GPT-4.1 Nano vs Command R
Compare GPT-4.1 Nano 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
| Feature | GPT-4.1 Nano | Command R |
|---|---|---|
| Category | Compact | Open Source |
| Parameters | ~8B | 35B |
| Context Window | 128K | 128K |
| Input Price | $0.008/1M tokens | $0.03/1M tokens |
| Output Price | $0.02/1M tokens | $0.06/1M tokens |
| Latency | ~80ms | ~250ms |
Choose GPT-4.1 Nano when:
- ✓ Real-time chatbots
- ✓ Classification
- ✓ Intent detection
Ultra-low latency, Extremely low cost, 128K context
Choose Command R when:
- ✓ RAG applications
- ✓ Q&A systems
- ✓ Content generation
Good RAG, Cost-efficient, 128K context
Verdict: GPT-4.1 Nano vs Command R
For cost efficiency, GPT-4.1 Nano wins at $0.008/1M input tokens. For speed, Command R is faster at ~250ms. GPT-4.1 Nano excels at Real-time chatbots 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
GPT-4.1 Nano costs $0.008/1M input tokens and $0.02/1M output tokens. Command R costs $0.03 input and $0.06 output. GPT-4.1 Nano is 3.8x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
GPT-4.1 Nano has a 128K context window with ~80ms latency. Command R offers 128K context at ~250ms. Both have identical context windows.
Best For
GPT-4.1 Nano (Compact) is optimized for: Real-time chatbots, Classification, Intent detection. 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 GPT-4.1 Nano
response_a = client.chat.completions.create(
model="gpt-4-1-nano",
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"}]
)
Frequently Asked Questions
Which is better, GPT-4.1 Nano or Command R?
GPT-4.1 Nano (Compact, ~8B) offers Ultra-low latency. Command R (Open Source, 35B) offers Good RAG. Choose GPT-4.1 Nano for Real-time chatbots or Command R for RAG applications.
How much does GPT-4.1 Nano cost vs Command R?
GPT-4.1 Nano: $0.008/1M input, $0.02/1M 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 GPT-4.1 Nano 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.