Codestral is Mistral's flagship code model — 22B parameters supporting 80+ programming languages with Fill-in-the-Middle completion, purpose-built for professional software development workflows.
Codestral (Mistral) is an AI model released 2025-05 by Mistral AI, a leading organization in large language model research. Codestral by Mistral — dedicated code model trained specifically for software engineering across 80+ programming languages. With 22B and a 256K tokens context window, Codestral (Mistral) is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.
Codestral (Mistral) uses a dense transformer architecture with 22B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. Mistral AI's training pipeline combined large-scale pretraining on a large-scale multilingual pretraining dataset with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Codestral (Mistral)'s characteristic balance of capability, helpfulness, and safety.
As of 2026-10-16, Codestral (Mistral) by Mistral AI demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 91.6%. For software engineering tasks, Codestral (Mistral) scores 91.6% on HumanEval, which tests ability to write correct functions from docstrings. These scores place Codestral (Mistral) — at 22B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
The primary strengths of Codestral (Mistral) are: 80+ languages; Code completion; Fill-in-the-middle; Speed. These make it particularly well-suited for Code completion, Multi-language projects, IDE integration. Users working on complex, multi-step problems benefit most from Codestral (Mistral)'s ability to maintain coherence across long inputs and produce structured, verifiable outputs.
Like all current AI systems, Codestral (Mistral) has limitations: Codestral Non-Production License — commercial use requires Mistral agreement; 22B requires 16GB+ VRAM for self-hosting; Newer Devstral and Qwen3 Coder variants may outperform on latest benchmarks. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. Mistral AI continues to improve Codestral (Mistral) through ongoing research.
Codestral (Mistral) is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making Codestral (Mistral) accessible to students, researchers, developers, and early-stage teams globally.
As of 2026-10-16, Codestral (Mistral) by Mistral AI demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 91.6%. For software engineering tasks, Codestral (Mistral) scores 91.6% on HumanEval, which tests ability to write correct functions from docstrings. These scores place Codestral (Mistral) — at 22B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.
Transformer
The training pipeline for Codestral (Mistral) involves multiple stages: large-scale pretraining on diverse multilingual text and code corpora to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety.
Inference efficiency: Codestral (Mistral) at 22B is designed to deliver quality outputs at practical serving speeds. Its 256K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.
Getting started with Codestral (Mistral) on LITHOVEX AI takes under two minutes. Follow these steps:
For best results with Codestral (Mistral): provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions. Since Codestral (Mistral) supports extended reasoning, prompting it to "think step by step" or "show your reasoning" activates deeper chain-of-thought analysis for math, logic, and complex problems.
Professional IDE integration for code completion in 80+ languages
Fill-in-the-Middle completion for complex code editing
European-origin code AI for EU technology companies
API endpoint and service code generation
Code documentation and test generation for software teams
Mistral AI is a French AI startup founded in April 2023 by former Google DeepMind and Meta AI researchers, headquartered in Paris. Within six months of founding, Mistral released Mistral 7B — a model that outperformed much larger contemporaries, demonstrating that careful training matters more than raw scale. The company has maintained a strong commitment to Apache 2.0 open releases, making it a favorite among European developers and organizations prioritizing data sovereignty. Mistral's model portfolio spans efficient 7B models to the 22B Codestral, specialized for software engineering. The company is backed by Andreessen Horowitz, Lightspeed, and General Catalyst, with a valuation exceeding $6 billion as of 2024.
Funding: $1.1B raised (a16z, Lightspeed, General Catalyst)
Founded: 2023.
Codestral (Mistral) by Mistral AI competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.
Both Codestral (Mistral) and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.
Codestral serves the global professional developer market as Mistral's entry into specialized code AI. European organizations in particular favor it for its EU-origin research pedigree, while its 80+ language support makes it practically useful for the polyglot real-world of professional software development.
Codestral (Mistral) by Mistral AI has the following version history and notable updates:
For the complete changelog and latest release notes, visit the official Mistral AI model page.