AtomCode vs Cerebras Inference
Compare AtomCode and Cerebras Inference: free credits, features, and ratings. Which one is right for you?
Category
Coding Assistant
API Platform
Rating
β 4.5
β 3
Free Credits
30 days
null 30 RPM, 60K tokens/min
Refresh Period
one-time
per-minute
Resolution
N/A
Watermark
No
No
Commercial Use
No
No
Paid From
CodingPlan free, API separate
Pay-as-you-go
AtomCode
Huawei-backed open-source terminal AI coding assistant, competing with Claude Code. CodingPlan offers free 30-day access to GLM-5.1, DeepSeek-V4-Flash, Qwen3 series and more, running on Ascend chips with 5-hour rolling window metering.
Pros
- βPro tier free with GLM-5.1 top-tier model
- βRich model lineup covering top Chinese open-source LLMs
- βStrong Agent capabilities, not just API wrapper
- βNo VPN needed, WeChat login
- βAscend chip deployment, low compute cost
Cons
- βLimited daily free quotas, need to grab early
- βClient-only, no third-party API access
- β30-day validity, no renewal mechanism
- βWeChat login only, no other login options
Key Features
GLM-5.1 #1 open-source coding model (Artificial Analysis benchmark)Pro tier: GLM-5.1, DeepSeek-V4-Flash, Qwen3 seriesLite tier: DeepSeek-V4-Flash, Qwen3.6-35B-A3B, MiniMax-M2.7Smart Agent loop: auto read, edit, run, search, verify8 built-in code tools: symbol indexing, call chain trackingSafe rollback: /undo one-click revert5-hour rolling window meteringRuns on Huawei Ascend chips, no VPN needed
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