Codestral

KoodPole saadaval

Mistral AI pooltcodestral

Mistral's code-specialized model. Optimized for code generation, completion, and understanding across 80+ languages.

Olek: Pole saadaval
Kontekst: 256 000 tokenit
Maks. väljund: 8192 tokenit
Sisend → väljund: Tekst → Tekst
Arendaja: Mistral AI
Uuendatud: 23. september 2026

Codestral pole hetkel saadaval

Selle lehe üksikasju saad jätkuvalt lugeda. Võrdsete mudelite kohe käivitamiseks vali allpool üks saadaolevatest alternatiividest.

Mine alternatiividele

Võrreldavad mudelid

Kõik selles kategoorias

Code Llama 13B InstructMeta
Meta's 13B Code Llama tuned for instruction following. A faster mid-size option for code generation and completion, supporting infilling for inserting code at a cursor position. Served on Replicate per call.
≈ 0,0065 $/käivitus
Võrdle Codestral ja Code Llama 13B Instruct
Code Llama 34B InstructMeta
Meta's 34B Code Llama tuned for instruction following. A balance of size and quality for code generation, completion, and explanation, with strong coverage of Python, JavaScript, and other common languages. Runs on Replicate per call.
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Võrdle Codestral ja Code Llama 34B Instruct
Code Llama 70B InstructMeta
Meta's largest Code Llama, a 70B Llama-2 derivative specialized for programming and tuned to follow instructions in chat form. Handles code generation, completion, and explanation across common languages. Served on Replicate as a per-call endpoint.
≈ 0,0504 $/käivitus
Võrdle Codestral ja Code Llama 70B Instruct

Playground

Proovi Codestral

Vestlus

Hetkel pole saadaval

Praegu pole saadaval.

Mänguväljakud on keelatud. Sarnaseid mudeleid leiad samast kategooriast: Vaata alternatiive

Saada sõnum. Vastus saabub täielikult, kui mudel on valmis (ilma voogesituseta).

Süsteemi käsklus

Maks. vastuse pikkus (tokenid)

⌘/Ctrl + Enter

See käivitus

Hind puudub – praegu pole saadaval.

Oled siin uus?

10 tasuta krediiti (0,10 $), kui registreeritud Google'iga

Kasutatav 24 tundi pärast registreerimist, kuni 5 käivitust päevas ja maksimaalselt 2 krediiti käivituse kohta. Muud sisselogimismeetodid algavad ilma krediitideta.

Teave: Codestral

LühidaltSeisuga 23. september 2026

Codestral on mudel, mille on välja töötanud Mistral AI kategoorias Kood. Codestral ei ole Railwail'is praegu saadaval. Konteksti aken sisaldab 256 000 märksõna ja üks vastus võib olla kuni 8192 märksõna pikkune.

Taust

Teave Mistral AI kohta

Asutatud 2023 · Paris, France

Mistral AI was founded in April 2023 in Paris by Arthur Mensch (CEO, former DeepMind), Guillaume Lample and Timothée Lacroix (both former Meta FAIR co-authors of the LLaMA papers). Mistral has built a frontier-scale European LLM lab with a portfolio mixing fully open-weight releases (Mistral 7B, Mixtral 8x7B, Mixtral 8x22B, Mistral Small) and commercial closed-API models (Mistral Large, Mistral Embed, Mistral Saba). The company has raised over €1B from investors including Andreessen Horowitz, General Catalyst, Lightspeed, Salesforce, Nvidia and Microsoft, with a 2024 valuation around €6B. Codestral was released May 2024 as Mistral's first dedicated code model — a 22B dense transformer trained on 80+ programming languages with native fill-in-the-middle support for IDE integrations. A successor, Codestral 25.01, followed in January 2025.

Külasta Mistral AI

Arhitektuur

Decoder-only Transformer for code (Mistral architecture)

Codestral-22B is a 22B dense decoder-only transformer using Mistral's standard architecture: 56 layers, 6,144 hidden size, 48-head grouped-query attention with 8 KV heads, sliding-window attention (4,096-token window), RoPE positional embeddings with theta=1M (for long-context support), SwiGLU activations and RMSNorm. The tokeniser is the Mistral BPE with 32,768 entries plus added fill-in-the-middle special tokens (`[PREFIX]`, `[SUFFIX]`, `[MIDDLE]`). Training combined a standard left-to-right autoregressive objective with FIM training for IDE-grade code completion. The training corpus covers 80+ programming languages drawn from public code repositories, plus natural-language code documentation pairs and instruction data for the chat / explain capability. Released May 2024 under the Mistral AI Non-Production License (MNPL), which permits open-weights research and evaluation but not commercial production use without a separate license or hosted API access.

Parameetrid: 22B (dense)
Kontekst: 32 000 tokenit

Võimalused

22B dense transformer purpose-built for code
Native fill-in-the-middle (FIM) for IDE autocomplete
Trained on 80+ programming languages
32K context window
Competitive with CodeLlama-34B and DeepSeek-Coder-33B at smaller size
Strong on mainstream: Python, JS/TS, Java, C/C++, Go, Rust, Bash, SQL, PHP, Swift
Open weights available under MNPL (research only)
Best for: IDE code completion, code generation, explanation and refactoring across mainstream languages.

Treening ja litsents

Trained on trillions of tokens (exact figure not disclosed) of public code repositories across 80+ programming languages, natural-language code-documentation pairs, and instruction-style code data for chat and explain capabilities. Knowledge cutoff approximately early 2024. Training combined autoregressive and fill-in-the-middle objectives.

