Model Comparison

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

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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Codestral-22B

Mistral AI

2024-05-29

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

3 months newer

Performance Metrics

Context window and performance specifications

Codestral-22B

Larger context

Max Context:65.5K

Parameters:22.2B

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Average performance across 2 common benchmarks

Codestral-22B

Average Score:79.7%

Qwen2.5-Coder 7B Instruct

+6.3%

Average Score:85.9%

Performance comparison across key benchmark categories

Codestral-22B

code

+13.9%

71.2%

general

34.0%

Qwen2.5-Coder 7B Instruct

code

57.3%

general

+18.3%

52.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Codestral-22B

2 providers

Google

Throughput: 42 tok/s

Latency: 0.4ms

Mistral AI

Throughput: 0.1 tok/s

Latency: 0.5ms

Qwen2.5-Coder 7B Instruct

0 providers

Codestral-22B

Avg Score:79.7%

Providers:2

Qwen2.5-Coder 7B Instruct

+6.3%

Avg Score:85.9%

Providers:0