Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3 4B
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Mistral Small 3.1 24B Instruct
Mistral AI
Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). The model shows particular specialization in code tasks with an average performance of 81.6%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Gemma 3 4B
2025-03-12

Mistral Small 3.1 24B Instruct
Mistral AI
2025-03-17
5 days newer
Performance Metrics
Context window and performance specifications

Gemma 3 4B

Mistral Small 3.1 24B Instruct
Average performance across 6 common benchmarks

Gemma 3 4B

Mistral Small 3.1 24B Instruct
Performance comparison across key benchmark categories

Gemma 3 4B

Mistral Small 3.1 24B Instruct
Gemma 3 4B
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 4B
DeepInfra

Mistral Small 3.1 24B Instruct

Gemma 3 4B

Mistral Small 3.1 24B Instruct