Model Comparison

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

Meta

Llama 3.2 11B Instruct

Meta

Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.

Amazon

Nova Pro

Amazon

Nova Pro is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 73.2% across 27 benchmarks. It excels particularly in ARC-C (94.8%), GSM8k (94.8%), DocVQA (93.5%). It supports a 600K token context window for handling large documents. 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 2024, it represents Amazon's latest advancement in AI technology.

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

Amazon

Nova Pro

Amazon

2024-11-20

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 11B Instruct

$3.90 cheaper
Input:$0.05
Output:$0.05
Amazon

Nova Pro

Input:$0.80
Output:$3.20

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 11B Instruct

Max Context:256.0K
Parameters:10.6B
Amazon

Nova Pro

Larger context
Max Context:600.0K

Average performance across 6 common benchmarks

Meta

Llama 3.2 11B Instruct

Average Score:63.4%
Amazon

Nova Pro

+12.3%
Average Score:75.6%

Performance comparison across key benchmark categories

Meta

Llama 3.2 11B Instruct

math
57.4%
vision
61.8%
general
+2.7%
70.1%
Amazon

Nova Pro

math
+28.3%
85.7%
vision
+17.3%
79.1%
general
67.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.2 11B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Meta

Llama 3.2 11B Instruct

6 providers

Sambanova

Throughput: 100 tok/s
Latency: 0.5ms

Together

Throughput: 168 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 108 tok/s
Latency: 0.5ms

Fireworks

Throughput: 125 tok/s
Latency: 0.2ms

Groq

Throughput: 100 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Amazon

Nova Pro

1 providers

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Meta

Llama 3.2 11B Instruct

Avg Score:63.4%
Providers:6
Amazon

Nova Pro

+12.3%
Avg Score:75.6%
Providers:1