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

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

o1-mini

OpenAI

2024-09-12

Meta

Llama 3.2 90B Instruct

Meta

2024-09-25

13 days newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 90B Instruct

$14.25 cheaper
Input:$0.35
Output:$0.40
OpenAI

o1-mini

Input:$3.00
Output:$12.00

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 90B Instruct

Larger context
Max Context:256.0K
Parameters:90.0B
OpenAI

o1-mini

Max Context:193.5K

Average performance across 2 common benchmarks

Meta

Llama 3.2 90B Instruct

Average Score:66.3%
OpenAI

o1-mini

+6.3%
Average Score:72.6%

Performance comparison across key benchmark categories

Meta

Llama 3.2 90B Instruct

math
70.7%
general
+15.5%
73.5%
OpenAI

o1-mini

math
+19.3%
90.0%
general
58.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Meta

Llama 3.2 90B Instruct

Avg Score:66.3%
Providers:5
OpenAI

o1-mini

+6.3%
Avg Score:72.6%
Providers:2