Model Comparison

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

Mistral AI

Mistral Small 3 24B Instruct

Mistral AI

Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model shows particular specialization in code tasks with an average performance of 83.9%. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

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.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Mistral AI

Mistral Small 3 24B Instruct

Mistral AI

2025-01-30

5 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Small 3 24B Instruct

Larger context
Max Context:64.0K
Parameters:24.0B
Microsoft

Phi-3.5-MoE-instruct

Max Context:-
Parameters:60.0B

Average performance across 5 common benchmarks

Mistral AI

Mistral Small 3 24B Instruct

+20.9%
Average Score:70.9%
Microsoft

Phi-3.5-MoE-instruct

Average Score:50.0%

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3 24B Instruct

code
+8.1%
83.9%
math
+1.6%
70.6%
general
+1.9%
62.9%
Microsoft

Phi-3.5-MoE-instruct

code
75.8%
math
69.0%
general
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Mistral Small 3 24B Instruct

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Mistral Small 3 24B Instruct

2 providers

DeepInfra

Throughput: 49 tok/s
Latency: 0.2ms

Mistral AI

Throughput: 134 tok/s
Latency: 0.2ms
Microsoft

Phi-3.5-MoE-instruct

0 providers
Mistral AI

Mistral Small 3 24B Instruct

+20.9%
Avg Score:70.9%
Providers:2
Microsoft

Phi-3.5-MoE-instruct

Avg Score:50.0%
Providers:0