Model Comparison

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

OpenAI

GPT-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.8% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. 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 Mistral AI's latest advancement in AI technology.

OpenAI

GPT-4.1 mini

OpenAI

2025-04-14

Mistral AI

Mistral Small 3.2 24B Instruct

Mistral AI

2025-06-20

2 months newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M
Mistral AI

Mistral Small 3.2 24B Instruct

Max Context:-
Parameters:23.6B

Average performance across 4 common benchmarks

OpenAI

GPT-4.1 mini

+10.5%
Average Score:74.6%
Mistral AI

Mistral Small 3.2 24B Instruct

Average Score:64.1%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 mini

code
84.1%
vision
72.7%
math
+4.8%
73.1%
general
45.9%
Mistral AI

Mistral Small 3.2 24B Instruct

code
+1.5%
85.6%
vision
+6.0%
78.7%
math
68.3%
general
+18.7%
64.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Mistral Small 3.2 24B Instruct

2023-10-01

GPT-4.1 mini

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
Mistral AI

Mistral Small 3.2 24B Instruct

0 providers
OpenAI

GPT-4.1 mini

+10.5%
Avg Score:74.6%
Providers:2
Mistral AI

Mistral Small 3.2 24B Instruct

Avg Score:64.1%
Providers:0