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.

Meta

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.2 3B Instruct

Meta

2024-09-25

OpenAI

GPT-4.1 mini

OpenAI

2025-04-14

6 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.1 mini

Input:$0.40
Output:$1.60
Meta

Llama 3.2 3B Instruct

$1.97 cheaper
Input:$0.01
Output:$0.02

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M
Meta

Llama 3.2 3B Instruct

Max Context:256.0K
Parameters:3.2B

Average performance across 3 common benchmarks

OpenAI

GPT-4.1 mini

+21.0%
Average Score:78.9%
Meta

Llama 3.2 3B Instruct

Average Score:57.9%

Performance comparison across key benchmark categories

OpenAI

GPT-4.1 mini

long_context
35.4%
code
+6.7%
84.1%
math
+11.8%
73.1%
general
+3.5%
45.9%
Meta

Llama 3.2 3B Instruct

long_context
+49.4%
84.7%
code
77.4%
math
61.3%
general
42.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

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
Meta

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s
Latency: 0.24ms
OpenAI

GPT-4.1 mini

+21.0%
Avg Score:78.9%
Providers:2
Meta

Llama 3.2 3B Instruct

Avg Score:57.9%
Providers:1