# BigModel vs Received AI

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Received AI records 0 monthly visits with -100% growth and Paid, Contact for Pricing pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Received AI](https://openaitools.app/tool/received) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://received.ai |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Accounting, AI For Finance, AI Contract Management, AI Productivity Tools |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 5,700,686 | 0 |
| MoM Growth Rate | -17% | -100% |
| Primary Market | China | Global |
| Direct Visits | 4,230,503 | 0 |
| Review Score | 4.6 | 4.1 |
| 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)

## Received AI

Received targets B2B finance and FinOps teams that have outgrown spreadsheets. Instead of stitching together CSV exports, engineering tickets, and manual reconciliation, teams configure pricing models and contract terms directly in the platform and let it generate invoices, track usage, and reconcile payments. It supports self-serve subscriptions embedded into a company's own website, sales-led enterprise contracts with multi-year terms and milestones, and partner billing for referrals and resellers.

A core differentiator is its "spreadsheet-in-a-system" pricing configuration, which lets finance staff build and adjust any pricing model — subscriptions, usage, services, or hybrid — without engineering support. Received also handles revenue recognition beyond standard subscriptions, including usage, milestones, and price allocation for ASC 606 and IFRS 15 compliance, alongside real-time analytics covering every level of financial operations.

Integration is a major selling point: Received connects to ERP, CRM, PSP, and tax systems, and notably supercharges Stripe-based payment flows. Pricing is stage-based rather than volume-taxed, with the vendor emphasizing that it does not take a cut of customer revenue. A Start-Up tier ($250/mo) has eligibility limits (max 20 employees, max $500K ARR, under $5M raised, one year only), while Lite starts at $490/mo and higher tiers add usage automation, NetSuite/Salesforce integrations, B2B revenue recognition, and channel partner management.

**Pricing & Plans:** Paid, contact for pricing. Self-serve pricing tiers: Start-Up from $250/mo (qualification limits apply), Lite from $490/mo, with Plus and Received All tiers available via sales. Pricing is based on company stage and needs, with no revenue tax or volume commitments.

- **Contract-based billing automation:** Automate invoicing for bespoke multi-year enterprise contracts with varied products and pricing models, replacing manual spreadsheet processing.
- **Self-serve subscription charging:** Embed Received into your own website to manage self-led customers and auto-charge self-serve contracts without engineering work.
- **Channel partner management:** Handle referral and reseller billing, automate partner fees and sales commissions, and monitor partner activity and top-line contributions.
- **ASC 606 and IFRS 15 revenue recognition:** Go beyond subscription RevRec with support for usage, milestones, and price allocation across complex contracts.
- **Usage billing and integrations:** Track product usage in real time via CSV, API, or manual entry, and connect to ERP, CRM, PSP, and tax systems including NetSuite, Salesforce, QuickBooks, Xero, and Stripe.

**Strengths:** Purpose-built for B2B complexity rather than adapted from consumer subscription billing; Finance users can build and change pricing models without engineering support; Covers the full revenue lifecycle: pricing, invoicing, payments, reconciliation, and RevRec; Strong integration coverage across ERP, CRM, PSP, and tax tooling, with deep Stripe support

**Limitations:** No transparent self-serve checkout; several tiers require contacting sales; Entry-level Start-Up tier has strict eligibility limits and is capped at one year; Implementation and migration effort may be significant for teams moving off spreadsheets

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

## Frequently Asked Questions

### How do BigModel and Received AI compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while Received AI 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%; Received AI has -100%.

### 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. Received AI: Paid, Contact for Pricing. Paid, contact for pricing. Self-serve pricing tiers: Start-Up from $250/mo (qualification limits apply), Lite from $490/mo, with Plus and Received All tiers available via sales. Pricing is based on company stage and needs, with no revenue tax or volume commitments.

## 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-received

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