Model Comparison

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

Meta

Llama 3.2 90B Instruct

Meta

Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. 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 2024, it represents Meta's latest advancement in AI technology.

OpenAI

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Meta

Llama 3.2 90B Instruct

Meta

2024-09-25

OpenAI

o3-mini

OpenAI

2025-01-30

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 90B Instruct

$4.75 cheaper
Input:$0.35
Output:$0.40
OpenAI

o3-mini

Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 90B Instruct

Max Context:256.0K
Parameters:90.0B
OpenAI

o3-mini

Larger context
Max Context:300.0K

Average performance across 4 common benchmarks

Meta

Llama 3.2 90B Instruct

Average Score:71.9%
OpenAI

o3-mini

+16.6%
Average Score:88.5%

Performance comparison across key benchmark categories

Meta

Llama 3.2 90B Instruct

general
+18.2%
73.5%
math
+4.4%
70.7%
OpenAI

o3-mini

general
55.2%
math
66.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.2 90B Instruct

5 providers

Together

Throughput: 57 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 24 tok/s
Latency: 0.5ms

Fireworks

Throughput: 50 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
OpenAI

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Meta

Llama 3.2 90B Instruct

Avg Score:71.9%
Providers:5
OpenAI

o3-mini

+16.6%
Avg Score:88.5%
Providers:2