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 3.1 8B Instruct

Meta

Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

Meta

Llama 3.1 8B Instruct

Meta

2024-07-23

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Codestral-22B

Input:$0.20
Output:$0.60
Meta

Llama 3.1 8B Instruct

$0.74 cheaper
Input:$0.03
Output:$0.03

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Max Context:65.5K
Parameters:22.2B
Meta

Llama 3.1 8B Instruct

Larger context
Max Context:262.1K
Parameters:8.0B

Average performance across 1 common benchmarks

Mistral AI

Codestral-22B

+8.5%
Average Score:81.1%
Meta

Llama 3.1 8B Instruct

Average Score:72.6%

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

code
+5.4%
71.2%
general
34.0%
Meta

Llama 3.1 8B Instruct

code
65.8%
general
+20.0%
54.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama 3.1 8B 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 3.1 8B Instruct

9 providers

Sambanova

Throughput: 1050 tok/s
Latency: 0.5ms

Together

Throughput: 194 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 200 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 118 tok/s
Latency: 0.5ms

Fireworks

Throughput: 292 tok/s
Latency: 0.5ms

Groq

Throughput: 750 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms

Cerebras

Throughput: 2047 tok/s
Latency: 0.2ms
Mistral AI

Codestral-22B

+8.5%
Avg Score:81.1%
Providers:2
Meta

Llama 3.1 8B Instruct

Avg Score:72.6%
Providers:9