Huawei DevEco Code vs Groq

Compare Huawei DevEco Code and Groq: free credits, features, and ratings. Which one is right for you?

Category
Coding Assistant
API Platform
Rating
⭐ 4
⭐ 5
Free Credits
999999 unlimited
1000 requests/day
Refresh Period
unlimited
daily
Resolution
N/A
Watermark
No
No
Commercial Use
Yes
Yes
Paid From
Free
Pay-as-you-go

Huawei DevEco Code

Huawei CLI coding assistant with built-in Zhipu GLM-5.1 model, ready to use after login with no manual selection needed. Completely free with no usage limits, trained on Huawei Ascend chips, coding capability reaches 94.6% of Claude Opus 4.6. Rich theme options with dark/light mode switching, great looking interface.

Pros

  • βœ“Completely free with no limits, no queuing
  • βœ“GLM-5.1 coding capability near Claude Opus
  • βœ“npm install, 3 minutes to start
  • βœ“Based on Huawei Ascend chips, domestic autonomous
  • βœ“Not tied to HarmonyOS development, works for general coding

Cons

  • βœ—Standalone CLI tool, cannot integrate with Cursor/Claude Code
  • βœ—Currently positioned as HarmonyOS development assistant
  • βœ—Model capability not as strong as Claude Opus/GPT-4o

Key Features

Built-in GLM-5.1 free modelUnlimited usage, no limitsnpm global installHuawei account loginTerminal interface
View Details β†’

Groq

Groq uses custom LPU chips for inference, delivering speeds several times faster than standard GPUs. Free tier offers 1000 requests/day with Llama, Qwen, and other open-source models. If you need real-time response speed for chat or streaming, Groq is currently the fastest free inference service available.

Pros

  • βœ“Extremely fast inference with custom LPU hardware
  • βœ“Generous free tier: 1000 requests/day
  • βœ“Supports popular open-source models (Llama, Qwen, etc.)
  • βœ“OpenAI-compatible API format

Cons

  • βœ—Requires VPN from China
  • βœ—Only open-source models, no GPT/Claude
  • βœ—Free tier has concurrency and TPM limits

Key Features

LPU Hardware Inference17 Free ModelsOpenAI-Compatible APIStreaming OutputWhisper Speech-to-Text
View Details β†’