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-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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-3.5-mini-instruct

Microsoft

2024-08-23

Mistral AI

Mistral Small 3 24B Instruct

Mistral AI

2025-01-30

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral Small 3 24B Instruct

Input:$0.07
Output:$0.14
Microsoft

Phi-3.5-mini-instruct

$0.01 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Mistral AI

Mistral Small 3 24B Instruct

Max Context:64.0K
Parameters:24.0B
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 5 common benchmarks

Mistral AI

Mistral Small 3 24B Instruct

+25.7%
Average Score:70.9%
Microsoft

Phi-3.5-mini-instruct

Average Score:45.2%

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3 24B Instruct

code
+17.7%
83.9%
math
+9.7%
70.6%
general
+7.5%
62.9%
Microsoft

Phi-3.5-mini-instruct

code
66.2%
math
60.9%
general
55.4%
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-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Mistral AI

Mistral Small 3 24B Instruct

+25.7%
Avg Score:70.9%
Providers:2
Microsoft

Phi-3.5-mini-instruct

Avg Score:45.2%
Providers:1