MiniMax-01 vs Command R

Compare MiniMax-01 and Command R: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All MiniMax models All Cohere models What is an LLM API? Python Quickstart What is inference?
Feature MiniMax-01 Command R
CategoryOpen SourceOpen Source
Parameters456B (46B active)35B
Context Window4M128K
Input Price$0.05/1M tokens$0.03/1M tokens
Output Price$0.10/1M tokens$0.06/1M tokens
Latency~400ms~250ms

Choose MiniMax-01 when:

  • ✓ Full library processing
  • ✓ Massive document analysis
  • ✓ Historical research
Key Strengths:

4M context, MoE efficiency, Strong multilingual

Choose Command R when:

  • ✓ RAG applications
  • ✓ Q&A systems
  • ✓ Content generation
Key Strengths:

Good RAG, Cost-efficient, 128K context

Verdict: MiniMax-01 vs Command R

For cost efficiency, Command R wins at $0.03/1M input tokens. For speed, Command R is faster at ~250ms. MiniMax-01 excels at Full library processing while Command R is better for RAG applications. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

MiniMax-01 costs $0.05/1M input tokens and $0.10/1M output tokens. Command R costs $0.03 input and $0.06 output. Command R is 1.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

MiniMax-01 has a 4M context window with ~400ms latency. Command R offers 128K context at ~250ms. MiniMax-01 has the larger context window.

Best For

MiniMax-01 (Open Source) is optimized for: Full library processing, Massive document analysis, Historical research. Command R (Open Source) works best for: RAG applications, Q&A systems, Content generation.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use MiniMax-01
response_a = client.chat.completions.create(
    model="minimax-01",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Command R
response_b = client.chat.completions.create(
    model="command-r",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, MiniMax-01 or Command R?

MiniMax-01 (Open Source, 456B (46B active)) offers 4M context. Command R (Open Source, 35B) offers Good RAG. Choose MiniMax-01 for Full library processing or Command R for RAG applications.

How much does MiniMax-01 cost vs Command R?

MiniMax-01: $0.05/1M input, $0.10/1M output. Command R: $0.03/1M input, $0.06/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between MiniMax-01 and Command R by changing the model parameter. No code changes needed.

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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.