# Belva vs DeepSeek

Belva records 0 monthly visits with 0% month-over-month growth and Paid pricing. DeepSeek records 372,761,591 monthly visits with +4.3% growth and Freemium pricing.

| Metric | [Belva](https://openaitools.app/tool/belva) | [DeepSeek](https://openaitools.app/tool/deepseek) |
| :--- | :--- | :--- |
| Website URL | https://belva.ai | https://www.deepseek.com |
| Categories | AI Agent, AI Assistant, AI Voice Assistants, AI Customer Service | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 0 | 372,761,591 |
| MoM Growth Rate | 0% | +4.3% |
| Primary Market | Global | China |
| Direct Visits | 0 | 291,585,405 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 6 | 44 |
| Supported Platforms | Website | Website |

## Belva

Belva describes itself as a company that builds intelligent, human-centered products for both organizations and individuals. Rather than shipping a single narrow tool, it presents a portfolio approach: shared AI infrastructure underneath, with vertical applications layered on top. That infrastructure is AiDB, Belva's proprietary knowledge system. AiDB acts as the intelligence layer behind an organization's AI tools and workflows, keeping information organized and current so recommendations and insights stay grounded as teams update their data.

The most visible application built on AiDB is LawGoat. For consumers, LawGoat offers a human-like conversation that helps people who are not lawyers figure out which area of law applies to their situation and get matched with an appropriate legal professional — lowering the barrier to finding legal help. For law firms, LawGoat works as a legal operating system: intelligent agents act on the firm's behalf, handling lead qualification, client follow-up and routine casework. Firms can customize agents in plain language without developers, and connect case management, email and document storage through just-in-time MCP connections that sync bi-directionally.

Belva's stated technical focus is easing the context burden on large language models. The company claims this enables larger effective context windows, fewer hallucinations and more grounded outputs, better task execution in complex or dynamic environments, and greater autonomy so AI can act with context-aware precision. Belva lists transparency, collaboration, innovation and empowerment as core values, and says its story began with a lawyer's effort to simplify complex legal processes.

**Pricing & Plans:** Belva lists its offering as paid, with pricing determined on a per-product basis. The public site does not publish plan tiers or rates for AiDB or LawGoat, so prospective customers — especially law firms evaluating LawGoat — should contact Belva directly for a quote.

- **AiDB knowledge system:** A proprietary intelligence layer that keeps an organization's information organized, current and synchronized as teams update it, so AI tools and workflows always work from fresh business data.
- **LawGoat for consumers:** A human-like conversational AI that helps non-lawyers identify the relevant area of law and matches them with a suitable legal professional.
- **LawGoat for law firms:** Always-on legal agents that automate lead qualification, client follow-up and routine casework so attorneys can concentrate on higher-value work.
- **No-code agent customization:** Firms shape agents using plain language rather than code, starting from pre-built agents and tuning them to the firm's language, structure and priorities.
- **MCP system integrations:** Connects case management, email and document storage through just-in-time MCP connections with bi-directional sync to keep everything automatically up to date.

**Strengths:** Covers both business and consumer needs through a shared technology platform rather than isolated point tools; LawGoat for firms includes no-code agent customization, so legal teams do not need developers to adapt agents; MCP-based integrations with bi-directional sync connect existing case management, email and document systems automatically; AiDB is positioned as a continuously synchronized knowledge layer, which supports more grounded AI outputs as data changes

**Limitations:** No public pricing information for AiDB or LawGoat, so buyers must go through a sales conversation first; The public site is fairly high-level and light on technical documentation, detailed feature specs and third-party benchmarks; Product lineup appears to be expanding, which means some areas may be newer and less battle-tested than established legal software

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

## DeepSeek

DeepSeek (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) is a frontier AI research organization that disrupted the global LLM market by pairing open-weight transparency with breakthrough Mixture-of-Experts (MoE) and reinforcement-learning reasoning efficiency. Following the landmark releases of DeepSeek-V3 and the peer-reviewed DeepSeek-R1 reasoning model, DeepSeek introduced the DeepSeek-V4 generation in 2026—featuring a hybrid attention architecture and a native 1-million-token context window across DeepSeek-V4-Pro (1.6T total parameters, 49B active per token) and DeepSeek-V4.1-Flash (284B total parameters, 13B active per token).

