Xiaomi MiMo Code vs Cohere
Compare Xiaomi MiMo Code and Cohere: free credits, features, and ratings. Which one is right for you?
Category
LLM
API Platform
Rating
β 4.5
β 3
Free Credits
1 month (MiMo-V2.5, 1M context). Platform signup bonus valid 40 days, invite friends for $2 each
null 20 RPM
Refresh Period
one-time
per-minute
Resolution
N/A
Watermark
No
No
Commercial Use
No
No
Paid From
Token Plan Lite and up
Pay-as-you-go
Xiaomi MiMo Code
Xiaomi's AI coding agent forked from OpenCode, open-sourced under MIT. The killer feature is the built-in MiMo Auto channel β zero config, free for 1 month, runs MiMo-V2.5 with 1M token context. Coding performance is on par with Claude Sonnet 4.6 on SWE-Bench, but 40-60% more token-efficient. Highlights: cross-session memory, voice input, auto knowledge distillation. After the free period, you need a Token Plan subscription.
Pros
- βFree for 1 month, zero config
- βCoding on par with Claude Sonnet 4.6
- β40-60% more token-efficient than Claude
- β1M token context window
- βPersistent cross-session memory
- βVoice input and auto knowledge distillation
- βMIT open source, BYOK supported
Cons
- βFree for only 1 month
- βFree channel only gives V2.5, Pro requires payment
- βCredit multiplier is high β advertised 1.6B credits sounds more than it is
- βEcosystem still early, community building
- βReal-name auth required for paid plans
Key Features
MiMo Auto zero-config free channelCross-session persistent memory (SQLite FTS5)Compose mode for spec-driven developmentVoice input (TenVAD + MiMo ASR)/dream auto knowledge extraction + /distill skill miningGoal stop-condition verificationSubagent parallel system1M token context windowMIT open source
Cohere
Enterprise AI platform with 20 RPM free tier. Command models excel in enterprise document processing, RAG, and search scenarios. Ideal for building enterprise AI applications.
Pros
- βEnterprise-grade stability
- βCommand models excel at RAG
- βHigh-quality embedding models
Cons
- β20 RPM is relatively low
- βRequires VPN from China
- βPrimarily targets enterprise users
Key Features
Command Model SeriesEmbedding ModelsRAG SupportEnterprise API