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

Microsoft

Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. 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 4

Microsoft

2024-12-12

Mistral AI

Mistral Small 3 24B Instruct

Mistral AI

2025-01-30

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral Small 3 24B Instruct

Input:$0.07
Output:$0.14
Microsoft

Phi 4

Input:$0.07
Output:$0.14

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

Max Context:32.0K
Parameters:14.7B

Average performance across 6 common benchmarks

Mistral AI

Mistral Small 3 24B Instruct

+1.6%
Average Score:72.9%
Microsoft

Phi 4

Average Score:71.3%

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3 24B Instruct

code
+7.7%
83.9%
roleplay
+35.9%
83.5%
math
70.6%
general
+2.6%
62.9%
Microsoft

Phi 4

code
76.1%
roleplay
47.6%
math
+9.9%
80.5%
general
60.2%
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

2024-06-01

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

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Mistral AI

Mistral Small 3 24B Instruct

+1.6%
Avg Score:72.9%
Providers:2
Microsoft

Phi 4

Avg Score:71.3%
Providers:1