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Devstral Small

Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and released under the Apache 2.0 license, it features a 128k token context window and supports both Mistral-style function calling and XML output formats. Designed for agentic coding workflows, Devstral Small 1.1 is optimized for tasks such as codebase exploration, multi-file edits, and integration into autonomous development agents like OpenHands and Cline. It achieves 53.6% on SWE-Bench Verified, surpassing all other open models on this benchmark, while remaining lightweight enough to run on a single 4090 GPU or Apple silicon machine. The model uses a Tekken tokenizer with a 131k vocabulary and is deployable via vLLM, Transformers, Ollama, LM Studio, and other OpenAI-compatible runtimes.

Pricing

Input Price
$0.1000
/ 1M tokens
NT$ 3
Output Price
$0.3000
/ 1M tokens
NT$ 10
Context Window
131K
tokens

💱 匯率 USD/NTD = 32.34 · 不含稅 · 更新於 2026/07/22

ProviderDMistral
Released2025年7月
Model IDdevstral-small

Technical specifications

Context window
131K tokens
Reasoning
Input
TextFile
Output
Text
!
此模型已下架 — API 呼叫會回傳 HTTP 410,但本頁面保留以利歷史查詢

Quick Start

Use Devstral Small via BazaarLink API — just change the base_url:

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://bazaarlink.ai/api/v1",
    api_key="sk-bl-YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="devstral-small",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://bazaarlink.ai/api/v1",
  apiKey: "sk-bl-YOUR_API_KEY",
});

const response = await client.chat.completions.create({
  model: "devstral-small",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Devstral Small via BazaarLink?

  • USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
  • OpenAI-compatible API — zero code changes required
  • Automatic failover — multi-provider redundancy for the same model
  • Chinese-language support — local team, instant help
Try Now← All Models

Frequently Asked Questions

What is Devstral Small?

Devstral Small 1.1 is a 24B parameter open-weight language model for software engineering agents, developed by Mistral AI in collaboration with All Hands AI. Finetuned from Mistral Small 3.1 and released under the Apache 2.0 license, it features a 128k token context window and supports both Mistral-style function calling and XML output formats. Designed for agentic coding workflows, Devstral Small 1.1 is optimized for tasks such as codebase exploration, multi-file edits, and integration into autonomous development agents like OpenHands and Cline. It achieves 53.6% on SWE-Bench Verified, surpassing all other open models on this benchmark, while remaining lightweight enough to run on a single 4090 GPU or Apple silicon machine. The model uses a Tekken tokenizer with a 131k vocabulary and is deployable via vLLM, Transformers, Ollama, LM Studio, and other OpenAI-compatible runtimes.

How much does the Devstral Small API cost?

Devstral Small costs $0.1000 per 1K input tokens and $0.3000 per 1K output tokens when accessed through BazaarLink.

How do I use Devstral Small with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "devstral-small". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Devstral Small?

Devstral Small supports a context window of 131,072 tokens.

Is Devstral Small available for free?

Devstral Small is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

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