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Tools/Gemma vs StarCoder
Gemma

Gemma

open-source-model
vs
StarCoder

StarCoder

open-source-model

Gemma vs StarCoder — Comparison

Overview
What each tool does and who it's for

Gemma

Our most capable open models

A new level of intelligence for mobile and IoT devices Frontier intelligence on personal computers Byte for byte, the most capable open models. Purpose-built for advanced reasoning and agentic workflows High-dimensional medical imaging interpretation in a compute-efficient model from Health AI Developer Foundations A collection of translation models to help people communicate across 55 languages Helping the AI safety community deepen understanding of complex language model behavior Bringing bespoke function calling to the edge The next generation of encoder-decoder models The world's most capable differentially private LLM The best-in-class open model for on-device embeddings The compact model for hyper-efficient AI A new collection of encoder-decoder Gemma models Our most capable open models for health AI development A new level of intelligence for mobile and IoT devices Frontier intelligence on personal computers A new level of intelligence for mobile and IoT devices Frontier intelligence on personal computers Flexible encoder-decoder models that excel at deep contextual understanding A collection of models trained for medical text and image comprehension, enabling the development of healthcare AI A modular classifier model for detecting policy-violating content and upholding safety standards Flexible encoder-decoder models that excel at deep contextual understanding A collection of models trained for medical text and image comprehension, enabling the development of healthcare AI A modular classifier model for detecting policy-violating content and upholding safety standards Lentera runs an offline AI microserver for educators and students Crane AI Labs improves Swahili language understanding in a lightweight model Marine biologists and AI engineers partnered to develop DolphinGemma Lentera runs an offline AI microserver for educators and students Crane AI Labs improves Swahili language understanding in a lightweight model Marine biologists and AI engineers partnered to develop DolphinGemma Official documentation, quickstarts, and guides to build applications with Gemma Ask questions on the developer forum Official documentation, quickstarts, and guides to build applications with Gemma Ask questions on the developer forum Large Language Models (LLMs), such as Gemma, may sometimes provide inaccurate or offensive content that doesn’t represent Google’s views. Use discretion before relying on, publishing, or otherwise using content provided by LLMs. Don’t rely on LLMs for medical, legal, financial, or other professional advice. Any content regarding those topics is provided for informational purposes only and is not a substitute for advice from a qualified professional.

StarCoder

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

The model was trained on GitHub code as well as additional selected data sources such as Arxiv and Wikipedia. As such it is not an instruction model and commands like "Write a function that computes the square root." do not work well. Here are some examples to get started with the model. You can find a script for fine-tuning in StarCoder2's GitHub repository. First, make sure to install transformers from source: The pretraining dataset of the model was filtered for permissive licenses and code with no license only. Nevertheless, the model can generate source code verbatim from the dataset. The code's license might require attribution and/or other specific requirements that must be respected. We provide a search index that let's you search through the pretraining data to identify where generated code came from and apply the proper attribution to your code. The model has been trained on source code from 600+ programming languages. The predominant language in source is English although other languages are also present. As such the model is capable to generate code snippets provided some context but the generated code is not guaranteed to work as intended. It can be inefficient, contain bugs or exploits. See the paper for an in-depth discussion of the model limitations. The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement here.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
0
6,761
GitHub Stars
2,050
603
GitHub Forks
192
—
npm Downloads/wk
—
—
PyPI Downloads/mo
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Community Sentiment
How developers feel about each tool based on mentions and reviews

Gemma

0% positive100% neutral0% negative

StarCoder

0% positive100% neutral0% negative
Pricing

Gemma

tiered

StarCoder

tiered
Features

Only in Gemma (10)

Introducing Gemma 4Introducing MedGemma 1.5 4BIntroducing TranslateGemmaIntroducing Gemma Scope 2Introducing FunctionGemmaIntroducing T5Gemma 2Introducing VaultGemmaIntroducing EmbeddingGemmaIntroducing Gemma 3 270MIntroducing T5Gemma

Only in StarCoder (6)

bigcode/the-stack-v2-train-full-ids💫 StarCoder2StarCoder 2 and The Stack v2: The Next GenerationEfficient Training of Language Models to Fill in the MiddleFlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessLongformer: The Long-Document Transformer
Developer Ecosystem
2,850
GitHub Repos
29
69,947
GitHub Followers
1,804
20
npm Packages
20
40
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Gemma

No screenshots

StarCoder

StarCoder screenshot 1StarCoder screenshot 2
Company Intel
information technology & services
Industry
information technology & services
—
Employees
690
—
Funding
$395.7M
—
Stage
Series D
Supported Languages & Categories

Gemma

StarCoder

AI/ML
View Gemma Profile View StarCoder Profile