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.

Mistral AI

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Codestral-22B

Mistral AI

2024-05-29

Mistral AI

Magistral Medium

Mistral AI

2025-06-10

1 year newer

Performance Metrics

Context window and performance specifications

Mistral AI

Codestral-22B

Larger context
Max Context:65.5K
Parameters:22.2B
Mistral AI

Magistral Medium

Max Context:-
Parameters:24.0B

Performance comparison across key benchmark categories

Mistral AI

Codestral-22B

code
+20.9%
71.2%
general
34.0%
Mistral AI

Magistral Medium

code
50.3%
general
+19.1%
53.1%
Knowledge Cutoff
Training data recency comparison

Magistral Medium

2025-06-01

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
Mistral AI

Magistral Medium

0 providers
Mistral AI

Codestral-22B

Avg Score:0.0%
Providers:2
Mistral AI

Magistral Medium

Avg Score:0.0%
Providers:0