Mistral's new code model features a 32K context window for unmatched long code support

French AI company Mistral has launched Codestral, a new coding model that delivers high coding performance with less computational overhead than existing models.

According to Mistral, Codestral handles more than 80 programming languages, including common ones such as Python, Java, C, C++, JavaScript, and Bash, as well as more specialized ones such as Swift and Fortran. Features include code completion, test writing, and filling in incomplete code with a fill-in-the-middle mechanism.

As a 22-billion-parameter model, Codestral sets a new standard for the performance/latency ratio of code generation compared to existing models, Mistral claims. With its larger context window of 32,000 tokens, Codestral outperforms all other models in RepoBench, a benchmark for longer code generation.

Mistral compared the performance of Codestral in various benchmarks for Python, SQL and other languages with competing models that have higher hardware needs. Codestral consistently performed better, e.g. in completing code repositories over long distances or predicting Python output.