Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 1.6% higher average benchmark score. Pixtral-12B offers 72.2K more tokens in context window than Gemma 3n E4B Instructed. Pixtral-12B is $59.70 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). It supports a 136K 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 2024, it represents Mistral AI's latest advancement in AI technology.
9 months newer
Pixtral-12B
Mistral AI
2024-09-17
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Pixtral-12B
Context window and performance specifications
Average performance across 28 common benchmarks
Gemma 3n E4B Instructed
Pixtral-12B
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Pixtral-12B
Gemma 3n E4B Instructed
Pixtral-12B
Gemma 3n E4B Instructed
Pixtral-12B
Mistral AI