Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 61.0% higher average benchmark score. Gemma 3 27B offers 6.1K more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.
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.
4 months newer
Gemma 3 27B
2025-03-12
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
Gemma 3 27B
Context window and performance specifications
Average performance across 27 common benchmarks
Devstral Small 1.1
Gemma 3 27B
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Gemma 3 27B
Devstral Small 1.1
Gemma 3 27B
Devstral Small 1.1
Gemma 3 27B
DeepInfra
Novita