Model Comparison

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

Mistral AI

Codestral-22B

Mistral AI

Codestral-22B is a language model developed by Mistral AI. It achieves strong performance with an average score of 65.9% across 7 benchmarks. It excels particularly in HumanEvalFIM-Average (91.6%), HumanEval (81.1%), MBPP (78.2%). The model is available through 2 API providers. Released in 2024, it represents Mistral AI'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.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Codestral-22B

Input:$0.20
Output:$0.60
Meta

Llama 3.2 11B Instruct

$0.70 cheaper
Input:$0.05
Output:$0.05

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Max Context:65.5K
Parameters:22.2B
Meta

Llama 3.2 11B Instruct

Larger context
Max Context:256.0K
Parameters:10.6B

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

general
34.0%
Meta

Llama 3.2 11B Instruct

general
+36.1%
70.1%
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

Mistral AI

Codestral-22B

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Mistral AI

Throughput: 0.1 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
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2
Meta

Llama 3.2 11B Instruct

Avg Score:0.0%
Providers:6