+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 2 9B vs Pixtral Large
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 20.5% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Gemma 2 9B is the stronger choice for coding tasks.
+
+
+
+
Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
+
+
+
+
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Gemma 2 9B
2024-06-27
Pixtral Large
Mistral AI
2024-11-18
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
+
+
+
+
Gemma 2 9B
Average Score:45.0%(+20.5%)
+
+
+
+
Pixtral Large
Average Score:24.5%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemma 2 9B
0 providers
+
+
+
+
Pixtral Large
1 providers
Mistral AI
+
+
+
+
Gemma 2 9B
Avg Score:45.0%(+20.5%)
Providers:0
+
+
+
+
Pixtral Large
Avg Score:24.5%
Providers:1