GPT-4.1 Nano vs Yi Large

Compare GPT-4.1 Nano and Yi Large: 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 OpenAI models All 01.AI models What is an LLM API? Python Quickstart What is inference?
Feature GPT-4.1 Nano Yi Large
CategoryCompactOpen Source
Parameters~8B300B
Context Window128K200K
Input Price$0.008/1M tokens$0.06/1M tokens
Output Price$0.02/1M tokens$0.12/1M tokens
Latency~80ms~450ms

Choose GPT-4.1 Nano when:

  • ✓ Real-time chatbots
  • ✓ Classification
  • ✓ Intent detection
Key Strengths:

Ultra-low latency, Extremely low cost, 128K context

Choose Yi Large when:

  • ✓ Long document analysis
  • ✓ Research
  • ✓ Complex tasks
Key Strengths:

200K context, Strong analysis, Good reasoning

Verdict: GPT-4.1 Nano vs Yi Large

For cost efficiency, GPT-4.1 Nano wins at $0.008/1M input tokens. For speed, Yi Large is faster at ~450ms. GPT-4.1 Nano excels at Real-time chatbots while Yi Large is better for Long document analysis. 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. Yi Large costs $0.06 input and $0.12 output. GPT-4.1 Nano is 7.5x 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. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.

Best For

GPT-4.1 Nano (Compact) is optimized for: Real-time chatbots, Classification, Intent detection. Yi Large (Open Source) works best for: Long document analysis, Research, Complex tasks.

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 Yi Large
response_b = client.chat.completions.create(
    model="yi-large",
    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, GPT-4.1 Nano or Yi Large?

GPT-4.1 Nano (Compact, ~8B) offers Ultra-low latency. Yi Large (Open Source, 300B) offers 200K context. Choose GPT-4.1 Nano for Real-time chatbots or Yi Large for Long document analysis.

How much does GPT-4.1 Nano cost vs Yi Large?

GPT-4.1 Nano: $0.008/1M input, $0.02/1M output. Yi Large: $0.06/1M input, $0.12/1M 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 Yi Large by changing the model parameter. No code changes needed.

Related Comparisons

GPT-4.1 Nano vs GPT-4o Mini GPT-4.1 Nano vs Claude Haiku 3.5 GPT-4.1 Nano vs Gemma 3 27B GPT-4.1 Nano vs Gemma 3 12B GPT-4.1 Nano vs Gemma 3 4B GPT-4.1 Nano vs Gemini 2.5 Flash Lite

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