DeciCoder VS Replit Code V1.5 3B

Let’s have a side-by-side comparison of DeciCoder vs Replit Code V1.5 3B to find out which one is better. This software comparison between DeciCoder and Replit Code V1.5 3B 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 DeciCoder or Replit Code V1.5 3B fits your business.

DeciCoder

DeciCoder
DeciCoder 1B is a 1 billion parameter decoder-only code completion model trained on the Python, Java, and Javascript subsets of Starcoder Training Dataset.

Replit Code V1.5 3B

Replit Code V1.5 3B
Unlock your coding potential with Replit Code V-1.5 3B. This powerful Causal Language Model offers accurate code suggestions across programming languages.

DeciCoder

Launched 2023
Pricing Model Free
Starting Price
Tech used Amazon AWS CloudFront,cdnjs,Google Fonts,KaTeX,RSS,Stripe
Tag Code Autocomplete,Code Development,Developer Tools

Replit Code V1.5 3B

Launched 2024
Pricing Model Free
Starting Price 2023.10
Tech used
Tag Code Autocomplete,Code Development,Documentation Generation

DeciCoder Rank/Visit

Global Rank 0
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Month Visit 0

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Replit Code V1.5 3B Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

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Estimated traffic data from Similarweb

What are some alternatives?

When comparing DeciCoder and Replit Code V1.5 3B, you can also consider the following products

StableCode - StableCode-Completion-Alpha-3B-4K is a 3 billion parameter decoder-only code completion model pre-trained on diverse sets of programming languages that topped the stackoverflow developer survey.

Deci - Deci empowers deep learning developers to accelerate inference on edge or cloud, reach production faster, and maximize hardware potential.

DeepCoder-14B-Preview - DeepCoder: 64K context code AI. Open-source 14B model beats expectations! Long context, RL training, top performance.

StarCoder - StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks.

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