How do their growth rates compare?

APIMaster has a month-over-month growth rate of +152.7%; DeepSeek has +4.3%.

How does pricing compare?

APIMaster: Paid. Pay as you go on prepaid credit. The site advertises discounts of up to about 95% off reference model prices and mentions a $20 trial. Prices are shown per million tokens for input and output and differ by provider route; some routes are listed around $0.45 per million input tokens against a $10 per million reference price. 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).

What are alternatives to APIMaster and DeepSeek?

Other tools in related categories include ChatGPT, Google Gemini, Claude, OpenAI Platform, Grok.

APIMaster vs DeepSeek — Traffic, Pricing & Feature Comparison

OpenAITools

APIMaster vs DeepSeek — Traffic, Pricing & Feature Comparison | OpenAITools.app

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	APIMaster	DeepSeek
Official Domain	apimaster.ai	deepseek.com
Pricing Model	Paid	Freemium
Monthly Visits	143.65K (143,648)	372.76M (372,761,591)
MoM Traffic Delta	+86.81K (+152.7%)	+15.36M (+4.3%)
Primary Market & Share	🇺🇸 United States (16.6%)	🇨🇳 China (50.5%)
Direct Visits / mo	63.91K	291.59M
User Rating	5	3.8
Supported Platforms	Website	Website

APIMaster

One API key for GPT, Claude, Nano Banana and Seedance

Strengths & Pros

+Single key across many model families
+Transparent per-token price comparison
+Automatic failover helps keep requests stable

Limitations

–Requests run through third-party provider routes rather than the official API
–Discounts and available routes change frequently

DeepSeek

High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs.

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