Llama 3.1 405B vs Qwen 3 14B
Compare Llama 3.1 405B and Qwen 3 14B: 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 | Qwen 3 14B |
|---|---|---|
| Category | Open Source | Compact |
| Parameters | 405B | 14B |
| Context Window | 128K | 128K |
| Input Price | $0.08/1M tokens | $0.015/1M tokens |
| Output Price | $0.14/1M tokens | $0.03/1M tokens |
| Latency | ~600ms | ~100ms |
Choose Llama 3.1 405B when:
- ✓ Premium tasks
- ✓ Research
- ✓ Fine-tuning base
Largest open model, Highest open-source quality
Choose Qwen 3 14B when:
- ✓ Moderate tasks
- ✓ Fast chatbots
- ✓ Budget apps
Good reasoning for size, Fast, 128K context
Verdict: Llama 3.1 405B vs Qwen 3 14B
For cost efficiency, Qwen 3 14B wins at $0.015/1M input tokens. For speed, Qwen 3 14B is faster at ~100ms. Llama 3.1 405B excels at Premium tasks while Qwen 3 14B is better for Moderate tasks. 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. Qwen 3 14B costs $0.015 input and $0.03 output. Qwen 3 14B is 5.3x 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. Qwen 3 14B offers 128K context at ~100ms. Both have identical context windows.
Best For
Llama 3.1 405B (Open Source) is optimized for: Premium tasks, Research, Fine-tuning base. Qwen 3 14B (Compact) works best for: Moderate tasks, Fast chatbots, Budget apps.
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 Qwen 3 14B
response_b = client.chat.completions.create(
model="qwen-3-14b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.1 405B or Qwen 3 14B?
Llama 3.1 405B (Open Source, 405B) offers Largest open model. Qwen 3 14B (Compact, 14B) offers Good reasoning for size. Choose Llama 3.1 405B for Premium tasks or Qwen 3 14B for Moderate tasks.
How much does Llama 3.1 405B cost vs Qwen 3 14B?
Llama 3.1 405B: $0.08/1M input, $0.14/1M output. Qwen 3 14B: $0.015/1M input, $0.03/1M 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 Qwen 3 14B 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.