# BigModel vs Sendmux

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Sendmux records 37 monthly visits with -98.3% growth and Free pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Sendmux](https://openaitools.app/tool/sendmux) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://sendmux.ai |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Developer Tools, AI Workflow, AI Email Assistant |
| Pricing Model | Freemium | Free |
| Monthly Visits | 5,700,686 | 37 |
| MoM Growth Rate | -17% | -98.3% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 12 |
| 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)

## Sendmux

Agents that need to handle email usually end up stitched together from two or three services: one platform for sending, another for receiving, and a pile of glue code to reconcile them. Sendmux collapses that into a single API surface. It covers outbound mail, agent mailboxes, routing controls, and delivery events, so an agent can send, receive, route, and react without juggling separate accounts and bills.

A key design decision is that inbox data is formatted for machine consumption. Gmail and Outlook typically return full HTML bodies that burn thousands of tokens before the agent gets to the actual content. Sendmux strips signatures and quoted history by default and exposes links, headers, and attachment metadata only when asked, so the model spends its budget on the message rather than the markup.

On the sending side, Sendmux is deliberately not a single-provider lock-in. A mailbox credential works as both a Bearer token for HTTP and a password for SMTP, and routing can be bound to specific providers, delivery groups, weights, and quota windows. Events arrive through signed webhooks, an SSE stream, or typed change polling, which means agents can react in real time rather than running polling loops. SDKs for TypeScript and Python, a CLI, framework integrations, and an MCP endpoint make it straightforward to wire the whole thing into an existing agent stack.

**Pricing & Plans:** Sendmux is listed as free, with two free mailboxes available to start and agent onboarding designed to be self-service. Pricing beyond the initial free mailboxes is not detailed on the landing page, so check the pricing page for current tiers.

- **Agent mailboxes:** Provision mailboxes on verified domains or a shared myagent.mx address, with clean JSON output that strips signatures and quotes.
- **Provider-flexible sending:** Send over HTTP or SMTP using the same mailbox credential as a Bearer token and SMTP password, with Idempotency-Key retries and attachment support.
- **Routing controls:** Bind keys to providers, delivery groups, weights, and quota windows so traffic stays inside the boundaries you set.
- **Real-time events:** Signed webhooks for delivery and receipt events, an SSE stream for live mailbox clients, and typed change polling for resync.
- **Developer tooling:** Official SDKs for TypeScript and Python, a CLI, LangChain and AI SDK integrations, and a hosted MCP endpoint with OAuth.

**Strengths:** One API for sending, receiving, routing, and events; Inbox payloads tuned for LLM token efficiency; Not locked to a single sending provider; Practical developer tooling: SDKs, CLI, MCP, framework integrations

**Limitations:** Newer platform, so the surrounding ecosystem and community material are still small; Using your own sending providers puts deliverability and domain reputation on you; Agent mailboxes still depend on correct DNS setup for verified domains

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while Sendmux has 37. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Sendmux has -98.3%.

### 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. Sendmux: Free. Sendmux is listed as free, with two free mailboxes available to start and agent onboarding designed to be self-service. Pricing beyond the initial free mailboxes is not detailed on the landing page, so check the pricing page for current tiers.

## 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 | [Missive](https://openaitools.app/tool/missive) | 631,353 | +0.2% | Free Trial, Paid | Collaborative inbox and email management for teams | [.md](https://openaitools.app/tool/missive.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) |

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

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