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.

Alibaba

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

Alibaba

QwQ-32B

Alibaba

2025-03-05

9 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Larger context
Max Context:65.5K
Parameters:22.2B
Alibaba

QwQ-32B

Max Context:-
Parameters:32.5B

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

code
71.2%
general
34.0%
Alibaba

QwQ-32B

code
+2.4%
73.6%
general
+36.4%
70.4%
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

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
Alibaba

QwQ-32B

0 providers
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2
Alibaba

QwQ-32B

Avg Score:0.0%
Providers:0