Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 28.7% higher average benchmark score. Gemma 3 27B offers 6.1K more tokens in context window than Ministral 8B Instruct. Both models have similar pricing. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 27B
2025-03-12
Cost per million tokens (USD)
Gemma 3 27B
Ministral 8B Instruct
Context window and performance specifications
Average performance across 35 common benchmarks
Gemma 3 27B
Ministral 8B Instruct
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
Gemma 3 27B
Ministral 8B Instruct
Gemma 3 27B
Ministral 8B Instruct
Ministral 8B Instruct
Mistral AI