Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 49.0% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Devstral Small 1.1. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B 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 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.
4 months newer
Gemma 3 4B
2025-03-12
Devstral Small 1.1
Mistral AI
2025-07-11
Cost per million tokens (USD)
Devstral Small 1.1
Gemma 3 4B
Context window and performance specifications
Average performance across 27 common benchmarks
Devstral Small 1.1
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
Gemma 3 4B
Devstral Small 1.1
Gemma 3 4B
Devstral Small 1.1
Gemma 3 4B
DeepInfra