devstral2 VS Orca
devstral2 VS Orca对比，devstral2 和 Orca 有什么区别？
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总结
devstral2 总结
devstral2 着陆页
Orca 总结
Orca 着陆页
比较详细信息
devstral2 详细信息
| 类别 | AI代码助手, AI代码生成器, AI开发者工具, AI智能体, 开源AI模型, 人工智能接口 |
| devstral2 网站 | http://devstral2.com?utm_source=toolify |
| 添加时间 | 2025年12月11日 |
| devstral2 定价 | -- |
Orca 详细信息
| 类别 | AI代码助手, AI智能体, AI开发者工具 |
| Orca 网站 | https://www.onorca.dev?utm_source=toolify |
| 添加时间 | 2026年7月2日 |
| Orca 定价 | -- |
使用情况比较
如何使用 devstral2？
Users can access Devstral 2 via API, which is currently offered for free, or through self-hosted deployment on their own infrastructure with NVIDIA support. Mistral Vibe CLI can be installed directly in the terminal using a curl command (`curl -LsSf https://mistral.ai/vibe/install.sh | bash`) and then used as a native coding assistant.
如何使用 Orca？
Download and install Orca on macOS, Windows, or Linux. Plug in your existing AI subscriptions or CLI tools (like Claude Code or Codex). Create a workspace, spin up multiple agents across isolated git worktrees to handle different tasks, monitor their progress in the split terminal view, or use Design Mode to send UI feedback directly to your agents.
比较 devstral2 和 Orca 的优势
devstral2的核心功能
- State-of-the-art open-source coding model (Devstral 2)
- High performance on SWE-bench Verified (72.2% for Devstral 2, 68.0% for Devstral Small 2)
- Large context window (256K)
- Cost-efficient (up to 7x more than Claude Sonnet)
- Compact and efficient model sizes
- Code Agent Excellence (explores codebases, orchestrates changes, maintains architecture-level context)
- Smart Error Handling (tracks dependencies, detects failures, retries with corrections)
- Multi-File Orchestration across entire codebases
- Native, open-source command-line coding assistant (Mistral Vibe CLI)
- Customizable CLI for specific languages or enterprise codebases
- Project-Aware Context and Smart References in CLI
- Persistent History, autocompletion, and customizable themes in CLI
- IDE Integration for Mistral Vibe CLI (Zed extension, Agent Communication Protocol)
- Image Input Support for Devstral Small 2
Orca的核心功能
- Parallel AI agent execution in isolated git worktrees
- Ghostty-inspired WebGL terminals with infinite splits and full search
- Design Mode with embedded Chromium window for visual element feedback
- Native GitHub and Linear integrations for managing PRs, issues, and boards
- SSH Worktrees to run agents on robust remote servers with passphrase caching
- Inline diff comments to easily review and send feedback back to agents
比较使用案例
devstral2的使用案例
- Solving complex software engineering tasks autonomously
- Bug fixing across entire codebases
- Modernizing legacy systems
- Exploring and orchestrating changes in codebases
- Developing AI coding tools and agents
- Powering multimodal agents with image inputs (Devstral Small 2)
- Practical deployment on limited hardware (Devstral Small 2)
Orca的使用案例
- Fanning out a single prompt across multiple AI agents to compare and merge the best solution
- Running servers, tests, logs, and AI agents side-by-side without stashing or branch juggling
- Using a mobile companion app to monitor live agent status, check usage, and manage tasks on the go
devstral2和Orca的不同计划
devstral2
Free
Currently free via API
$0.40/$2.00 per million tokens
Future pricing for API access, integrated with Kilo Code and Cline
Orca
对不起，没有数据
devstral2的流量
devstral2 是月访问量为 643 且平均访问时长为 00:00:38 的工具。 devstral2 的每次访问页数为 2.65，跳出率为 34.88%。
最新流量情况
| 月访问量 | 643 |
| 平均·访问时长 | 00:00:38 |
| 每次访问页数 | 2.65 |
| 跳出率 | 34.88% |
Orca的流量
Orca 是月访问量为 28.0K 且平均访问时长为 00:00:46 的工具。 Orca 的每次访问页数为 1.68，跳出率为 54.27%。
最新流量情况
| 月访问量 | 28.0K |
| 平均·访问时长 | 00:00:46 |
| 每次访问页数 | 1.68 |
| 跳出率 | 54.27% |
地理位置
devstral2 的前 4 个国家/地区是：Kuwait 40.73%, South Africa 35.16%, Philippines 18.07%, France 6.04%
Top 4 国家/地区
 | 40.73% |
 | 35.16% |
 | 18.07% |
 | 6.04% |
地理位置
Orca 的前 5 个国家/地区是：United States 87.12%, Nigeria 7.69%, Norway 2.32%, India 2.15%, United Kingdom 0.71%
Top 5 国家/地区
 | 87.12% |
 | 7.69% |
 | 2.32% |
 | 2.15% |
 | 0.71% |
流量来源
devstral2 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
流量来源
Orca 的 6 个主要流量来源是：直接访问 58.58%, vs_sourcesSearchOrganic 17.58%, 外链引荐 11.43%, vs_sourcesSocialOrganic 11.20%, vs_sourcesGenAi 0.93%, vs_sourcesDisplayAds 0.28%, 邮件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接访问 | 58.58% |
vs_sourcesSearchOrganic | 17.58% |
外链引荐 | 11.43% |
vs_sourcesSocialOrganic | 11.20% |
vs_sourcesGenAi | 0.93% |
vs_sourcesDisplayAds | 0.28% |
邮件 | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
devstral2 或 Orca哪个更好？
Orca 可能比 devstral2 更受欢迎。如您所见，devstral2 每月有 643 次访问，而 Orca 每月有 28.0K 次访问。 所以更多的人选择了Orca。 因此，人们很可能会在社交平台上更多地推荐 Orca。
devstral2 的平均访问持续时间为 00:00:38，而 Orca 的平均访问持续时间为 00:00:46。 此外，devstral2 的每次访问页面为 2.65，跳出率为 34.88%。 Orca 的每次访问页面为 1.68，跳出率为 54.27%。
devstral2 的主要用户是Kuwait, South Africa, Philippines, France，分布如下：40.73%, 35.16%, 18.07%, 6.04%。
Orca 的主要用户是 United States, Nigeria, Norway, India, United Kingdom，分布如下：87.12%, 7.69%, 2.32%, 2.15%, 0.71%。
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