Gemini 2.5 Flash Lite vs Llama 3.1 405B
Compare Gemini 2.5 Flash Lite and Llama 3.1 405B: 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 | Gemini 2.5 Flash Lite | Llama 3.1 405B |
|---|---|---|
| Category | Compact | Open Source |
| Parameters | ~50B | 405B |
| Context Window | 1M | 128K |
| Input Price | $0.008/1M tokens | $0.08/1M tokens |
| Output Price | $0.03/1M tokens | $0.14/1M tokens |
| Latency | ~120ms | ~600ms |
Choose Gemini 2.5 Flash Lite when:
- ✓ Budget applications
- ✓ Simple Q&A
- ✓ High-volume
Very low cost, 1M context, Fast
Choose Llama 3.1 405B when:
- ✓ Premium tasks
- ✓ Research
- ✓ Fine-tuning base
Largest open model, Highest open-source quality
Verdict: Gemini 2.5 Flash Lite vs Llama 3.1 405B
For cost efficiency, Gemini 2.5 Flash Lite wins at $0.008/1M input tokens. For speed, Gemini 2.5 Flash Lite is faster at ~120ms. Gemini 2.5 Flash Lite excels at Budget applications while Llama 3.1 405B is better for Premium 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
Gemini 2.5 Flash Lite costs $0.008/1M input tokens and $0.03/1M output tokens. Llama 3.1 405B costs $0.08 input and $0.14 output. Gemini 2.5 Flash Lite is 10.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Gemini 2.5 Flash Lite has a 1M context window with ~120ms latency. Llama 3.1 405B offers 128K context at ~600ms. Gemini 2.5 Flash Lite has the larger context window.
Best For
Gemini 2.5 Flash Lite (Compact) is optimized for: Budget applications, Simple Q&A, High-volume. Llama 3.1 405B (Open Source) works best for: Premium tasks, Research, Fine-tuning base.
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 Gemini 2.5 Flash Lite
response_a = client.chat.completions.create(
model="gemini-2-5-flash-lite",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Llama 3.1 405B
response_b = client.chat.completions.create(
model="llama-3-1-405b",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Gemini 2.5 Flash Lite or Llama 3.1 405B?
Gemini 2.5 Flash Lite (Compact, ~50B) offers Very low cost. Llama 3.1 405B (Open Source, 405B) offers Largest open model. Choose Gemini 2.5 Flash Lite for Budget applications or Llama 3.1 405B for Premium tasks.
How much does Gemini 2.5 Flash Lite cost vs Llama 3.1 405B?
Gemini 2.5 Flash Lite: $0.008/1M input, $0.03/1M output. Llama 3.1 405B: $0.08/1M input, $0.14/1M 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 Gemini 2.5 Flash Lite and Llama 3.1 405B 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.