Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Microsoft

Phi-3.5-MoE-instruct

Microsoft

Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Mistral AI

Pixtral-12B

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%). The model shows particular specialization in general tasks with an average performance of 75.5%. 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.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Mistral AI

Pixtral-12B

Mistral AI

2024-09-17

25 days newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi-3.5-MoE-instruct

Max Context:-
Parameters:60.0B
Mistral AI

Pixtral-12B

Larger context
Max Context:136.2K
Parameters:12.4B

Average performance across 3 common benchmarks

Microsoft

Phi-3.5-MoE-instruct

+6.6%
Average Score:69.7%
Mistral AI

Pixtral-12B

Average Score:63.1%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-MoE-instruct

code
+13.8%
75.8%
general
60.9%
math
+15.9%
69.0%
Mistral AI

Pixtral-12B

code
62.0%
general
+14.6%
75.5%
math
53.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-MoE-instruct

0 providers
Mistral AI

Pixtral-12B

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-MoE-instruct

+6.6%
Avg Score:69.7%
Providers:0
Mistral AI

Pixtral-12B

Avg Score:63.1%
Providers:1