GPT-4.1 Nano vs Llama 3.3 70B

Compare GPT-4.1 Nano and Llama 3.3 70B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

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

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Feature GPT-4.1 Nano Llama 3.3 70B
CategoryCompactOpen Source
Parameters~8B70B
Context Window128K128K
Input Price$0.008/1M tokens$0.04/1M tokens
Output Price$0.02/1M tokens$0.06/1M tokens
Latency~80ms~300ms

Choose GPT-4.1 Nano when:

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

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

Choose Llama 3.3 70B when:

  • ✓ General Q&A
  • ✓ Hindi chatbots
  • ✓ Content generation
Key Strengths:

Proven reliability, Good Hindi/Tamil, 128K context

Verdict: GPT-4.1 Nano vs Llama 3.3 70B

For cost efficiency, GPT-4.1 Nano wins at $0.008/1M input tokens. For speed, Llama 3.3 70B is faster at ~300ms. GPT-4.1 Nano excels at Real-time chatbots while Llama 3.3 70B is better for General 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

GPT-4.1 Nano costs $0.008/1M input tokens and $0.02/1M output tokens. Llama 3.3 70B costs $0.04 input and $0.06 output. GPT-4.1 Nano is 5.0x 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. Llama 3.3 70B offers 128K context at ~300ms. Both have identical context windows.

Best For

GPT-4.1 Nano (Compact) is optimized for: Real-time chatbots, Classification, Intent detection. Llama 3.3 70B (Open Source) works best for: General Q&A, Hindi chatbots, 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 Llama 3.3 70B
response_b = client.chat.completions.create(
    model="llama-3-3-70b",
    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 Llama 3.3 70B?

GPT-4.1 Nano (Compact, ~8B) offers Ultra-low latency. Llama 3.3 70B (Open Source, 70B) offers Proven reliability. Choose GPT-4.1 Nano for Real-time chatbots or Llama 3.3 70B for General Q&A.

How much does GPT-4.1 Nano cost vs Llama 3.3 70B?

GPT-4.1 Nano: $0.008/1M input, $0.02/1M output. Llama 3.3 70B: $0.04/1M 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 Llama 3.3 70B 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.