Model Comparison

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

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.

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

o4-mini

Max Context:-

Average performance across 1 common benchmarks

Llama 3.2 3B Instruct

Average Score:32.8%

o4-mini

+48.6%

Average Score:81.4%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

math

61.3%

general

42.5%

o4-mini

math

+23.0%

84.3%

general

+21.9%

64.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

o4-mini

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

o4-mini

0 providers

Llama 3.2 3B Instruct

Avg Score:32.8%

Providers:1

o4-mini

+48.6%

Avg Score:81.4%

Providers:0