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-multimodal-instruct

Microsoft

Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K 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 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-multimodal-instruct

Microsoft

2025-02-01

2 days newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Mistral Small 3 24B Instruct

Input:$0.07
Output:$0.14
Microsoft

Phi-4-multimodal-instruct

$0.06 cheaper
Input:$0.05
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-4-multimodal-instruct

Larger context
Max Context:256.0K
Parameters:5.6B

Performance comparison across key benchmark categories

Mistral AI

Mistral Small 3 24B Instruct

general
62.9%
math
+8.2%
70.6%
Microsoft

Phi-4-multimodal-instruct

general
+12.9%
75.8%
math
62.4%
Knowledge Cutoff
Training data recency comparison

Mistral Small 3 24B Instruct

2023-10-01

Phi-4-multimodal-instruct

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-multimodal-instruct

1 providers

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms
Mistral AI

Mistral Small 3 24B Instruct

Avg Score:0.0%
Providers:2
Microsoft

Phi-4-multimodal-instruct

Avg Score:0.0%
Providers:1