# BigModel vs DeepInfra

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. DeepInfra records 457,810 monthly visits with -8.9% growth and Paid pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [DeepInfra](https://openaitools.app/tool/deep-infra) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://deepinfra.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Models, AI API, Large Language Models (LLMs), AI Text Generator |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 5,700,686 | 457,810 |
| MoM Growth Rate | -17% | -8.9% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 237,817 |
| Review Score | 4.6 | 4.6 |
| 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)

## DeepInfra

DeepInfra positions itself as an inference cloud rather than a model lab: the product is fast, cheap, reliable access to models other people trained. The catalog spans more than 200 models grouped by task (text generation, text-to-image, text-to-music, text-to-speech, text-to-video, automatic speech recognition, embeddings, rerankers, zero-shot image classification) and by family, so you can pick a Claude, DeepSeek, Flux, Gemini, GLM, Kimi, Llama, Mistral, Nemotron or Qwen model and call it through the same API. Pricing is transparent and usage-based, quoted per million tokens with separate input, output and cached-input rates, and many models carry promotional discounts.

Beyond plain model hosting, DeepInfra runs its own inference-optimized hardware in US-based data centers and layers managed options on top: DeepStart for deploying your own models, DeepCluster for GPU clusters and on-demand GPU rental billed per instance-hour, plus a chat playground for quick testing. The company emphasizes security and privacy — a zero-retention policy for inputs and outputs, SOC 2 and ISO 27001 certifications — which matters for teams handling sensitive data. A large funding round (announced as a $107M Series B) and reported 25x growth in token volume signal an actively scaling business.

Practically, DeepInfra is aimed at engineering teams who want OpenAI-compatible style API calls without managing infrastructure, at startups that need cheap high-volume inference, and at organizations that want to rent GPUs for fine-tuning or custom serving on the same platform they use for hosted models.

**Pricing & Plans:** Paid, pay-as-you-go. Model inference is billed per million tokens with separate input, output and cached-input rates, and many models show temporary percentage discounts. On-demand GPUs are billed per instance-hour. No long-term contracts; enterprise support and custom arrangements are available via contact sales.

- **200+ Model Catalog:** Access text, image, speech, music and video models from multiple families through one consistent API, with task- and family-based browsing.
- **Transparent Token Pricing:** Per-million-token rates with input, output and cached-input breakdowns shown up front, including current discounts on many models.
- **On-Demand GPU Rental:** Rent data-center GPUs by the instance-hour when you need raw compute for fine-tuning, custom serving or burst workloads.
- **Zero-Retention Privacy:** Inputs and outputs are not retained, and the platform holds SOC 2 and ISO 27001 certifications for information security.
- **Managed Deployment Options:** DeepStart and DeepCluster let teams deploy their own models and scale clustered inference without building the infrastructure themselves.

**Strengths:** Very broad model catalog covering text, image, audio and video tasks behind one API; Transparent per-token pricing with cached-input rates and frequent promotional discounts; Security posture is documented: zero retention, SOC 2 and ISO 27001; Self-hosted, inference-optimized hardware with GPU rental and cluster options for scaling

**Limitations:** Costs are metered per token, so spend can grow quickly with high-volume or long-context workloads; The catalog changes fast, which means model names and prices need periodic rechecking; Some models in the listing are previews or promotional, so production reliability varies by model

[Profile (Markdown)](https://openaitools.app/tool/deep-infra.md)

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while DeepInfra has 457,810. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; DeepInfra has -8.9%.

### 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. DeepInfra: Paid. Paid, pay-as-you-go. Model inference is billed per million tokens with separate input, output and cached-input rates, and many models show temporary percentage discounts. On-demand GPUs are billed per instance-hour. No long-term contracts; enterprise support and custom arrangements are available via contact sales.

## 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 | Provides direct developer API access to Google's proprietary Gemini models rather than community open-weight models. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Acts as an API router across multiple hosting providers rather than hosting models directly like DeepInfra. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 5 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Delivers significantly faster token generation speeds using specialized LPU hardware, though supporting a smaller model catalog. | [.md](https://openaitools.app/tool/groq.md) |
| 6 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Optimized specifically for ultra-fast generative media and vision model inference rather than general-purpose LLMs. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 7 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Offers comparable serverless open-weight model hosting and fine-tuning, but with dedicated GPU cluster options. | [.md](https://openaitools.app/tool/together-ai.md) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Stronger ecosystem for deploying custom machine learning models and fine-weights, but generally higher inference pricing. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Provides a unified AI inference platform across multiple modalities via an OpenAI-compatible API. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/bigmodel-vs-deep-infra

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