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

Gemma 3n E4B Instructed
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Mistral Small 3.1 24B Base
Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.

Mistral Small 3.1 24B Base
Mistral AI
2025-03-17

Gemma 3n E4B Instructed
2025-06-26
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3n E4B Instructed

Mistral Small 3.1 24B Base
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed

Mistral Small 3.1 24B Base
Average performance across 3 common benchmarks

Gemma 3n E4B Instructed

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

Gemma 3n E4B Instructed

Mistral Small 3.1 24B Base
Gemma 3n E4B Instructed
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed
Together

Mistral Small 3.1 24B Base
Mistral AI

Gemma 3n E4B Instructed

Mistral Small 3.1 24B Base