Command R vs Phi-3.5 Mini

Compare Command R and Phi-3.5 Mini: 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 Cohere models All Microsoft models What is an LLM API? Python Quickstart What is inference?
Feature Command R Phi-3.5 Mini
CategoryOpen SourceCompact
Parameters35B3.8B
Context Window128K128K
Input Price$0.03/1M tokens$0.005/1M tokens
Output Price$0.06/1M tokens$0.01/1M tokens
Latency~250ms~50ms

Choose Command R when:

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

Good RAG, Cost-efficient, 128K context

Choose Phi-3.5 Mini when:

  • ✓ Simple Q&A
  • ✓ Classification
  • ✓ Edge inference
Key Strengths:

128K context in tiny model, Ultra-low cost, Fast

Verdict: Command R vs Phi-3.5 Mini

For cost efficiency, Phi-3.5 Mini wins at $0.005/1M input tokens. For speed, Command R is faster at ~250ms. Command R excels at RAG applications while Phi-3.5 Mini is better for Simple Q&A. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Command R costs $0.03/1M input tokens and $0.06/1M output tokens. Phi-3.5 Mini costs $0.005 input and $0.01 output. Phi-3.5 Mini is 6.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Command R has a 128K context window with ~250ms latency. Phi-3.5 Mini offers 128K context at ~50ms. Both have identical context windows.

Best For

Command R (Open Source) is optimized for: RAG applications, Q&A systems, Content generation. Phi-3.5 Mini (Compact) works best for: Simple Q&A, Classification, Edge inference.

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

# Use Phi-3.5 Mini
response_b = client.chat.completions.create(
    model="phi-3-5-mini",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Command R or Phi-3.5 Mini?

Command R (Open Source, 35B) offers Good RAG. Phi-3.5 Mini (Compact, 3.8B) offers 128K context in tiny model. Choose Command R for RAG applications or Phi-3.5 Mini for Simple Q&A.

How much does Command R cost vs Phi-3.5 Mini?

Command R: $0.03/1M input, $0.06/1M output. Phi-3.5 Mini: $0.005/1M input, $0.01/1M 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 Command R and Phi-3.5 Mini by changing the model parameter. No code changes needed.

Related Comparisons

Command R vs GPT-4.1 Nano Command R vs GPT-4o Mini Command R vs Claude Haiku 3.5 Command R vs Gemma 3 27B Command R vs Gemma 3 12B Command R vs Gemma 3 4B

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