Use Codestral 22B v0.1 for Free

Codestral 22B v0.1 is an AI model released May 2024 by mistralai, a leading organization in large language model research. Mistral's flagship 22B code model — speaks 80+ languages, excellent at code generation, debugging, fill-in-the-middle, and tests. With 22B and a 32K tokens context window, Codestral 22B v0.1 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 22B v0.1 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. mistralai's training pipeline combined large-scale pretraining on Over 80 billion tokens of code from 81 programming languages with supervised fine-tuning and alignment techniques (RLHF or DPO), producing Codestral 22B v0.1's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, Codestral 22B v0.1 by mistralai demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 81.1%. For software engineering tasks, Codestral 22B v0.1 scores 81.1% on HumanEval, which tests ability to write correct functions from docstrings. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place Codestral 22B v0.1 — 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 22B v0.1 are: Mistral's dedicated code model — 81 programming languages; Fill-in-the-middle for IDE code completion (VS Code, JetBrains, Neovim); Strong at shell scripting, SQL, data science; Mistral API for production deployment. These make it particularly well-suited for Professional software development in enterprises, IDE code completion with FIM, Cross-language polyglot workflows, SQL and data science generation. Users working on complex, multi-step problems benefit most from Codestral 22B v0.1's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, Codestral 22B v0.1 has limitations: Codestral Non-Commercial License — commercial use requires paid Mistral subscription; 32K context limits large codebases; Superseded by Qwen2.5-Coder-32B on benchmarks. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. mistralai continues to improve Codestral 22B v0.1 through ongoing research.

Codestral 22B v0.1 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 22B v0.1 accessible to students, researchers, developers, and early-stage teams globally.

As of 2026-10-16, Codestral 22B v0.1 by mistralai demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 81.1%. For software engineering tasks, Codestral 22B v0.1 scores 81.1% on HumanEval, which tests ability to write correct functions from docstrings. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place Codestral 22B v0.1 — 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.

Dense transformer, 22B parameters, specialized for code generation

The training pipeline for Codestral 22B v0.1 involves multiple stages: large-scale pretraining on Over 80 billion tokens of code from 81 programming languages 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. mistralai's research team — based in France — has optimized Codestral 22B v0.1 for the specific capability profile described above.

Inference efficiency: Codestral 22B v0.1 at 22B is designed to deliver quality outputs at practical serving speeds. Its 32K 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 22B v0.1 on LITHOVEX AI takes under two minutes. Follow these steps:

For best results with Codestral 22B v0.1: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

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: Raised $1.3B+; valuation ~$6B

Founded: 2023, headquartered in France.

Visit the official mistralai website →

Codestral 22B v0.1 by mistralai 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 22B v0.1 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 22B is the premier European open-source code model, important for organizations in the EU that prefer AI from providers subject to EU data protection frameworks. Its 80+ language support and Fill-in-the-Middle capabilities make it a professional-grade alternative to GitHub Copilot for privacy-conscious teams.

Codestral 22B v0.1 by mistralai has the following version history and notable updates:

For the complete changelog and latest release notes, visit the official mistralai model page.