Cohere Command A vs Devin
Which one should you pick? Here's the full breakdown.
Cohere Command A
Cohere's enterprise-multilingual flagship -- 111B params, 256K context, runs on 2x H100. 23 languages. CC-BY-NC 4.0 on weights (research / non-commercial), commercial requires Cohere enterprise contract. Follow-ups: Command A Reasoning + Command A Vision
Devin
The most autonomous AI coding agent -- Devin 2.2 (Feb 24 2026) adds desktop/GUI testing (Figma, browser automation), Devin Review (pull-request analysis catching ~30% more issues), and ~3x faster startup (~15s vs ~45s). Now embedded in Windsurf 2.0
Powered by Cognition proprietary orchestration over Claude / GPT / Gemini + Devin's own tuned components
| Category | Cohere Command A | Devin |
|---|---|---|
| Ease of Use | 6.5 | 6.5 |
| Output Quality | 8.5 | 8.0 |
| Value | 7.0 | 7.0 |
| Features | 8.0 | 8.0 |
| Overall | 7.5 | 7.4 |
Pricing Comparison
| Feature | Cohere Command A | Devin |
|---|---|---|
| Free Tier | Yes | No |
| Starting Price | $0 | $20 |
Which Should You Pick?
Pick Cohere Command A if...
- ✓Has a free tier
Mid-size to large enterprises needing a multilingual open-weight model with low-ish infrastructure requirements (2x H100 for full model). Especially good for retrieval-augmented generation over internal document stores, multi-language customer support, and workflows touching Asian / Middle Eastern / African languages where Command A's coverage materially beats Llama or Mistral. Also a strong pick for teams already in Cohere's enterprise ecosystem.
Visit Cohere Command APick Devin if...
Development teams that want to offload well-scoped tasks like bug fixes, test writing, and boilerplate code to an autonomous agent. Best when the task description is detailed and specific.
Visit DevinOur Verdict
Cohere Command A and Devin are extremely close overall. Your choice comes down to specific needs -- Cohere Command A is better for mid-size to large enterprises needing a multilingual open-weight model with low-ish infrastructure requirements (2x h100 for full model), while Devin works best for development teams that want to offload well-scoped tasks like bug fixes, test writing, and boilerplate code to an autonomous agent.