Kimi vs Cerebras Inference
Compare Kimi and Cerebras Inference: free credits, features, and ratings. Which one is right for you?
Category
LLM
API Platform
Rating
β 3.5
β 3
Free Credits
0 undefined
null 30 RPM, 60K tokens/min
Refresh Period
daily
per-minute
Resolution
N/A
Watermark
No
No
Commercial Use
No
No
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
Cerebras Inference
Cerebras uses custom WSE (Wafer-Scale Engine) for inference, matching Groq's speed. Free tier: 30 RPM, 60K tokens/min. Currently requires joining a waitlist.
Pros
- βExtremely fast inference with WSE chip acceleration
- βGood TPM 60K allowance
- βIdeal for real-time applications
Cons
- βWaitlist required
- βRequires VPN from China
- βLimited model selection
Key Features
WSE Chip Inference30 RPM60K tokens/minUltra-Low Latency