Kimi vs Groq
Compare Kimi and Groq: free credits, features, and ratings. Which one is right for you?
Category
LLM
API Platform
Rating
β 3.5
β 5
Free Credits
0 undefined
1000 requests/day
Refresh Period
daily
daily
Resolution
N/A
Watermark
No
No
Commercial Use
No
Yes
Paid From
API $0.12/million tokens
Pay-as-you-go
Kimi
By Moonshot AI, Kimi K2.6 focuses on coding and agent capabilities. 13-hour non-stop coding, 300 sub-agents in parallel, SWE-Bench Pro score of 58.6. Free tier includes daily credits for chat and light coding tasks.
Pros
- βK2.6 coding performance near Claude Sonnet
- βOpen-weight model, self-hostable
- βFree credits daily
- βMassive 2M context window
- βAgent Swarm for parallel tasks
- βAccessible in China without VPN
Cons
- βFree tier limited, heavy use requires payment
- βK2-Thinking mode is slow
- βComplex reasoning below top closed-source models
- βAPI pricing adds up for heavy use
Key Features
K2.6 coding + agent modelAgent Swarm: 300 parallel sub-agents13-hour non-stop coding2M character context windowWeb search with real-time infoKimi Code coding assistantKimi Claw AI agentDeep Research modeSlides/Websites/Docs/Sheets generation
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
- βExtremely fast inference with custom LPU hardware
- βGenerous free tier: 1000 requests/day
- βSupports popular open-source models (Llama, Qwen, etc.)
- βOpenAI-compatible API format
Cons
- βRequires VPN from China
- βOnly open-source models, no GPT/Claude
- βFree tier has concurrency and TPM limits
Key Features
LPU Hardware Inference17 Free ModelsOpenAI-Compatible APIStreaming OutputWhisper Speech-to-Text