Litsents: Mistral AI Non-Production License (MNPL). Open weights for research, evaluation and personal use; commercial production requires Mistral commercial license or hosted API access (la Plateforme, AWS Bedrock, Azure AI Studio).

Turvalisuse testimine: Mistral publishes a model card for Codestral. Safety focus is on code-specific risks (malware, vulnerability generation) rather than general consumer-chat alignment.

Teadaolevad piirangud

MNPL blocks commercial production use of open weights
Smaller than successor Codestral 25.01 and below DeepSeek-Coder V2 on top benchmarks
32K context shorter than newer code models (DeepSeek-Coder V2: 128K)
Weaker on rare languages and DSLs
Not as strong on agentic / repo-level reasoning as longer-context code models
No multimodal input (no image-of-code understanding)

Teadusartiklid

Hinnad

Praegu pole saadaval. Sellel mudelil pole hetkel hinda, seega seda ei saa käivitada.

API

Kutsu Codestral oma Railwail API võtmega. Kasuta selles päringus seda mudeli ID-d:

codestralVaata API dokumentatsiooni Hangi API võti

Praegu pole saadaval

Mudelil puudub kontrollitud hind või see on keelatud; API-kutsed lükatakse tagasi.

Spetsifikatsioonid

Mudeli ID: codestral
Arendaja: Mistral AI
Kategooria: Kood
Sisend: Tekst
Väljund: Tekst
Konteksti aken: 256 000 tokenit
Maks. väljund: 8192 tokenit
Mudeli suurus: 22B (dense)
Litsents: Mistral AI Non-Production License (MNPL). Open weights for research, evaluation and personal use; commercial production requires Mistral commercial license or hosted API access (la Plateforme, AWS Bedrock, Azure AI Studio).
Kataloogi kirje uuendatud: 23. september 2026

Sildid

coding
fast
multilanguage

Näite-prompid

Näited Railwail kataloogist. Neid ei loodud otse sellel lehel.

TypeScript API Handler
Write a type-safe Express middleware for JWT authentication in TypeScript
Näita näite vastust
import { Request, Response, NextFunction } from 'express'; import jwt from 'jsonwebtoken'; interface JwtPayload { userId: string; email: string; role: 'admin' | 'user'; } declare global { namespace Express { interface Request { user?: JwtPayload; } } } export const authenticate = ( req: Request, res: Response, next: NextFunction ): void => { const token = req.headers.authorization?.split(' ')[1]; if (!token) { res.status(401).json({ error: 'No token provided' }); return; } try { const decoded = jwt.verify( token, process.env.JWT_SECRET! ) as JwtPayload; req.user = decoded; next(); } catch (err) { res.status(403).json({ error: 'Invalid or expired token' }); } };
Rust Error Handling
Write a Rust function that reads a JSON config file and returns a parsed struct with proper error handling
Näita näite vastust
use serde::Deserialize; use std::fs; use std::path::Path; use thiserror::Error; #[derive(Debug, Deserialize)] pub struct AppConfig { pub host: String, pub port: u16, pub database_url: String, pub max_connections: Option<u32>, } #[derive(Error, Debug)] pub enum ConfigError { #[error("Failed to read config file: {0}")] IoError(#[from] std::io::Error), #[error("Failed to parse config JSON: {0}")] ParseError(#[from] serde_json::Error), #[error("Config file not found: {0}")] NotFound(String), } pub fn load_config(path: &str) -> Result<AppConfig, ConfigError> { if !Path::new(path).exists() { return Err(ConfigError::NotFound(path.to_string())); } let contents = fs::read_to_string(path)?; let config: AppConfig = serde_json::from_str(&contents)?; Ok(config) } // Usage: // let config = load_config("config.json")?;

Kasutamise juhtumid

Milleks seda kasutatakse

IDE code completion (continue.dev, JetBrains)
Code generation and refactoring
Code explanation and review
Cross-language code translation
Self-hosted developer assistants (research)
Production deployments via Mistral hosted API

Seotud juhendid

AI Coding & Code Generation Models

Kõik mudelid: Kood

Korduma kippuvad küsimused

Mis on Codestral?

Codestral on mudel, mille töötas välja Mistral AI kategoorias Kood. See on loetletud Railwail'is, kuid hetkel ei saa seda käivitada.

Kui palju maksab Codestral Railwail'is?

Codestral ei saa hetkel Railwail'is käivitada, seega pole praegust hinda. Saadaolevad alternatiivid koos hindadega on loetletud selle lehe allpool.

Kui suur on Codestral konteksti aken?

Codestral konteksti aken sisaldab 256 000 märksõna. Üks vastus võib olla kuni 8192 märksõna pikkune.

Kui kiire on Codestral?

Codestral kohta ei ole Railwail'is veel piisavalt mõõdetud käivitusi, et käivitusaega väita. See sõltub sisendist, seadistustest ja pakkuja koormusest.

Kas Codestral on parem kui Code Llama 13B Instruct?

See sõltub ülesandest. Codestral (Mistral AI) ja Code Llama 13B Instruct (Meta) on mõlemad mudelid kategoorias Kood. Võrdlusleht näitab nende hindu ja spetsifikatsioone kõrvuti.

Võrdle Codestral ja Code Llama 13B Instruct

Kas saan Codestral kohe kasutada?

Praegu pole saadaval. Leht jääb veebis; saadaolevad alternatiivid samast kategooriast on loetletud allpool.

Kõik mudelid ühe API kaudu

Üks API võti kõigile Railwail mudelitele. Kasutamine arvestatakse eelmakstud krediitidest, 1 krediit = 0,01 $.

Hangi API võti Vaata kõiki mudeleid