Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 36.7% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. Overall, Gemma 3 4B is the stronger choice for coding tasks.
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 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.
5 days newer
Gemma 3 4B
2025-03-12
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Cost per million tokens (USD)
Gemma 3 4B
Mistral Small 3.1 24B Base
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 4B
Mistral Small 3.1 24B Base
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Mistral Small 3.1 24B Base
Gemma 3 4B
Mistral Small 3.1 24B Base
Gemma 3 4B
Mistral Small 3.1 24B Base
Mistral AI