Llama 3.1 405B vs Llama 3.2 1B
Compare Llama 3.1 405B and Llama 3.2 1B: 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 | Llama 3.1 405B | Llama 3.2 1B |
|---|---|---|
| Category | Open Source | Compact |
| Parameters | 405B | 1B |
| Context Window | 128K | 128K |
| Input Price | $0.08/1M tokens | $0.004/1M tokens |
| Output Price | $0.14/1M tokens | $0.008/1M tokens |
| Latency | ~600ms | ~25ms |
Choose Llama 3.1 405B when:
- ✓ Premium tasks
- ✓ Research
- ✓ Fine-tuning base
Largest open model, Highest open-source quality
Choose Llama 3.2 1B when:
- ✓ Intent detection
- ✓ Routing
- ✓ Edge classification
Smallest footprint, Fastest inference, Classification
Verdict: Llama 3.1 405B vs Llama 3.2 1B
For cost efficiency, Llama 3.2 1B wins at $0.004/1M input tokens. For speed, Llama 3.2 1B is faster at ~25ms. Llama 3.1 405B excels at Premium tasks while Llama 3.2 1B is better for Intent detection. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Llama 3.1 405B costs $0.08/1M input tokens and $0.14/1M output tokens. Llama 3.2 1B costs $0.004 input and $0.008 output. Llama 3.2 1B is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.1 405B has a 128K context window with ~600ms latency. Llama 3.2 1B offers 128K context at ~25ms. Both have identical context windows.
Best For
Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. Llama 3.2 1B (Compact) works best for: Intent detection, Routing, Edge classification.
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 Llama 3.1 405B
response_a = client.chat.completions.create(
model="llama-3-1-405b",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Llama 3.2 1B
response_b = client.chat.completions.create(
model="llama-3-2-1b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.1 405B or Llama 3.2 1B?
Llama 3.1 405B (Open Source, 405B) offers Largest open model. Llama 3.2 1B (Compact, 1B) offers Smallest footprint. Choose Llama 3.1 405B for Premium tasks or Llama 3.2 1B for Intent detection.
How much does Llama 3.1 405B cost vs Llama 3.2 1B?
Llama 3.1 405B: $0.08/1M input, $0.14/1M output. Llama 3.2 1B: $0.004/1M input, $0.008/1M 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 Llama 3.1 405B and Llama 3.2 1B 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.