Model Comparison

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

OpenAI

GPT-4.1 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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 nano

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 nano

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 nano

Average Score:60.5%
Mistral AI

Mistral Small 3.2 24B Instruct

+3.6%
Average Score:64.1%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 nano

code
74.5%
vision
55.4%
math
56.2%
general
32.4%
Mistral AI

Mistral Small 3.2 24B Instruct

code
+11.1%
85.6%
vision
+23.3%
78.7%
math
+12.1%
68.3%
general
+32.2%
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 nano

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 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
Mistral AI

Mistral Small 3.2 24B Instruct

0 providers
OpenAI

GPT-4.1 nano

Avg Score:60.5%
Providers:1
Mistral AI

Mistral Small 3.2 24B Instruct

+3.6%
Avg Score:64.1%
Providers:0