Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 27.7% higher average benchmark score. Gemma 3 4B offers 198.1K more tokens in context window than Mistral Small 3 24B Instruct. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. 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 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model is available through 2 API providers. 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.
1 month newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Mistral Small 3 24B Instruct
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 4B
Mistral Small 3 24B Instruct
Mistral Small 3 24B Instruct
2023-10-01
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Mistral Small 3 24B Instruct
Gemma 3 4B
Mistral Small 3 24B Instruct
Gemma 3 4B
Mistral Small 3 24B Instruct
DeepInfra
Mistral AI