+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Pixtral Large vs QwQ-32B
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 3.0% higher average benchmark score. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Pixtral Large
Mistral AI
2024-11-18
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
+
+
+
+
Pixtral Large
Average Score:40.3%(+3.0%)
+
+
+
+
QwQ-32B
Average Score:37.3%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Pixtral Large
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
+
+
+
+
QwQ-32B
+
+
+
+
Pixtral Large
Avg Score:40.3%(+3.0%)
Providers:1
+
+
+
+
QwQ-32B
Avg Score:37.3%
Providers:0