Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 32.4% higher average benchmark score. Gemma 3 4B offers 6.1K more tokens in context window than Mistral Large 2. Gemma 3 4B is $7.94 cheaper per million tokens. 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 Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
7 months newer
Mistral Large 2
Mistral AI
2024-07-24
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Mistral Large 2
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3 4B
Mistral Large 2
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Mistral Large 2
Gemma 3 4B
Mistral Large 2
Gemma 3 4B
Mistral Large 2
Mistral AI