month, tracked across unlimited domains, competitors and users — you are not charged again to watch the same keyword for other sites.
- **Google Search Console blending:** Connect GSC properties to pull roughly 16 months of data, validate ranking accuracy and surface CTR, clicks and impressions at keyword and URL level, including keywords ranking 10-20 you aren't tracking.
- **Flexible refresh cadence and export:** Choose weekly, daily, hourly or sub-hourly refreshes down to 15 or 30 minutes, and export a universal CSV covering rankings, pixel, device, competitive and refresh-frequency data for your own tooling.

**Strengths:** Captures the full SERP including ads, snippets and device/pixel context rather than only the top ten organic results; Credit system avoids paying twice for the same keyword across multiple brands and competitors; Transparent published pricing with an entry tier under $100 per month and a no-card free trial; Strong enterprise capabilities: 100M+ daily keyword capacity, historical imports, GSC blending and unlimited domains, users and exports

**Limitations:** Sub-hourly refresh cadences multiply credit consumption fast — 2,000 keywords hourly jumps to roughly $2,399 per month; Slack alerting was still listed as coming soon, so real-time notifications depend on workarounds; Positioned for larger SEO operations; smaller sites may find the entry credit pool excessive for their needs

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while ExactScience has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; ExactScience has 0%.

### 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. ExactScience: Free Trial, Paid, Contact for Pricing. Credit-based subscription with a 7-day free trial (30 keywords, daily tracking, no credit card). Published tiers: Niche at $99/month for 2,000 credits, Vertical at $499/month for 10,000 credits, and Multi-Vertical at $1,249/month for 25,000 credits. A Multi Site Enterprise plan with 50,000+ credits is quote-only. Credits are priced at roughly $0.05 each and assumed daily refreshes; more frequent updates consume more credits.

## 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 | [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) |
| 10 | [SiliconFlow](https://openaitools.app/tool/siliconflow) | 276,303 | -10.5% | Pay-as-you-go | One API for fast, cost-predictable inference on LLMs and multimodal models | [.md](https://openaitools.app/tool/siliconflow.md) |

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

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