DataLearner logoDataLearnerAI
Latest AI Insights
Model Evaluations
Model Directory
Model Comparison
Resource Center
Tools
LanguageEnglish

加载中...

DataLearner logoDataLearner AI

A knowledge platform focused on LLM benchmarking, datasets, and practical instruction with continuously updated capability maps.

Products

  • Leaderboards
  • Model comparison
  • Datasets

Resources

  • Tutorials
  • Editorial
  • Tool directory

Company

  • About
  • Privacy policy
  • Data methodology
  • Contact

© 2026 DataLearner AI. DataLearner curates industry data and case studies so researchers, enterprises, and developers can rely on trustworthy intelligence.

Privacy policyTerms of service
Page navigation
目录
Model catalogDevstral Small 1.0
DE

Devstral Small 1.0

Devstral Small 1.0

Release date: 2025-05-26更新于: 2025-07-11 12:55:14650
Live demoGitHubHugging FaceCompare
Parameters
240.0亿
Context length
128K
Chinese support
Supported
Reasoning ability

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Devstral Small 1.0

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
4096 tokens
Model type
编程大模型
Release date
2025-05-26
Model file size
48GB
MoE architecture
No
Total params / Active params
240.0B / N/A
Knowledge cutoff
No data
Devstral Small 1.0

Open source & experience

Code license
Apache 2.0
Weights license
Apache 2.0- 免费商用授权
GitHub repo
GitHub link unavailable
Hugging Face
https://huggingface.co/mistralai/Devstral-Small-2505
Live demo
https://chat.mistral.ai/chat
Devstral Small 1.0

Official resources

Paper
Upgrading agentic coding capabilities with the new Devstral models
DataLearnerAI blog
No blog post yet
Devstral Small 1.0

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard pricingStandard
ModalityInputOutput
Text$0.1$0.3
Devstral Small 1.0

Benchmark Results

Devstral Small 1.0 currently shows benchmark results led by SWE-bench Verified (81 / 93, score 46.80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking
All modesNormal

编程与软件工程

1 evaluations
Benchmark / mode
Score
Rank/total
SWE-bench Verified
Off
46.80
81 / 93
View benchmark analysisCompare with other models
Devstral Small 1.0

Publisher

MistralAI
MistralAI
View publisher details
Devstral Small 1.0

Model Overview

Devstral Small 1.0是Mistral开源的编程大模型，免费商用授权，在SWE-Bench Verfied上得分很好。

DataLearner 官方微信

欢迎关注 DataLearner 官方微信，获得最新 AI 技术推送

DataLearner 官方微信二维码