Model Comparison

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

Cohere

Command R+

Cohere

Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). The model shows particular specialization in reasoning tasks with an average performance of 81.7%. It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.

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.

Cohere

Command R+

Cohere

2024-08-30

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

26 days newer

Pricing Comparison

Cost per million tokens (USD)

Cohere

Command R+

Input:$0.25
Output:$1.00
Meta

Llama 3.2 11B Instruct

$1.15 cheaper
Input:$0.05
Output:$0.05

Performance Metrics

Context window and performance specifications

Cohere

Command R+

Max Context:256.0K
Parameters:104.0B
Meta

Llama 3.2 11B Instruct

Max Context:256.0K
Parameters:10.6B

Average performance across 1 common benchmarks

Cohere

Command R+

+2.7%
Average Score:75.7%
Meta

Llama 3.2 11B Instruct

Average Score:73.0%

Performance comparison across key benchmark categories

Cohere

Command R+

general
+5.6%
75.7%
math
+13.3%
70.7%
Meta

Llama 3.2 11B Instruct

general
70.1%
math
57.4%
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

Cohere

Command R+

2 providers

Cohere

Throughput: 59 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
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
Cohere

Command R+

+2.7%
Avg Score:75.7%
Providers:2
Meta

Llama 3.2 11B Instruct

Avg Score:73.0%
Providers:6