+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi 4 Reasoning Plus vs Pixtral Large
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning Plus leads with 16.9% higher average benchmark score. Pixtral Large supports multimodal inputs. Overall, Phi 4 Reasoning Plus is the stronger choice for coding tasks.
+
+
+
+
Microsoft
Phi 4 Reasoning Plus is a language model developed by Microsoft. It achieves strong performance with an average score of 78.9% across 11 benchmarks. It excels particularly in FlenQA (97.9%), HumanEval+ (92.3%), IFEval (84.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft'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.
5 months newer
Pixtral Large
Mistral AI
2024-11-18
Phi 4 Reasoning Plus
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
+
+
+
+
Phi 4 Reasoning Plus
Average Score:48.2%(+16.9%)
+
+
+
+
Pixtral Large
Average Score:31.3%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning Plus
2025-03-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Phi 4 Reasoning Plus
0 providers
+
+
+
+
Pixtral Large
1 providers
Mistral AI
+
+
+
+
Phi 4 Reasoning Plus
Avg Score:48.2%(+16.9%)
Providers:0
+
+
+
+
Pixtral Large
Avg Score:31.3%
Providers:1