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 4 Reasoning

Microsoft

Phi 4 Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 75.1% across 11 benchmarks. It excels particularly in FlenQA (97.7%), HumanEval+ (92.9%), IFEval (83.4%). The model shows particular specialization in code tasks with an average performance of 76.7%. 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

Mistral Small 3 24B Instruct

Mistral AI

2025-01-30

Microsoft

Phi 4 Reasoning

Microsoft

2025-04-30

3 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 4 Reasoning

Max Context:-
Parameters:14.0B

Average performance across 4 common benchmarks

Mistral AI

Mistral Small 3 24B Instruct

Average Score:70.5%
Microsoft

Phi 4 Reasoning

+3.7%
Average Score:74.2%

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3 24B Instruct

code
+7.2%
83.9%
math
70.6%
general
62.9%
Microsoft

Phi 4 Reasoning

code
76.7%
math
+6.0%
76.6%
general
+11.4%
74.3%
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

Phi 4 Reasoning

2025-03-01

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 4 Reasoning

0 providers
Mistral AI

Mistral Small 3 24B Instruct

Avg Score:70.5%
Providers:2
Microsoft

Phi 4 Reasoning

+3.7%
Avg Score:74.2%
Providers:0