Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 19.5% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Ministral 8B 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
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Ministral 8B Instruct
Context window and performance specifications
Average performance across 35 common benchmarks
Gemma 3 4B
Ministral 8B Instruct
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Ministral 8B Instruct
Gemma 3 4B
Ministral 8B Instruct
Gemma 3 4B
Ministral 8B Instruct
Mistral AI