MiniCPM3-4B VS MiniGPT-4

Let’s have a side-by-side comparison of MiniCPM3-4B vs MiniGPT-4 to find out which one is better. This software comparison between MiniCPM3-4B and MiniGPT-4 is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether MiniCPM3-4B or MiniGPT-4 fits your business.

MiniCPM3-4B

MiniCPM3-4B
MiniCPM3-4B is the 3rd generation of MiniCPM series. The overall performance of MiniCPM3-4B surpasses Phi-3.5-mini-Instruct and GPT-3.5-Turbo-0125, being comparable with many recent 7B~9B models.

MiniGPT-4

MiniGPT-4
Enhance vision-language understanding with MiniGPT-4. Generate image descriptions, create websites, identify humor elements, and more! Discover its versatile capabilities.

MiniCPM3-4B

Launched
Pricing Model Free
Starting Price
Tech used
Tag Content Creation,Background Changer

MiniGPT-4

Launched 2023
Pricing Model Free
Starting Price
Tech used Fastly,Font Awesome,Google Fonts,GitHub Pages,jQuery,Varnish,HSTS,YouTube
Tag Image To Text,Content Creation,Website Builders

MiniCPM3-4B Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

MiniGPT-4 Rank/Visit

Global Rank 2584652
Country United States
Month Visit 37213

Top 5 Countries

8.82%
6.37%
4.08%
2.31%
2.15%
United States Andorra China Turkey Belarus

Traffic Sources

43.33%
30.53%
17.91%
8.23%
Direct Search Referrals Social

Estimated traffic data from Similarweb

What are some alternatives?

When comparing MiniCPM3-4B and MiniGPT-4, you can also consider the following products

MiniCPM-2B - MiniCPM is an End-Side LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings (2.7B in total).

MiniMax-M1 - MiniMax-M1: Open-weight AI model with 1M token context & deep reasoning. Process massive data efficiently for advanced AI applications.

MiniCPM-Llama3-V 2.5 - With a total of 8B parameters, the model surpasses proprietary models such as GPT-4V-1106, Gemini Pro, Qwen-VL-Max and Claude 3 in overall performance.

MiniMe - Universal AI memory that discovers patterns you didn't know existed. Hybrid search (semantic+lexical+categorical) achieves 85% precision@5 vs 45% for pure vector databases. Persistent clustering reveals: 'auth bugs share root causes across 4 projects,' 'this fix worked 3/4 times but failed in distributed systems.' MCP-native: one brain for Claude, Cursor, Windsurf, VS Code. 100% local via Docker—your code never leaves your machine. Deploy in 60sec. Stop losing context—start compounding knowledge.

More Alternatives