Users can interact with DeepSeek in three ways: completely free through the consumer web portal (chat.deepseek.com) and mobile apps with one-click toggles for deep thinking and live web search; via DeepSeek's hosted, OpenAI-compatible developer API; or by self-hosting DeepSeek's open-weight checkpoints (including V3, R1, Prover-V2, and distilled Qwen/Llama variants) on private infrastructure. The models excel at competitive mathematics, algorithm design, repository-level software engineering, and structured data extraction, with automatic context caching on the API that slashes repeated prompt costs by over 95%.

In late 2026, DeepSeek remains the price-performance benchmark for developers and automation workflows. While the consumer chat interface remains free without a mandatory $20/month subscription tier, the developer API transitioned in late 2026 to two primary endpoints—`deepseek-flash` and `deepseek-v4-pro`—with time-of-day pricing. Off-peak API calls cost just $0.15 per million input tokens ($0.003 on cache hits) and $0.60 per million output tokens on Flash, and $0.66 input / $1.98 output on V4-Pro, making it a fraction of the cost of comparable Western frontier models.

**Pricing & Plans:** Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

- **DeepSeek-V4 Hybrid Attention & 1M Context:** Leverages a sparse Mixture-of-Experts architecture (49B active parameters out of 1.6T on V4-Pro) to process up to 1 million tokens with minimal latency and memory overhead.
- **Transparent Chain-of-Thought Reasoning:** Pioneered by DeepSeek-R1 and integrated into V3.2 and V4 thinking modes, exposing step-by-step self-verification for complex math, logic, and code debugging.
- **Automatic Context Caching & Off-Peak API Pricing:** Drops input token costs to $0.003/1M on Flash and $0.022/1M on V4-Pro for cache hits, with 50% lower rates during off-peak UTC hours.
- **Free Consumer Web & Mobile Assistant:** Provides free access at chat.deepseek.com and on iOS/Android with document uploads, reasoning mode, and web search without paywalling core models.
- **Open-Weight Ecosystem & Self-Hosting Freedom:** Offers open weights for DeepSeek-V3, R1, Distill variants, and Prover models on Hugging Face and GitHub so enterprises can deploy within air-gapped environments.

**Strengths:** Completely free consumer web and mobile app with deep reasoning and web search included; Ultra-low API token rates ($0.15/$0.60 on Flash, $0.66/$1.98 on V4-Pro off-peak) with up to 98% savings on cached inputs; Drop-in OpenAI API compatibility makes switching or routing between models effortless; Strong open-weight lineage allows teams to self-host or fine-tune models without vendor lock-in

**Limitations:** Hosted API and web app store data on servers in China, prompting compliance restrictions for some Western enterprises and government agencies; Peak-hour API pricing (01:00–04:00 and 06:00–10:00 UTC on weekdays) doubles per-token costs compared to off-peak rates; Lacks native voice mode, video generation, and productivity suite integrations offered by ChatGPT and Google Gemini

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

## Frequently Asked Questions

### How do Belva and DeepSeek compare in monthly traffic?

Belva has 0 monthly visits, while DeepSeek has 372,761,591. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Belva has a month-over-month growth rate of 0%; DeepSeek has +4.3%.

### How does pricing compare?

Belva: Paid. Belva lists its offering as paid, with pricing determined on a per-product basis. The public site does not publish plan tiers or rates for AiDB or LawGoat, so prospective customers — especially law firms evaluating LawGoat — should contact Belva directly for a quote. DeepSeek: Freemium. Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [Grok](https://openaitools.app/tool/grok) | 203,846,050 | -0.8% | Freemium | Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows. | [.md](https://openaitools.app/tool/grok.md) |
| 5 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 6 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 7 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Provides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 8 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 9 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Excels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support. | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 10 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power. | [.md](https://openaitools.app/tool/ollama.md) |

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Source: https://openaitools.app/compare/belva-vs-deepseek

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