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.

Mistral AI

Ministral 8B Instruct

Mistral AI

Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

21 days newer

Pricing Comparison

Cost per million tokens (USD)

Meta

Llama 3.2 11B Instruct

$0.10 cheaper
Input:$0.05
Output:$0.05
Mistral AI

Ministral 8B Instruct

Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

Meta

Llama 3.2 11B Instruct

Max Context:256.0K
Parameters:10.6B
Mistral AI

Ministral 8B Instruct

Max Context:256.0K
Parameters:8.0B

Average performance across 2 common benchmarks

Meta

Llama 3.2 11B Instruct

+2.7%
Average Score:62.5%
Mistral AI

Ministral 8B Instruct

Average Score:59.8%

Performance comparison across key benchmark categories

Meta

Llama 3.2 11B Instruct

general
+5.4%
70.1%
math
+2.9%
57.4%
Mistral AI

Ministral 8B Instruct

general
64.7%
math
54.5%
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
Mistral AI

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms
Meta

Llama 3.2 11B Instruct

+2.7%
Avg Score:62.5%
Providers:6
Mistral AI

Ministral 8B Instruct

Avg Score:59.8%
Providers:1